Chunjiang Ge
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
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- Domain Adaptation and Few-Shot Learning 3
- Reinforcement Learning in Robotics 1
- Topic Modeling 1
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- Multimodal Machine Learning Applications 2
- Human Pose and Action Recognition 1
- Video Analysis and Summarization 1
- Co-authors
- Gao Huang (7 shared papers)Shiji Song (4 shared papers)Xuran Pan (1 shared paper)Rui Lü (1 shared paper)Guan-Fu Chen (1 shared paper)Zeyi Huang (1 shared paper)Zihang Lai (1 shared paper)Shuang Li (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (1 paper)Science China Information Sciences (1 paper)Pattern Recognition (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chunjiang Ge
7 papers receiving 492 citations
Chunjiang Ge's Hit Papers
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 266
- Media Technology 63
- Artificial Intelligence 164
- Signal Processing 26
- Industrial and Manufacturing Engineering 20
Countries citing papers authored by Chunjiang Ge
This map shows the geographic impact of Chunjiang Ge'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 Chunjiang Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunjiang Ge more than expected).
Fields of papers citing papers by Chunjiang Ge
This network shows the impact of papers produced by Chunjiang Ge. 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 Chunjiang Ge. The network helps show where Chunjiang Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunjiang Ge, 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 | On the Integration of Self-Attention and Convolution Hit paper breakdown → | 2022 | 349 |
| 2 | 2023 | 100 | |
| 3 | 2021 | 17 | |
| 4 | 2023 | 15 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 3 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 |
About Chunjiang Ge
Chunjiang Ge is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Automotive Engineering and Health, Toxicology and Mutagenesis, having authored 9 papers that have together received 502 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Model Reduction and Neural Networks (2 papers), Multimodal Machine Learning Applications (2 papers), Vehicle emissions and performance (1 paper), Reinforcement Learning in Robotics (1 paper), Topic Modeling (1 paper), Human Pose and Action Recognition (1 paper) and Video Analysis and Summarization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (266 citations), Media Technology (63 citations), Artificial Intelligence (164 citations), Signal Processing (26 citations) and Industrial and Manufacturing Engineering (20 citations). Chunjiang Ge has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gao Huang, Shiji Song, Xuran Pan, Rui Lü, Guan-Fu Chen, Zeyi Huang, Zihang Lai, Shuang Li, Shiji Song and Le Yang. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Science China Information Sciences, Pattern Recognition, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.