Wenbin Gan

444 citations
23 papers · 281 · h-index 10

Impact in

Papers in

Wenbin Gan

21 papers receiving 278 citations

Peers

Wenbin Gan
Comparison fields: 5 of 49
  • Computer Science Applications 90
  • Artificial Intelligence 175
  • Computer Vision and Pattern Recognition 49
  • Health Informatics 3
  • Developmental and Educational Psychology 25
Replace Jamie L. Godwin with:
Jamie L. Godwin United Kingdom
Guoping Hu China
B.M.G. Cheetham United Kingdom
Tsung-Yen Yang United States
A. Sheik Abdullah India
Jubilant J Kizhakkethottam India
Théophile Gervet United States
Yashesh Gaur United States
Wenbin Gan relative to Jamie L. Godwin United Kingdom Jamie L. Godwin's profile →
Citations per field
00.5×12.3×
Jamie L. Godwin · 1×
Citations per year

Countries citing papers authored by Wenbin Gan

Since Specialization
Citations

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

Fields of papers citing papers by Wenbin Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Wenbin Gan, 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 Wenbin Gan Line = papers co-authored together Wenbin Gan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202044
2 202142
3 202037
4 201827
5 201826
6 202222
7 201913
8 202213
9 201711
10 20199
11 20199
12 20207
13 20206
14 20144
15 20232
16 20062
17 20222
18 20222
19 20151
20 20161

About Wenbin Gan

Wenbin Gan is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Computer Vision and Pattern Recognition and Developmental and Educational Psychology, having authored 23 papers that have together received 281 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (9 papers), Online Learning and Analytics (8 papers), Innovative Teaching and Learning Methods (4 papers), Human-Automation Interaction and Safety (3 papers), Handwritten Text Recognition Techniques (3 papers), Educational Technology and Assessment (3 papers), Topic Modeling (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Computer Science Applications (90 citations), Artificial Intelligence (175 citations), Computer Vision and Pattern Recognition (49 citations), Health Informatics (3 citations) and Developmental and Educational Psychology (25 citations). Wenbin Gan has collaborated with scholars based in China, Japan and Australia. Frequent co-authors include Yuan Sun, Yi Sun, Mingshu Wang, Xinguo Yu, Jianqiang Shen, Cui Li, Ting Zhang, Bin He, Nan Ye and Koji Zettsu. Their work appears in journals such as Applied Intelligence, Neurocomputing, International Journal of Intelligent Systems, Journal of Information Science and International Journal of Structural Stability and Dynamics.

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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