Chunfeng Song
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- Video Surveillance and Tracking Methods 10
- Human Pose and Action Recognition 10
- Advanced Neural Network Applications 6
- Multimodal Machine Learning Applications 5
- Face recognition and analysis 4
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning 7
- Human-Computer Interaction top 5%
- Biomedical Engineering top 10%
- Gait Recognition and Analysis 5
- Media Technology top 5%
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- Spectroscopy and Chemometric Analyses 5
- Co-authors
- Yan HuangLiang WangWanli OuyangZhaoxiang ZhangTieniu TanJunsong FanYongzhen HuangZhenyu Wang
- Journals
- Renewable and Sustainable Energy Reviews (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Journal of Cleaner Production (1 paper)
- 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
- Human-Computer Interaction 62
- Biomedical Engineering 437
- Media Technology 71
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
The 25 scholars most cited alongside Chunfeng Song, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 73 | |
| 14 | 2020 | 138 | |
| 15 | 2020 | 17 | |
| 16 | 2020 | 11 | |
| 17 | Research on Medical Image Encryption Method Based on Uniform Scrambling and Chaotic Mapping Based on Swarm Intelligence | 2019 | 1 |
| 18 | 2019 | 158 | |
| 19 | 2019 | 38 | |
| 20 | Mask-Guided Contrastive Attention Model for Person Re-identificationbreakdown → | 2018 | 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), Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (6 papers), Multimodal Machine Learning Applications (5 papers), Gait Recognition and Analysis (5 papers), Spectroscopy and Chemometric Analyses (5 papers) and Face recognition and analysis (4 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.