Chao Lan
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Image Retrieval and Classification Techniques
Papers in
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- Machine Learning and Data Classification 5
- Machine Learning and Algorithms 5
- Domain Adaptation and Few-Shot Learning 4
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- Face and Expression Recognition 18
- Face recognition and analysis 5
- Co-authors
- Xiao‐Yuan Jing (15 shared papers)David Zhang (8 shared papers)Sheng Li (5 shared papers)Jun Huan (7 shared papers)Jingyu Yang (6 shared papers)Zhen Wang (4 shared papers)Fei Wu (3 shared papers)Yimu Ji (3 shared papers)
- Journals
- Information Sciences (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Pattern Recognition (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)IEEE Transactions on Computational Social Systems (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chao Lan
39 papers receiving 317 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 148
- Computational Mathematics 4
- Signal Processing 72
- Media Technology 44
- Artificial Intelligence 151
Countries citing papers authored by Chao Lan
This map shows the geographic impact of Chao Lan'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 Chao Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Lan more than expected).
Fields of papers citing papers by Chao Lan
This network shows the impact of papers produced by Chao Lan. 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 Chao Lan. The network helps show where Chao Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao Lan, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 48 | |
| 2 | 2011 | 36 | |
| 3 | 2014 | 23 | |
| 4 | 2019 | 21 | |
| 5 | 2017 | 16 | |
| 6 | 2010 | 15 | |
| 7 | 2012 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2019 | 12 | |
| 10 | 2011 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2010 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2011 | 8 | |
| 17 | 2012 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2015 | 5 |
About Chao Lan
Chao Lan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Computational Mechanics, having authored 43 papers that have together received 325 indexed citations. Recurring topics across this work include Face and Expression Recognition (18 papers), Biometric Identification and Security (8 papers), Machine Learning and Data Classification (5 papers), Machine Learning and Algorithms (5 papers), Face recognition and analysis (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Ethics and Social Impacts of AI (4 papers) and Sparse and Compressive Sensing Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (148 citations), Computational Mathematics (4 citations), Signal Processing (72 citations), Media Technology (44 citations) and Artificial Intelligence (151 citations). Chao Lan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiao‐Yuan Jing, David Zhang, Sheng Li, Jun Huan, Jingyu Yang, Zhen Wang, Fei Wu, Yimu Ji, Qinghua Huang and Bo Luo. Their work appears in journals such as Information Sciences, Engineering Applications of Artificial Intelligence, Pattern Recognition, IEEE/ACM Transactions on Computational Biology and Bioinformatics and IEEE Transactions on Computational Social 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.