Wenbin Gan
Impact in
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- Online Learning and Analytics
- Artificial Intelligence top 10%
- Intelligent Tutoring Systems and Adaptive Learning
- Topic Modeling
- Natural Language Processing Techniques
Papers in
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- Intelligent Tutoring Systems and Adaptive Learning 9
- Topic Modeling 3
- Natural Language Processing Techniques 2
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- Online Learning and Analytics 8
- Co-authors
- Yuan Sun (8 shared papers)Yi Sun (6 shared papers)Mingshu Wang (4 shared papers)Xinguo Yu (5 shared papers)Cui Li (1 shared paper)Jianqiang Shen (1 shared paper)Ting Zhang (1 shared paper)Xinguo Yu (3 shared papers)
In The Last Decade
Wenbin Gan
21 papers receiving 258 citations
Peers
Comparison fields: 5 of 48
- Computer Science Applications 86
- Artificial Intelligence 168
- Computer Vision and Pattern Recognition 47
- Health Informatics 3
- Information Systems 42
Countries citing papers authored by Wenbin Gan
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
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.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 41 | |
| 2 | 2021 | 39 | |
| 3 | 2020 | 34 | |
| 4 | 2018 | 27 | |
| 5 | 2018 | 25 | |
| 6 | 2022 | 20 | |
| 7 | 2019 | 13 | |
| 8 | 2017 | 11 | |
| 9 | 2019 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2014 | 4 | |
| 15 | 2022 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2006 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2016 | 1 | |
| 20 | 2025 | 1 |
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 263 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), Educational Technology and Assessment (3 papers), Human-Automation Interaction and Safety (3 papers), Handwritten Text Recognition Techniques (3 papers), Topic Modeling (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Computer Science Applications (86 citations), Artificial Intelligence (168 citations), Computer Vision and Pattern Recognition (47 citations), Health Informatics (3 citations) and Information Systems (42 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, Cui Li, Jianqiang Shen, Ting Zhang, Xinguo Yu, Nan Ye and Bin He. Their work appears in journals such as Applied Intelligence, International Journal of Structural Stability and Dynamics, International Journal of Intelligent Systems, Journal of Information Science and Neurocomputing.
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.