Xiaofei Zhang
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
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- Pain Mechanisms and Treatments
Papers in
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- Adaptive Control of Nonlinear Systems 6
- Advanced Algorithms and Applications 4
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- Machine Learning and ELM 4
- Co-authors
- Dao‐Qing Dai (3 shared papers)Xiaoxin Li (2 shared papers)Chuan-Xian Ren (1 shared paper)Qianqian Zhou (1 shared paper)Yoshimitsu Oda (1 shared paper)He‐Ping Li (1 shared paper)Chong Zhang (1 shared paper)Xin‐Hui Xing (1 shared paper)
- Journals
- IEEE Access (2 papers)Scientific Data (2 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)Applied Soft Computing (2 papers)Neuroreport (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaofei Zhang
56 papers receiving 621 citations
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 125
- Physiology 20
- Neurology 33
- Signal Processing 39
- Developmental Neuroscience 13
Countries citing papers authored by Xiaofei Zhang
This map shows the geographic impact of Xiaofei Zhang'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 Xiaofei Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofei Zhang more than expected).
Fields of papers citing papers by Xiaofei Zhang
This network shows the impact of papers produced by Xiaofei Zhang. 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 Xiaofei Zhang. The network helps show where Xiaofei Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofei Zhang, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 121 | |
| 2 | 2013 | 98 | |
| 3 | 2010 | 74 | |
| 4 | 2017 | 27 | |
| 5 | 2020 | 26 | |
| 6 | 2016 | 24 | |
| 7 | 2012 | 23 | |
| 8 | 2023 | 16 | |
| 9 | 2020 | 14 | |
| 10 | 2017 | 13 | |
| 11 | 2008 | 13 | |
| 12 | 2012 | 12 | |
| 13 | 2025 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2019 | 7 |
About Xiaofei Zhang
Xiaofei Zhang is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications, Cognitive Neuroscience and Computational Theory and Mathematics, having authored 58 papers that have together received 637 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (6 papers), EEG and Brain-Computer Interfaces (5 papers), Human-Automation Interaction and Safety (4 papers), Advanced Algorithms and Applications (4 papers), Machine Learning and ELM (4 papers), Adaptive Dynamic Programming Control (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Direction-of-Arrival Estimation Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (125 citations), Physiology (20 citations), Neurology (33 citations), Signal Processing (39 citations) and Developmental Neuroscience (13 citations). Xiaofei Zhang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dao‐Qing Dai, Xiaoxin Li, Chuan-Xian Ren, Qianqian Zhou, Yoshimitsu Oda, He‐Ping Li, Chong Zhang, Xin‐Hui Xing, Xue Zhang and Liyan Wang. Their work appears in journals such as IEEE Access, Scientific Data, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Applied Soft Computing and Neuroreport.
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.