Yan Ke
Impact in
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Signal Processing top 10%
Papers in
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- Digital Media Forensic Detection 3
- Advanced Steganography and Watermarking Techniques 2
- Human Pose and Action Recognition 2
- Advanced Image and Video Retrieval Techniques 2
- Video Analysis and Summarization 2
- Video Surveillance and Tracking Methods 1
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- Anomaly Detection Techniques and Applications 2
- Co-authors
- Rahul Sukthankar (4 shared papers)Larry Huston (1 shared paper)Martial Hebert (2 shared papers)Derek Hoiem (1 shared paper)Minqing Zhang (2 shared papers)Marcin Grzegorzek (2 shared papers)John See (2 shared papers)Cong Yang (2 shared papers)
- Journals
- International Journal of Computer Vision (2 papers)Multimedia Tools and Applications (1 paper)IEEE Transactions on Image Processing (1 paper)Computing and Informatics (1 paper)Figshare (1 paper)
- Partner nations
- United StatesChinaPoland
In The Last Decade
Yan Ke
9 papers receiving 446 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 435
- Signal Processing 53
- Human-Computer Interaction 27
- Artificial Intelligence 122
- Media Technology 21
Countries citing papers authored by Yan Ke
This map shows the geographic impact of Yan Ke'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 Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ke more than expected).
Fields of papers citing papers by Yan Ke
This network shows the impact of papers produced by Yan Ke. 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 Ke. The network helps show where Yan Ke may publish in the future.
Co-authors
The 14 scholars most cited alongside Yan Ke, 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 | 2004 | 244 | |
| 2 | 2007 | 120 | |
| 3 | 2009 | 43 | |
| 4 | 2006 | 26 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 12 | |
| 7 | 2004 | 7 | |
| 8 | 2023 | 2 | |
| 9 | 2024 | 1 |
About Yan Ke
Yan Ke is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Space and Planetary Science and Signal Processing, having authored 9 papers that have together received 467 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (3 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Steganography and Watermarking Techniques (2 papers), Human Pose and Action Recognition (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Video Analysis and Summarization (2 papers), Speech and Audio Processing (1 paper) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (435 citations), Signal Processing (53 citations), Human-Computer Interaction (27 citations), Artificial Intelligence (122 citations) and Media Technology (21 citations). Yan Ke has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Rahul Sukthankar, Larry Huston, Martial Hebert, Derek Hoiem, Minqing Zhang, Marcin Grzegorzek, John See, Cong Yang, Zhenyu Yang and Tao Chen. Their work appears in journals such as International Journal of Computer Vision, Multimedia Tools and Applications, IEEE Transactions on Image Processing, Computing and Informatics and Figshare.
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.