Shu‐Ling Wang

1.5k citations
34 papers · 1.1k · h-index 14

Impact in

Papers in

Shu‐Ling Wang

32 papers receiving 1.0k citations

Peers

Shu‐Ling Wang
Comparison fields: 5 of 142
  • Developmental and Educational Psychology 279
  • Computer Science Applications 92
  • Communication 75
  • Education 306
  • Human-Computer Interaction 39
Replace Jungjoo Kim with:
Jungjoo Kim South Korea
David Hung Singapore
Ruth Cohen Netherlands
David Wood United Kingdom
Qiu Wang China
Hilary Constable United Kingdom
Frank Nguyen United States
Norlidah Alias Malaysia
Pei-Yi Lin Taiwan
Lanqin Zheng China
Shu‐Ling Wang relative to Jungjoo Kim South Korea Jungjoo Kim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shu‐Ling Wang

Since Specialization
Citations

This map shows the geographic impact of Shu‐Ling Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shu‐Ling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Ling Wang more than expected).

Fields of papers citing papers by Shu‐Ling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Ling Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shu‐Ling Wang. The network helps show where Shu‐Ling Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Shu‐Ling Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shu‐Ling Wang Line = papers co-authored together Shu‐Ling Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008239
2 2013215
3 2006134
4 201179
5 201163
6 202060
7 200660
8 201146
9 201828
10 201823
11 201820
12 201820
13 202113
14 200413
15
The Role of Group Interaction in Collective Efficacy and CSCL Performance.
201411
16 200711
17 200710
18 20239
19
Research on the Happiness Management Model from the Perspective of Psychological Capital
20108
20 20135

About Shu‐Ling Wang

Shu‐Ling Wang is a scholar working on Developmental and Educational Psychology, Education, Surgery, Social Psychology and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (9 papers), Online and Blended Learning (8 papers), Surgical Simulation and Training (2 papers), Emotional Intelligence and Performance (2 papers), Impact of Technology on Adolescents (2 papers), Educational Strategies and Epistemologies (2 papers), Pancreatitis Pathology and Treatment (2 papers) and Team Dynamics and Performance (2 papers). The work is most often cited by research in Developmental and Educational Psychology (279 citations), Computer Science Applications (92 citations), Communication (75 citations), Education (306 citations) and Human-Computer Interaction (39 citations). Shu‐Ling Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Peiyi Wu, Sunny S. J. Lin, Gwo‐Jen Hwang, Yingqiang Shen, Yuanyuan Li, Tian Xie, Fen Wang, Anming Wang, Huiting Hong and Xiaoli Pang. Their work appears in journals such as Computers & Education, Journal of Medical Internet Research, JMIR Medical Education, Educational Technology Research and Development and Brain Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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