A scientific writing pedagogy and mixed methods assessment for engineering education using open-coding and multi-dimensional scaling View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02-12

AUTHORS

Jinsong Tao, Stephen C. McClure, Xiaoxing Zhang, Muhammad Waqas, Xishan Wen

ABSTRACT

Assessments of new pedagogical practices usually rely on instructor oriented surveys and questionnaires to measure student perceptions of teaching methods; however, fixed response categories in structured questionnaires might bias results. This paper demonstrates a mixed methods approach using open and multi-dimensional scaling (MDS) for a student-oriented exploratory analysis and visualization of perceptions of teaching methods. A scientific writing and research methodology course is a required course for first year PhD students in software engineering and geo-infomatics at Wuhan University, China. PhD students attending this course came from countries whose first language is not English, and from a variety of software engineering and geo-infomatics domains. The problem therefore, was to elicit un-mediated perceptions of course assignment, reduce and generalize the resulting data for interpretation. A graphical visualization of themes emerging in student responses to two open-ended questions about an assignment provided a basis for inferring student interests and needs. In this course, an assessment of a task oriented problem-solving experience was implemented through a mixed method strategy incorporating qualitative methods, exploratory data mining techniques, and cartographic visualization. The visualization shows that participating students generally perceived the exercise as challenging, helped them understand journal requirements, and develop ways to survey texts to extract information. The results also suggested that this consensus breaks down in terms of each participant’s own goals, domain, and research interests. Unstructured questions, open coding, and MDS visualization might also prove to be helpful in the process of devising and assessing other student centered pedagogies. More... »

