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 N4c9bb8b27c874cda92476b7c809b4a8b
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 N449accccffc9414a86ab1c7e89f59419
35 N9a65b9a1c22b4041b02a78a23bfde586
36 N9c439cdbfbd9463a87424bad3a2c1bad
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 N14480ab3f2d746f7a1f7c408623c86f4
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 N12c77bf135a94aada3729d3c685aa6e1 rdf:first N15bfc00a4e9844cb9288f5ce205dc24b
47 rdf:rest Ne51d9423975142fb97a6ae2ae36c3429
48 N14480ab3f2d746f7a1f7c408623c86f4 schema:name Springer Nature - SN SciGraph project
49 rdf:type schema:Organization
50 N15bfc00a4e9844cb9288f5ce205dc24b schema:affiliation https://www.grid.ac/institutes/grid.49470.3e
51 schema:familyName Waqas
52 schema:givenName Muhammad
53 rdf:type schema:Person
54 N449accccffc9414a86ab1c7e89f59419 schema:name readcube_id
55 schema:value de084514e03c73d7f64361dc23f68a7448ac9247544d3f749fc8e2d538d8cd62
56 rdf:type schema:PropertyValue
57 N4b01391e166443848aa4c95b1ae91d08 schema:affiliation https://www.grid.ac/institutes/grid.49470.3e
58 schema:familyName Tao
59 schema:givenName Jinsong
60 rdf:type schema:Person
61 N4c9bb8b27c874cda92476b7c809b4a8b rdf:first N4b01391e166443848aa4c95b1ae91d08
62 rdf:rest Nd04ea3df35014dd68379265cecd8b08e
63 N51014e6b6de2480394a17116bf260c81 schema:affiliation https://www.grid.ac/institutes/grid.49470.3e
64 schema:familyName Zhang
65 schema:givenName Xiaoxing
66 rdf:type schema:Person
67 N843cf50452b441c2a7869321cc8e65c3 rdf:first N51014e6b6de2480394a17116bf260c81
68 rdf:rest N12c77bf135a94aada3729d3c685aa6e1
69 N9a65b9a1c22b4041b02a78a23bfde586 schema:name doi
70 schema:value 10.1007/s10798-019-09504-w
71 rdf:type schema:PropertyValue
72 N9c439cdbfbd9463a87424bad3a2c1bad schema:name dimensions_id
73 schema:value pub.1112094182
74 rdf:type schema:PropertyValue
75 Na999b1a303f74d33aafb02917320a814 schema:affiliation https://www.grid.ac/institutes/grid.49470.3e
76 schema:familyName McClure
77 schema:givenName Stephen C.
78 rdf:type schema:Person
79 Nd04ea3df35014dd68379265cecd8b08e rdf:first Na999b1a303f74d33aafb02917320a814
80 rdf:rest N843cf50452b441c2a7869321cc8e65c3
81 Nd40df756393b40989b26b9def5597b41 schema:affiliation https://www.grid.ac/institutes/grid.49470.3e
82 schema:familyName Wen
83 schema:givenName Xishan
84 rdf:type schema:Person
85 Ne51d9423975142fb97a6ae2ae36c3429 rdf:first Nd40df756393b40989b26b9def5597b41
86 rdf:rest rdf:nil
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)


...