Feifei Lee
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Face recognition and analysis
- Artificial Intelligence top 10%
- Machine Learning and Data Classification
Papers in
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- Face and Expression Recognition 24
- Advanced Image and Video Retrieval Techniques 16
- Image Retrieval and Classification Techniques 10
- Advanced Neural Network Applications 9
- Video Analysis and Summarization 9
- Face recognition and analysis 5
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- Machine Learning and Data Classification 5
- Co-authors
- Qiu Chen (63 shared papers)Koji Kotani (39 shared papers)Li Liu (4 shared papers)Chen Qiu (5 shared papers)Hongliu Yu (2 shared papers)Tadahiro Ohmi (31 shared papers)Yagang Wang (7 shared papers)Zhong Yin (2 shared papers)
In The Last Decade
Feifei Lee
60 papers receiving 666 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 470
- Artificial Intelligence 119
- Media Technology 28
- Radiology, Nuclear Medicine and Imaging 42
- Health Informatics 4
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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 85 | |
| 2 | 2020 | 82 | |
| 3 | 2020 | 56 | |
| 4 | 2020 | 42 | |
| 5 | 2018 | 38 | |
| 6 | 2019 | 29 | |
| 7 | 2023 | 26 | |
| 8 | 2021 | 22 | |
| 9 | 2022 | 22 | |
| 10 | 2023 | 21 | |
| 11 | 2019 | 18 | |
| 12 | 2020 | 18 | |
| 13 | 2020 | 17 | |
| 14 | 2021 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2021 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2018 | 11 | |
| 20 | 2020 | 11 |
About Feifei Lee
Feifei Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Control and Systems Engineering and Radiology, Nuclear Medicine and Imaging, having authored 73 papers that have together received 711 indexed citations. Recurring topics across this work include Face and Expression Recognition (24 papers), Advanced Image and Video Retrieval Techniques (16 papers), Image Retrieval and Classification Techniques (10 papers), Advanced Neural Network Applications (9 papers), Video Analysis and Summarization (9 papers), Machine Learning and Data Classification (5 papers), Face recognition and analysis (5 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (470 citations), Artificial Intelligence (119 citations), Media Technology (28 citations), Radiology, Nuclear Medicine and Imaging (42 citations) and Health Informatics (4 citations). Feifei Lee has collaborated with scholars based in Japan and China. Frequent co-authors include Qiu Chen, Koji Kotani, Li Liu, Chen Qiu, Hongliu Yu, Tadahiro Ohmi, Yagang Wang, Zhong Yin, Qian Zhang and Lu Chen. Their work appears in journals such as IEEE Access, Computer Modeling in Engineering & Sciences, Journal of Visual Communication and Image Representation, Information Sciences and Applied Soft Computing.
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.