Feifei Lee
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
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- Advanced Image and Video Retrieval Techniques 27
- Image Retrieval and Classification Techniques 20
- Face and Expression Recognition 18
- Advanced Neural Network Applications 17
- Video Analysis and Summarization 6
- Image and Video Stabilization 5
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- Machine Learning and Data Classification 6
- Co-authors
- Qiu Chen (60 shared papers)Koji Kotani (37 shared papers)Li Liu (4 shared papers)Chen Qiu (7 shared papers)Hongliu Yu (2 shared papers)Tadahiro Ohmi (29 shared papers)Zhong Yin (2 shared papers)Yagang Wang (7 shared papers)
In The Last Decade
Feifei Lee
57 papers receiving 577 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 399
- Media Technology 72
- Artificial Intelligence 174
- Neurology 25
- Human-Computer Interaction 16
Countries citing papers authored by Feifei Lee
This map shows the geographic impact of Feifei Lee'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 Feifei Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Lee more than expected).
Fields of papers citing papers by Feifei Lee
This network shows the impact of papers produced by Feifei Lee. 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 Feifei Lee. The network helps show where Feifei Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 70 | |
| 2 | 2022 | 69 | |
| 3 | 2020 | 50 | |
| 4 | 2018 | 38 | |
| 5 | 2020 | 37 | |
| 6 | 2019 | 29 | |
| 7 | 2021 | 21 | |
| 8 | 2022 | 20 | |
| 9 | 2023 | 18 | |
| 10 | 2023 | 17 | |
| 11 | 2019 | 17 | |
| 12 | 2021 | 15 | |
| 13 | 2020 | 15 | |
| 14 | 2021 | 15 | |
| 15 | 2020 | 15 | |
| 16 | 2021 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2018 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2020 | 10 |
About Feifei Lee
Feifei Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing and Control and Systems Engineering, having authored 70 papers that have together received 619 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (27 papers), Image Retrieval and Classification Techniques (20 papers), Face and Expression Recognition (18 papers), Advanced Neural Network Applications (17 papers), Image Processing Techniques and Applications (8 papers), Machine Learning and Data Classification (6 papers), Video Analysis and Summarization (6 papers) and Image and Video Stabilization (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (399 citations), Media Technology (72 citations), Artificial Intelligence (174 citations), Neurology (25 citations) and Human-Computer Interaction (16 citations). Feifei Lee has collaborated with scholars based in Japan, China and France. Frequent co-authors include Qiu Chen, Koji Kotani, Li Liu, Chen Qiu, Hongliu Yu, Tadahiro Ohmi, Zhong Yin, Yagang Wang, Qian Zhang and Sheng Huang. Their work appears in journals such as IEEE Access, Information Sciences, Computer Modeling in Engineering & Sciences, Journal of Visual Communication and Image Representation and Pattern Recognition.
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.