PAGES

1-14

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10798-019-09504-w

DOI

http://dx.doi.org/10.1007/s10798-019-09504-w

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112094182


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Wuhan University", 
          "id": "https://www.grid.ac/institutes/grid.49470.3e", 
          "name": [
            "School of Electrical Engineering, Wuhan University, 430072, Luojiashan, Wuchang, Wuhan, Hubei Province, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tao", 
        "givenName": "Jinsong", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wuhan University", 
          "id": "https://www.grid.ac/institutes/grid.49470.3e", 
          "name": [
            "State Key Lab of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, 430079, Luoyulu, Wuchang, Wuhan, Hubei Province, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McClure", 
        "givenName": "Stephen C.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wuhan University", 
          "id": "https://www.grid.ac/institutes/grid.49470.3e", 
          "name": [
            "School of Electrical Engineering, Wuhan University, 430072, Luojiashan, Wuchang, Wuhan, Hubei Province, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Xiaoxing", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wuhan University", 
          "id": "https://www.grid.ac/institutes/grid.49470.3e", 
          "name": [
            "School of Electrical Engineering, Wuhan University, 430072, Luojiashan, Wuchang, Wuhan, Hubei Province, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Waqas", 
        "givenName": "Muhammad", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wuhan University", 
          "id": "https://www.grid.ac/institutes/grid.49470.3e", 
          "name": [
            "School of Electrical Engineering, Wuhan University, 430072, Luojiashan, Wuchang, Wuhan, Hubei Province, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wen", 
        "givenName": "Xishan", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10798-012-9217-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003604770", 
          "https://doi.org/10.1007/s10798-012-9217-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.17763/haer.40.2.q7n227021n148p26", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003890061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1525822x05282260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016960985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1525822x05282260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016960985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02289694", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018964677", 
          "https://doi.org/10.1007/bf02289694"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0020720915571239", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019972385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0020720915571239", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019972385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0020720915571239", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019972385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1697-2600(14)70040-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024243360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10798-015-9332-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028520914", 
          "https://doi.org/10.1007/s10798-015-9332-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10639-012-9200-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028672176", 
          "https://doi.org/10.1007/s10639-012-9200-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02289630", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029294563", 
          "https://doi.org/10.1007/bf02289630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02289630", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029294563", 
          "https://doi.org/10.1007/bf02289630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02289621", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029473485", 
          "https://doi.org/10.1007/bf02289621"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02289621", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029473485", 
          "https://doi.org/10.1007/bf02289621"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.0026-7902.2004.t01-16-.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034308777"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jeap.2005.10.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035163681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5480/13-1136.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039823202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5480/13-1136.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039823202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0889-4906(96)00020-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042498995"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nag.1610180102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048288077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nag.1610180102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048288077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.jchemed.5b00678", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055097802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/te.2013.2256424", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061587865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jee.20161", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084908359"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jee.20161", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084908359"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2991/hss-17.2017.26", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1097033306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2991/hss-17.2017.26", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1097033306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1057083718761812", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101730084"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1057083718761812", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101730084"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1787/256502026705", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107179444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1787/256502026705", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107179444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1787/256502026705", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107179444"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-02-12", 
    "datePublishedReg": "2019-02-12", 
    "description": "Assessments of new pedagogical practices usually rely on instructor oriented surveys and questionnaires to measure student perceptions of teaching methods; however, fixed response categories in structured questionnaires might bias results. This paper demonstrates a mixed methods approach using open and multi-dimensional scaling (MDS) for a student-oriented exploratory analysis and visualization of perceptions of teaching methods. A scientific writing and research methodology course is a required course for first year PhD students in software engineering and geo-infomatics at Wuhan University, China. PhD students attending this course came from countries whose first language is not English, and from a variety of software engineering and geo-infomatics domains. The problem therefore, was to elicit un-mediated perceptions of course assignment, reduce and generalize the resulting data for interpretation. A graphical visualization of themes emerging in student responses to two open-ended questions about an assignment provided a basis for inferring student interests and needs. In this course, an assessment of a task oriented problem-solving experience was implemented through a mixed method strategy incorporating qualitative methods, exploratory data mining techniques, and cartographic visualization. The visualization shows that participating students generally perceived the exercise as challenging, helped them understand journal requirements, and develop ways to survey texts to extract information. The results also suggested that this consensus breaks down in terms of each participant\u2019s own goals, domain, and research interests. Unstructured questions, open coding, and MDS visualization might also prove to be helpful in the process of devising and assessing other student centered pedagogies.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10798-019-09504-w", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136529", 
        "issn": [
          "0957-7572", 
          "1573-1804"
        ], 
        "name": "International Journal of Technology and Design Education", 
        "type": "Periodical"
      }
    ], 
    "name": "A scientific writing pedagogy and mixed methods assessment for engineering education using open-coding and multi-dimensional scaling", 
    "pagination": "1-14", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "de084514e03c73d7f64361dc23f68a7448ac9247544d3f749fc8e2d538d8cd62"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10798-019-09504-w"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112094182"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10798-019-09504-w", 
      "https://app.dimensions.ai/details/publication/pub.1112094182"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:05", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000335_0000000335/records_125267_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10798-019-09504-w"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10798-019-09504-w'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10798-019-09504-w'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10798-019-09504-w'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10798-019-09504-w'


 

This table displays all metadata directly associated to this object as RDF triples.

