Chaochao Lu
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Image Processing Techniques
- Generative Adversarial Networks and Image Synthesis
- Advanced Image and Video Retrieval Techniques
- Signal Processing top 10%
- Biometric Identification and Security
Papers in
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- Face and Expression Recognition 2
- Face recognition and analysis 2
- Advanced Image and Video Retrieval Techniques 1
- Video Surveillance and Tracking Methods 1
- Multimodal Machine Learning Applications 1
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- Privacy-Preserving Technologies in Data 1
- Co-authors
- Xiaoou Tang (2 shared papers)Michael Hirsch (1 shared paper)Bernhard Schölkopf (1 shared paper)Linlin Wang (1 shared paper)Feifei Qiu (1 shared paper)Jiezhen Liang (1 shared paper)Deli Zhao (1 shared paper)Xiaojie Wei (1 shared paper)
- Journals
- RSC Advances (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (3 papers)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Chaochao Lu
7 papers receiving 239 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 182
- Signal Processing 70
- Computational Mathematics 1
- Artificial Intelligence 51
- Human-Computer Interaction 4
Countries citing papers authored by Chaochao Lu
This map shows the geographic impact of Chaochao Lu'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 Chaochao Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaochao Lu more than expected).
Fields of papers citing papers by Chaochao Lu
This network shows the impact of papers produced by Chaochao Lu. 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 Chaochao Lu. The network helps show where Chaochao Lu may publish in the future.
Co-authors
The 23 scholars most cited alongside Chaochao Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 168 | |
| 2 | 2017 | 52 | |
| 3 | 2016 | 12 | |
| 4 | 2013 | 6 | |
| 5 | 2023 | 4 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 1 |
About Chaochao Lu
Chaochao Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Biomedical Engineering and Infectious Diseases, having authored 7 papers that have together received 244 indexed citations. Recurring topics across this work include Face and Expression Recognition (2 papers), Face recognition and analysis (2 papers), Privacy-Preserving Technologies in Data (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper), Subcritical and Supercritical Water Processes (1 paper), Lignin and Wood Chemistry (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (182 citations), Signal Processing (70 citations), Computational Mathematics (1 citation), Artificial Intelligence (51 citations) and Human-Computer Interaction (4 citations). Chaochao Lu has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Xiaoou Tang, Michael Hirsch, Bernhard Schölkopf, Linlin Wang, Feifei Qiu, Jiezhen Liang, Deli Zhao, Xiaojie Wei, Xiaopeng Chen and Junda Wu. Their work appears in journals such as RSC Advances, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the AAAI Conference on Artificial Intelligence.
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.