Yan Gan
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Multimodal Machine Learning Applications
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- Stock Market Forecasting Methods
Papers in
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- Generative Adversarial Networks and Image Synthesis 15
- Advanced Image Processing Techniques 10
- Digital Media Forensic Detection 8
- Advanced Neural Network Applications 7
- Multimodal Machine Learning Applications 5
- Advanced Image and Video Retrieval Techniques 5
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- Domain Adaptation and Few-Shot Learning 6
- Adversarial Robustness in Machine Learning 5
- Co-authors
- Mao Ye (26 shared papers)Yusheng Huang (1 shared paper)Zheng Zhang (2 shared papers)Tao Li (1 shared paper)Lin Xiong (3 shared papers)Jian Zhou (1 shared paper)Honglang Li (1 shared paper)Qian Yang (5 shared papers)
- Journals
- Neurocomputing (7 papers)Knowledge-Based Systems (2 papers)IEEE Internet of Things Journal (2 papers)International Journal of Intelligent Systems (2 papers)Neural Computing and Applications (2 papers)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Yan Gan
37 papers receiving 427 citations
Yan Gan's Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 188
- Management Science and Operations Research 48
- Media Technology 33
- Artificial Intelligence 115
- Polymers and Plastics 38
Countries citing papers authored by Yan Gan
This map shows the geographic impact of Yan 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 Yan Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Gan more than expected).
Fields of papers citing papers by Yan Gan
This network shows the impact of papers produced by Yan 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 Yan Gan. The network helps show where Yan Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 87 | |
| 2 | 2020 | 78 | |
| 3 | 2022 | 51 | |
| 4 | 2021 | 23 | |
| 5 | 2019 | 21 | |
| 6 | 2021 | 19 | |
| 7 | A chain mediation model of physical exercise and BrainRot behavior among adolescents Hit paper breakdown → | 2025 | 13 |
| 8 | 2023 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2024 | 10 | |
| 11 | 2018 | 10 | |
| 12 | 2018 | 10 | |
| 13 | 2024 | 8 | |
| 14 | 2024 | 8 | |
| 15 | 2023 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2018 | 5 |
About Yan Gan
Yan Gan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Sociology and Political Science, Media Technology and Biomedical Engineering, having authored 47 papers that have together received 437 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (15 papers), Advanced Image Processing Techniques (10 papers), Digital Media Forensic Detection (8 papers), Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers), Adversarial Robustness in Machine Learning (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (188 citations), Management Science and Operations Research (48 citations), Media Technology (33 citations), Artificial Intelligence (115 citations) and Polymers and Plastics (38 citations). Yan Gan has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Mao Ye, Yusheng Huang, Zheng Zhang, Tao Li, Lin Xiong, Jian Zhou, Honglang Li, Qian Yang, Yongqing Fu and Yangmei Luo. Their work appears in journals such as Neurocomputing, Knowledge-Based Systems, IEEE Internet of Things Journal, International Journal of Intelligent Systems and Neural Computing and Applications.
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.