Shu‐Ling Wang

31 papers receiving 1.1k citations

Peers

Shu‐Ling Wang
Comparison fields: 5 of 92
  • Developmental and Educational Psychology 106
  • Computer Science Applications 34
  • Education 163
  • General Dentistry 2
  • Biomaterials 40
Replace Anne E. Meyer with:
Anne E. Meyer United States
Chia‐Wen Tsai Taiwan
Michelle E. Jordan United States
Shu-Ling Lai Taiwan
Jing Lv China
Idalis Villanueva United States
Johannes Ströbel United States
Chun‐Wang Wei Taiwan
Scott Nicholson United States
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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 2008260
2 2013227
3 2006145
4 201185
5 200669
6 202066
7 201165
8 201148
9 201831
10 201824
11 201822
12 201820
13 202116
14 200715
15 200414
16 202313
17
The Role of Group Interaction in Collective Efficacy and CSCL Performance.
201411
18 200710
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, Leadership and Management, Radiology, Nuclear Medicine and Imaging, Clinical Psychology and Computer Science Applications, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (4 papers), Radiology practices and education (2 papers), Pancreatitis Pathology and Treatment (2 papers), COVID-19 and Mental Health (2 papers), Maternal Mental Health During Pregnancy and Postpartum (1 paper), Mobile Learning in Education (1 paper), Open Education and E-Learning (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Developmental and Educational Psychology (106 citations), Computer Science Applications (34 citations), Education (163 citations), General Dentistry (2 citations) and Biomaterials (40 citations). Shu‐Ling Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Sunny S. J. Lin, Gwo‐Jen Hwang, Yingqiang Shen, Anming Wang, Tian Xie, Fen Wang, Yuanyuan Li, Lele Xu, Li Yao and Wei Wang. Their work appears in journals such as Frontiers in Medicine, Computers & Education, Patient Education and Counseling, International Journal of Molecular Sciences and Computers in Human Behavior.

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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