148 TRIPLES      21 PREDICATES      45 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10798-019-09504-w schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author N9b92ec7dfc3f41ddb0ec9768d29ae753
4 schema:citation sg:pub.10.1007/bf02289621
5 sg:pub.10.1007/bf02289630
6 sg:pub.10.1007/bf02289694
7 sg:pub.10.1007/s10639-012-9200-5
8 sg:pub.10.1007/s10798-012-9217-5
9 sg:pub.10.1007/s10798-015-9332-1
10 https://doi.org/10.1002/jee.20161
11 https://doi.org/10.1002/nag.1610180102
12 https://doi.org/10.1016/j.jeap.2005.10.002
13 https://doi.org/10.1016/s0889-4906(96)00020-8
14 https://doi.org/10.1016/s1697-2600(14)70040-7
15 https://doi.org/10.1021/acs.jchemed.5b00678
16 https://doi.org/10.1109/te.2013.2256424
17 https://doi.org/10.1111/j.0026-7902.2004.t01-16-.x
18 https://doi.org/10.1177/0020720915571239
19 https://doi.org/10.1177/1057083718761812
20 https://doi.org/10.1177/1525822x05282260
21 https://doi.org/10.17763/haer.40.2.q7n227021n148p26
22 https://doi.org/10.1787/256502026705
23 https://doi.org/10.2991/hss-17.2017.26
24 https://doi.org/10.5480/13-1136.1
25 schema:datePublished 2019-02-12
26 schema:datePublishedReg 2019-02-12
27 schema:description Assessments of new pedagogical practices usually rely on instructor oriented surveys and questionnaires to measure student perceptions of teaching methods; however, fixed response categories in structured questionnaires might bias results. This paper demonstrates a mixed methods approach using open and multi-dimensional scaling (MDS) for a student-oriented exploratory analysis and visualization of perceptions of teaching methods. A scientific writing and research methodology course is a required course for first year PhD students in software engineering and geo-infomatics at Wuhan University, China. PhD students attending this course came from countries whose first language is not English, and from a variety of software engineering and geo-infomatics domains. The problem therefore, was to elicit un-mediated perceptions of course assignment, reduce and generalize the resulting data for interpretation. A graphical visualization of themes emerging in student responses to two open-ended questions about an assignment provided a basis for inferring student interests and needs. In this course, an assessment of a task oriented problem-solving experience was implemented through a mixed method strategy incorporating qualitative methods, exploratory data mining techniques, and cartographic visualization. The visualization shows that participating students generally perceived the exercise as challenging, helped them understand journal requirements, and develop ways to survey texts to extract information. The results also suggested that this consensus breaks down in terms of each participant’s own goals, domain, and research interests. Unstructured questions, open coding, and MDS visualization might also prove to be helpful in the process of devising and assessing other student centered pedagogies.
28 schema:genre research_article
29 schema:inLanguage en
30 schema:isAccessibleForFree false
31 schema:isPartOf sg:journal.1136529
32 schema:name A scientific writing pedagogy and mixed methods assessment for engineering education using open-coding and multi-dimensional scaling
33 schema:pagination 1-14
34 schema:productId N2fb3329ba18f4ee3ba7f7b033fa77518
35 Nbb3447fd1ad7442c9580db12d65f73f1
36 Nbde5a0bc4bc44812adb45751354dc2ef
37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112094182
38 https://doi.org/10.1007/s10798-019-09504-w
39 schema:sdDatePublished 2019-04-11T09:05
40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
41 schema:sdPublisher N2fbb06dc94a34be78179b3834ec581a1
42 schema:url https://link.springer.com/10.1007%2Fs10798-019-09504-w
43 sgo:license sg:explorer/license/
44 sgo:sdDataset articles
45 rdf:type schema:ScholarlyArticle
46 N14f43838911846e8b80561499770fb3f schema:affiliation https://www.grid.ac/institutes/grid.49470.3e
47 schema:familyName Zhang
48 schema:givenName Xiaoxing
49 rdf:type schema:Person
50 N17239a9ab8564b0d8d5512bff01df216 rdf:first Ncf320f227e844f10a7a6ffb5c14d91b7
51 rdf:rest Nac8fbed712374a01abe04a82b283b17b
52 N2bae15155cee46868795e69459efc2ce schema:affiliation https://www.grid.ac/institutes/grid.49470.3e
53 schema:familyName Tao
54 schema:givenName Jinsong
55 rdf:type schema:Person
56 N2fb3329ba18f4ee3ba7f7b033fa77518 schema:name doi
57 schema:value 10.1007/s10798-019-09504-w
58 rdf:type schema:PropertyValue
59 N2fbb06dc94a34be78179b3834ec581a1 schema:name Springer Nature - SN SciGraph project
60 rdf:type schema:Organization
61 N3d0801697dea4fab8ccc84d5100e919b rdf:first N14f43838911846e8b80561499770fb3f
62 rdf:rest N17239a9ab8564b0d8d5512bff01df216
63 N5d598e5da09544f8ac9c872a72a404a2 rdf:first N6c6f54d8ca4947fd9521115ce925d4f4
64 rdf:rest N3d0801697dea4fab8ccc84d5100e919b
65 N6c6f54d8ca4947fd9521115ce925d4f4 schema:affiliation https://www.grid.ac/institutes/grid.49470.3e
