Chunfeng Song
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Media Technology top 5%
- Environmental Engineering
- Co-authors
- Yan HuangLiang WangWanli OuyangZhaoxiang ZhangTieniu TanJunsong FanYongzhen HuangZhenyu Wang
- Topics
- Video Surveillance and Tracking Methods (10 papers)Human Pose and Action Recognition (10 papers)Domain Adaptation and Few-Shot Learning (7 papers)
- Journals
- Renewable and Sustainable Energy ReviewsIEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Cleaner Production
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Chunfeng Song
41 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 441
- Biomedical Engineering 437
- Media Technology 71
- Environmental Engineering 62
Countries citing papers authored by Chunfeng Song
This map shows the geographic impact of Chunfeng Song'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 Chunfeng Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunfeng Song more than expected).
Fields of papers citing papers by Chunfeng Song
This network shows the impact of papers produced by Chunfeng Song. 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 Chunfeng Song. The network helps show where Chunfeng Song may publish in the future.
Co-authorship network of co-authors of Chunfeng Song
This figure shows the co-authorship network connecting the top 25 collaborators of Chunfeng Song. A scholar is included among the top collaborators of Chunfeng Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chunfeng Song. Chunfeng Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 5 | |
| 11 | 13 | |
| 12 | 4 | |
| 13 | 73 | |
| 14 | 138 | |
| 15 | 17 | |
| 16 | 11 | |
| 17 | Research on Medical Image Encryption Method Based on Uniform Scrambling and Chaotic Mapping Based on Swarm Intelligence | 1 |
| 18 | 158 | |
| 19 | 38 | |
| 20 | Mask-Guided Contrastive Attention Model for Person Re-identificationbreakdown → | 470 |
About Chunfeng Song
Chunfeng Song is a scholar working on Computer Vision and Pattern Recognition, Analytical Chemistry and Human-Computer Interaction, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (10 papers), Human Pose and Action Recognition (10 papers) and Domain Adaptation and Few-Shot Learning (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (441 citations) and Human-Computer Interaction (62 citations). Chunfeng Song has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Yan Huang, Liang Wang, Wanli Ouyang, Zhaoxiang Zhang, Tieniu Tan, Junsong Fan, Yongzhen Huang, Zhenyu Wang, Liang Wang and Wenkai Dong. Their work appears in journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Cleaner Production.
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.