Gan Sun
-
- Multimodal Machine Learning Applications 13
- Human Pose and Action Recognition 11
- Video Surveillance and Tracking Methods 9
- Advanced Neural Network Applications 9
- Face recognition and analysis 6
- Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning 24
- Media Technology top 5%
- Signal Processing top 10%
- Human-Computer Interaction top 10%
-
- Robotics and Sensor-Based Localization 8
-
- Sparse and Compressive Sensing Techniques 6
- Co-authors
- Yang CongJiahua DongZhengming DingQiang WangXiaowei XuBineng ZhongZhen FangYun Fu
- Journals
- IEEE Transactions on Image Processing (9 papers)IEEE Transactions on Circuits and Systems for Video Technology (6 papers)IEEE Transactions on Neural Networks and Learning Systems (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Gan Sun
66 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 892
- Artificial Intelligence 925
- Media Technology 119
- Signal Processing 101
- Human-Computer Interaction 38
Countries citing papers authored by Gan Sun
This map shows the geographic impact of Gan Sun'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 Gan Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gan Sun more than expected).
Fields of papers citing papers by Gan Sun
This network shows the impact of papers produced by Gan Sun. 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 Gan Sun. The network helps show where Gan Sun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gan Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 38 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 23 | |
| 11 | 2021 | 17 | |
| 12 | 2020 | 30 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 37 | |
| 15 | 2019 | 31 | |
| 16 | 2019 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2017 | 33 | |
| 19 | 2017 | 10 | |
| 20 | Prediction of mine pressure monitoring data based on support vector machine | 2013 | 1 |
About Gan Sun
Gan Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Health Informatics, Medical Laboratory Technology and Human-Computer Interaction, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (24 papers), Multimodal Machine Learning Applications (13 papers), Human Pose and Action Recognition (11 papers), Video Surveillance and Tracking Methods (9 papers), Advanced Neural Network Applications (9 papers), Robotics and Sensor-Based Localization (8 papers), Sparse and Compressive Sensing Techniques (6 papers) and Face recognition and analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (892 citations), Artificial Intelligence (925 citations), Media Technology (119 citations), Signal Processing (101 citations) and Human-Computer Interaction (38 citations). Gan Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yang Cong, Jiahua Dong, Zhengming Ding, Qiang Wang, Xiaowei Xu, Bineng Zhong, Zhen Fang, Yun Fu, Ji Liu and Yulun Zhang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.
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.