66 schema:familyName McClure
67 schema:givenName Stephen C.
68 rdf:type schema:Person
69 N9b92ec7dfc3f41ddb0ec9768d29ae753 rdf:first N2bae15155cee46868795e69459efc2ce
70 rdf:rest N5d598e5da09544f8ac9c872a72a404a2
71 Nac8fbed712374a01abe04a82b283b17b rdf:first Nd5bb1d3489f34151ab4d412728bea5b6
72 rdf:rest rdf:nil
73 Nbb3447fd1ad7442c9580db12d65f73f1 schema:name readcube_id
74 schema:value de084514e03c73d7f64361dc23f68a7448ac9247544d3f749fc8e2d538d8cd62
75 rdf:type schema:PropertyValue
76 Nbde5a0bc4bc44812adb45751354dc2ef schema:name dimensions_id
77 schema:value pub.1112094182
78 rdf:type schema:PropertyValue
79 Ncf320f227e844f10a7a6ffb5c14d91b7 schema:affiliation https://www.grid.ac/institutes/grid.49470.3e
80 schema:familyName Waqas
81 schema:givenName Muhammad
82 rdf:type schema:Person
83 Nd5bb1d3489f34151ab4d412728bea5b6 schema:affiliation https://www.grid.ac/institutes/grid.49470.3e
84 schema:familyName Wen
85 schema:givenName Xishan
86 rdf:type schema:Person
87 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
88 schema:name Information and Computing Sciences
89 rdf:type schema:DefinedTerm
90 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
91 schema:name Information Systems
92 rdf:type schema:DefinedTerm
93 sg:journal.1136529 schema:issn 0957-7572
94 1573-1804
95 schema:name International Journal of Technology and Design Education
96 rdf:type schema:Periodical
97 sg:pub.10.1007/bf02289621 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029473485
98 https://doi.org/10.1007/bf02289621
99 rdf:type schema:CreativeWork
100 sg:pub.10.1007/bf02289630 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029294563
101 https://doi.org/10.1007/bf02289630
102 rdf:type schema:CreativeWork
103 sg:pub.10.1007/bf02289694 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018964677
104 https://doi.org/10.1007/bf02289694
105 rdf:type schema:CreativeWork
106 sg:pub.10.1007/s10639-012-9200-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028672176
107 https://doi.org/10.1007/s10639-012-9200-5
108 rdf:type schema:CreativeWork
109 sg:pub.10.1007/s10798-012-9217-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003604770
110 https://doi.org/10.1007/s10798-012-9217-5
111 rdf:type schema:CreativeWork
112 sg:pub.10.1007/s10798-015-9332-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028520914
113 https://doi.org/10.1007/s10798-015-9332-1
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1002/jee.20161 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084908359
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1002/nag.1610180102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048288077
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/j.jeap.2005.10.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035163681
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/s0889-4906(96)00020-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042498995
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/s1697-2600(14)70040-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024243360
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1021/acs.jchemed.5b00678 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055097802
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1109/te.2013.2256424 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061587865
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1111/j.0026-7902.2004.t01-16-.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034308777
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1177/0020720915571239 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019972385
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1177/1057083718761812 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101730084
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1177/1525822x05282260 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016960985
136 rdf:type schema:CreativeWork
137 https://doi.org/10.17763/haer.40.2.q7n227021n148p26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003890061
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1787/256502026705 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107179444
140 rdf:type schema:CreativeWork
141 https://doi.org/10.2991/hss-17.2017.26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1097033306
142 rdf:type schema:CreativeWork
143 https://doi.org/10.5480/13-1136.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039823202
144 rdf:type schema:CreativeWork
145 https://www.grid.ac/institutes/grid.49470.3e schema:alternateName Wuhan University
146 schema:name School of Electrical Engineering, Wuhan University, 430072, Luojiashan, Wuchang, Wuhan, Hubei Province, People’s Republic of China
147 State Key Lab of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, 430079, Luoyulu, Wuchang, Wuhan, Hubei Province, People’s Republic of China
148 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...