Stephen Tang

56 papers receiving 1.1k citations

Peers

Stephen Tang
Comparison fields: 5 of 118
  • Developmental and Educational Psychology 200
  • Computer Science Applications 73
  • Mechanics of Materials 249
  • Clinical Psychology 175
  • General Health Professions 201
Replace Janet McDonnell with:
Janet McDonnell United Kingdom
David Delgado‐Gómez Spain
Juan C. Quiroz Australia
Manfred Huber United States
Louis A. Roussos United States
S. Camille Peres United States
Luís A. Castro Mexico
Jacques Leplat France
Hui Tang China
O. Hayden Griffin United States
Stephen Tang relative to Janet McDonnell United Kingdom Janet McDonnell's profile →
Citations per field
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Janet McDonnell · 1×
Citations per year

Countries citing papers authored by Stephen Tang

Since Specialization
Citations

This map shows the geographic impact of Stephen Tang'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 Stephen Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Tang more than expected).

Fields of papers citing papers by Stephen Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Tang. 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 Stephen Tang. The network helps show where Stephen Tang may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen Tang, 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 Stephen Tang Line = papers co-authored together Stephen Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011313
2 200999
3 197591
4 201886
5 200379
6 197560
7 197748
8 201642
9 201040
10
State-of-the-Art Model Driven Game Development: A Survey of Technological Solutions for Game-Based Learning
201128
11 201127
12 201526
13 197621
14 202021
15
A Platform Independent Game Technology Model for Model Driven Serious Games Development.
201318
16 201315
17 201615
18 201814
19 197914
20 201513

About Stephen Tang

Stephen Tang is a scholar working on Developmental and Educational Psychology, Mechanics of Materials, Law, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Educational Games and Gamification (13 papers), Legal Education and Practice Innovations (12 papers), Context-Aware Activity Recognition Systems (6 papers), Mechanical Behavior of Composites (6 papers), Composite Structure Analysis and Optimization (6 papers), Business Process Modeling and Analysis (5 papers), IoT and Edge/Fog Computing (5 papers) and Occupational and Professional Licensing Regulation (5 papers). The work is most often cited by research in Developmental and Educational Psychology (200 citations), Computer Science Applications (73 citations), Mechanics of Materials (249 citations), Clinical Psychology (175 citations) and General Health Professions (201 citations). Stephen Tang has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Martin Hanneghan, A. Levy, Po Yang, Abdennour El Rhalibi, Jun Qi, Michelle Funk, Oliver Lewis, Benedetto Saraceno, Soumitra Pathare and Natalie Drew. Their work appears in journals such as Journal of Composite Materials, Acta Mechanica, The Electronic Journal of e-Learning, The Lancet and Internet of Things.

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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