Xiaofeng Qu
Impact in
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- Biosensors and Analytical Detection
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- Effects and risks of endocrine disrupting chemicals
Papers in
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- Face recognition and analysis 8
- Video Surveillance and Tracking Methods 7
- Face and Expression Recognition 4
- Image Enhancement Techniques 2
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- Biometric Identification and Security 7
- Co-authors
- Li Li (6 shared papers)Juan Wang (6 shared papers)Xiuling Song (6 shared papers)Kun Xu (6 shared papers)Dandan Song (3 shared papers)Juan Li (3 shared papers)Chao Zhao (3 shared papers)Hao Bao (3 shared papers)
In The Last Decade
Xiaofeng Qu
30 papers receiving 489 citations
Peers
Comparison fields: 5 of 89
- Biomedical Engineering 193
- Health, Toxicology and Mutagenesis 56
- Endocrinology 20
- Signal Processing 37
- Computer Vision and Pattern Recognition 69
Countries citing papers authored by Xiaofeng Qu
This map shows the geographic impact of Xiaofeng Qu'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 Xiaofeng Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng Qu more than expected).
Fields of papers citing papers by Xiaofeng Qu
This network shows the impact of papers produced by Xiaofeng Qu. 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 Xiaofeng Qu. The network helps show where Xiaofeng Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofeng Qu, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 194 | |
| 2 | 2014 | 73 | |
| 3 | 2016 | 42 | |
| 4 | 2017 | 33 | |
| 5 | 2012 | 16 | |
| 6 | 2016 | 15 | |
| 7 | 2023 | 15 | |
| 8 | 2019 | 13 | |
| 9 | 2014 | 13 | |
| 10 | 2017 | 10 | |
| 11 | 2016 | 9 | |
| 12 | 2016 | 9 | |
| 13 | 2024 | 7 | |
| 14 | 2006 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2017 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 3 |
About Xiaofeng Qu
Xiaofeng Qu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Radiology, Nuclear Medicine and Imaging, Small Animals and Biomedical Engineering, having authored 36 papers that have together received 498 indexed citations. Recurring topics across this work include Face recognition and analysis (8 papers), Biometric Identification and Security (7 papers), Video Surveillance and Tracking Methods (7 papers), Face and Expression Recognition (4 papers), Gait Recognition and Analysis (3 papers), Cardiovascular Function and Risk Factors (2 papers), Image Enhancement Techniques (2 papers) and Polyoxometalates: Synthesis and Applications (2 papers). The work is most often cited by research in Biomedical Engineering (193 citations), Health, Toxicology and Mutagenesis (56 citations), Endocrinology (20 citations), Signal Processing (37 citations) and Computer Vision and Pattern Recognition (69 citations). Xiaofeng Qu has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Li Li, Juan Wang, Xiuling Song, Kun Xu, Dandan Song, Juan Li, Chao Zhao, Hao Bao, Xiangjun Meng and Yu-Shen Liu. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Multimedia, PLoS ONE, Nanoscale Research Letters and Knowledge-Based Systems.
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.