Fei Long
Impact in
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- Face and Expression Recognition
- Digital Imaging for Blood Diseases
- Face recognition and analysis
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
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- Emotion and Mood Recognition
Papers in
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- Face and Expression Recognition 13
- Advanced Image and Video Retrieval Techniques 7
- Image Retrieval and Classification Techniques 3
- Co-authors
- Marian Stewart Bartlett (2 shared papers)Kai Zhou (1 shared paper)Jun Sang (1 shared paper)Xiaobo Xia (1 shared paper)Weitao Song (1 shared paper)Jing-Jie Peng (1 shared paper)Javier R. Movellan (1 shared paper)Tingfan Wu (1 shared paper)
- Journals
- Neurocomputing (2 papers)IEEE Access (2 papers)Wireless Communications and Mobile Computing (1 paper)Multimedia Tools and Applications (1 paper)Sustainability (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fei Long
37 papers receiving 241 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 162
- Experimental and Cognitive Psychology 55
- Human-Computer Interaction 17
- Media Technology 21
- Urban Studies 14
Countries citing papers authored by Fei Long
This map shows the geographic impact of Fei Long'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 Fei Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Long more than expected).
Fields of papers citing papers by Fei Long
This network shows the impact of papers produced by Fei Long. 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 Fei Long. The network helps show where Fei Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Long, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 43 | |
| 2 | 2012 | 36 | |
| 3 | 2018 | 27 | |
| 4 | 2017 | 24 | |
| 5 | 2015 | 17 | |
| 6 | 2018 | 15 | |
| 7 | 2020 | 15 | |
| 8 | 2022 | 10 | |
| 9 | A Novel Eye Localization Method Based on Log-Gabor Transform and Integral Image | 2012 | 6 |
| 10 | 2006 | 5 | |
| 11 | 2019 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2012 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2014 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2023 | 2 |
About Fei Long
Fei Long is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Human-Computer Interaction and Cognitive Neuroscience, having authored 37 papers that have together received 254 indexed citations. Recurring topics across this work include Face and Expression Recognition (13 papers), Advanced Image and Video Retrieval Techniques (7 papers), Blind Source Separation Techniques (6 papers), Gaze Tracking and Assistive Technology (5 papers), Emotion and Mood Recognition (4 papers), EEG and Brain-Computer Interfaces (3 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (162 citations), Experimental and Cognitive Psychology (55 citations), Human-Computer Interaction (17 citations), Media Technology (21 citations) and Urban Studies (14 citations). Fei Long has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Marian Stewart Bartlett, Kai Zhou, Jun Sang, Xiaobo Xia, Weitao Song, Jing-Jie Peng, Javier R. Movellan, Tingfan Wu, Gwen Littlewort and Weihua Ou. Their work appears in journals such as Neurocomputing, IEEE Access, Wireless Communications and Mobile Computing, Multimedia Tools and Applications and Sustainability.
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.