Qi Feng
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- Image and Video Quality Assessment 7
- Visual Attention and Saliency Detection 6
- Video Surveillance and Tracking Methods 6
- Advanced Image and Video Retrieval Techniques 6
- Human Pose and Action Recognition 5
- Advanced Image Processing Techniques 4
- Media Technology top 5%
- Advanced Image Fusion Techniques 6
- Artificial Intelligence top 10%
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- Visual perception and processing mechanisms 2
- Co-authors
- Debin ZhaoChenqiang GaoStan SclaroffQinxun BaiVitaly AblavskyWen GaoYue ZhaoTiecheng Song
- Journals
- IEEE Transactions on Intelligent Transportation Systems (1 paper)Pattern Recognition Letters (1 paper)IEEE Transactions on Multimedia (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Qi Feng
21 papers receiving 463 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 389
- Media Technology 96
- Human-Computer Interaction 19
- Artificial Intelligence 95
- Safety, Risk, Reliability and Quality 23
Countries citing papers authored by Qi Feng
This map shows the geographic impact of Qi Feng'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 Qi Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Feng more than expected).
Fields of papers citing papers by Qi Feng
This network shows the impact of papers produced by Qi Feng. 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 Qi Feng. The network helps show where Qi Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qi Feng, 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 | 2023 | 14 | |
| 2 | 2021 | 58 | |
| 3 | 2020 | 31 | |
| 4 | 2020 | 48 | |
| 5 | 2020 | 8 | |
| 6 | 2019 | 19 | |
| 7 | 2019 | 9 | |
| 8 | 2018 | 21 | |
| 9 | 2018 | 87 | |
| 10 | 2017 | 9 | |
| 11 | 2017 | 6 | |
| 12 | 2017 | 3 | |
| 13 | 2016 | 22 | |
| 14 | 2016 | 3 | |
| 15 | 2015 | 5 | |
| 16 | 2015 | 35 | |
| 17 | 2015 | 53 | |
| 18 | 2013 | 13 | |
| 19 | 2013 | 7 | |
| 20 | 2012 | 11 |
About Qi Feng
Qi Feng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Health Informatics, having authored 21 papers that have together received 473 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (7 papers), Advanced Image Fusion Techniques (6 papers), Visual Attention and Saliency Detection (6 papers), Video Surveillance and Tracking Methods (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Human Pose and Action Recognition (5 papers), Advanced Image Processing Techniques (4 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (389 citations), Media Technology (96 citations) and Human-Computer Interaction (19 citations). Qi Feng has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Debin Zhao, Chenqiang Gao, Stan Sclaroff, Qinxun Bai, Vitaly Ablavsky, Wen Gao, Yue Zhao, Tiecheng Song, Lan Wang and Tingting Jiang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Pattern Recognition Letters and IEEE Transactions on Multimedia.
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.