Cong Lei
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
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- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
Papers in
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- Face and Expression Recognition 10
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- Machine Learning and ELM 3
- Neural Networks and Applications 2
- Co-authors
- Rongyao Hu (6 shared papers)Xiaofeng Zhu (4 shared papers)Shichao Zhang (6 shared papers)Wei He (1 shared paper)Pengfei Zhu (1 shared paper)Wei Zheng (3 shared papers)Guoli Wang (3 shared papers)Yonghua Zhu (1 shared paper)
- Journals
- Pattern Recognition Letters (2 papers)Multimedia Tools and Applications (2 papers)Journal of Visualized Experiments (2 papers)Proceedings of the National Academy of Sciences (1 paper)World Wide Web (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Cong Lei
21 papers receiving 617 citations
Peers
Comparison fields: 5 of 98
- Biological Psychiatry 62
- Computer Vision and Pattern Recognition 285
- Computational Mathematics 6
- Behavioral Neuroscience 36
- Urban Studies 57
Countries citing papers authored by Cong Lei
This map shows the geographic impact of Cong Lei'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 Cong Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Lei more than expected).
Fields of papers citing papers by Cong Lei
This network shows the impact of papers produced by Cong Lei. 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 Cong Lei. The network helps show where Cong Lei may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Lei, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 214 | |
| 2 | 2017 | 77 | |
| 3 | 2021 | 58 | |
| 4 | 2019 | 44 | |
| 5 | 2020 | 44 | |
| 6 | 2012 | 30 | |
| 7 | 2018 | 30 | |
| 8 | 2008 | 21 | |
| 9 | 2017 | 18 | |
| 10 | 2009 | 16 | |
| 11 | 2018 | 14 | |
| 12 | 2007 | 12 | |
| 13 | 2009 | 11 | |
| 14 | 2018 | 11 | |
| 15 | 2017 | 10 | |
| 16 | 2017 | 4 | |
| 17 | 2012 | 3 | |
| 18 | 2007 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2017 | 1 |
About Cong Lei
Cong Lei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Genetics and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 623 indexed citations. Recurring topics across this work include Face and Expression Recognition (10 papers), Machine Learning and ELM (3 papers), Neuroblastoma Research and Treatments (2 papers), Advanced Algorithms and Applications (2 papers), Neural Networks and Applications (2 papers), Genetic Associations and Epidemiology (2 papers), Remote-Sensing Image Classification (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). The work is most often cited by research in Biological Psychiatry (62 citations), Computer Vision and Pattern Recognition (285 citations), Computational Mathematics (6 citations), Behavioral Neuroscience (36 citations) and Urban Studies (57 citations). Cong Lei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Rongyao Hu, Xiaofeng Zhu, Shichao Zhang, Wei He, Pengfei Zhu, Wei Zheng, Guoli Wang, Yonghua Zhu, Li Yang and Ronghua Zhang. Their work appears in journals such as Pattern Recognition Letters, Multimedia Tools and Applications, Journal of Visualized Experiments, Proceedings of the National Academy of Sciences and World Wide Web.
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.