Junfeng He
Impact in
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- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Digital Media Forensic Detection
- Multimodal Machine Learning Applications
- Face and Expression Recognition
- Advanced Steganography and Watermarking Techniques
- Video Analysis and Summarization
- Media Technology top 1%
Papers in
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- Advanced Image and Video Retrieval Techniques 16
- Image Retrieval and Classification Techniques 12
- Video Surveillance and Tracking Methods 8
- Visual Attention and Saliency Detection 5
- Video Analysis and Summarization 5
- Multimodal Machine Learning Applications 4
- Advanced Image Processing Techniques 3
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- Gaze Tracking and Assistive Technology 4
Junfeng He
30 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 1.8k
- Media Technology 300
- Human-Computer Interaction 136
- Artificial Intelligence 419
- Urban Studies 58
Countries citing papers authored by Junfeng He
This map shows the geographic impact of Junfeng He'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 Junfeng He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfeng He more than expected).
Fields of papers citing papers by Junfeng He
This network shows the impact of papers produced by Junfeng He. 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 Junfeng He. The network helps show where Junfeng He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junfeng He, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 11 | |
| 7 | 2024 | 18 | |
| 8 | 2023 | 3 | |
| 9 | 2020 | 133 | |
| 10 | 2014 | 99 | |
| 11 | 2013 | 73 | |
| 12 | 2013 | 78 | |
| 13 | 2012 | 25 | |
| 14 | 2012 | 266 | |
| 15 | 2012 | 130 | |
| 16 | 2011 | 86 | |
| 17 | 2011 | 16 | |
| 18 | Columbia University/VIREO-CityU/IRIT TRECVID2008 High-Level Feature Extraction and Interactive Video Search | 2008 | 51 |
| 19 | 2008 | 33 | |
| 20 | 2006 | 7 |
About Junfeng He
Junfeng He is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Media Technology, Sensory Systems and Urban Studies, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (16 papers), Image Retrieval and Classification Techniques (12 papers), Video Surveillance and Tracking Methods (8 papers), Visual Attention and Saliency Detection (5 papers), Video Analysis and Summarization (5 papers), Gaze Tracking and Assistive Technology (4 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Image Processing Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Media Technology (300 citations), Human-Computer Interaction (136 citations), Artificial Intelligence (419 citations) and Urban Studies (58 citations). Junfeng He has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Shih‐Fu Chang, Wei Liu, Xianglong Liu, Bo Lang, Zhouchen Lin, Chi–Keung Tang, Xiaoou Tang, Jae‐Pil Heo, Sung‐Eui Yoon and Youngwoon Lee. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, Autism Research, Nature Communications and IEEE Transactions on Image Processing.
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.