Chunlei Wu
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- Multimodal Machine Learning Applications 20
- Advanced Image and Video Retrieval Techniques 14
- Human Pose and Action Recognition 7
- Video Analysis and Summarization 4
- Information Systems top 5%
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning 10
- Anomaly Detection Techniques and Applications 7
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- Remote-Sensing Image Classification 6
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- Millimeter-Wave Propagation and Modeling 5
- Co-authors
- Leiquan WangXiao YangDan YuDingliang ChenC WANGXuerong CuiJing LüJie Wu
- Cited by
- Computational Theory and MathematicsComputer Vision and Pattern RecognitionInformation Systems
In The Last Decade
Chunlei Wu
52 papers receiving 571 citations
Peers
Comparison fields: 5 of 80
- Computational Theory and Mathematics 221
- Computer Vision and Pattern Recognition 203
- Information Systems 161
- Management Science and Operations Research 80
- Artificial Intelligence 193
Countries citing papers authored by Chunlei Wu
This map shows the geographic impact of Chunlei Wu'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 Chunlei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunlei Wu more than expected).
Fields of papers citing papers by Chunlei Wu
This network shows the impact of papers produced by Chunlei Wu. 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 Chunlei Wu. The network helps show where Chunlei Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chunlei Wu, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 1 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2019 | 3 | |
| 19 | 2013 | 2 | |
| 20 | 2005 | 26 |
About Chunlei Wu
Chunlei Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 60 papers that have together received 600 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (20 papers), Advanced Image and Video Retrieval Techniques (14 papers), Domain Adaptation and Few-Shot Learning (10 papers), Anomaly Detection Techniques and Applications (7 papers), Human Pose and Action Recognition (7 papers), Remote-Sensing Image Classification (6 papers), Millimeter-Wave Propagation and Modeling (5 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Computational Theory and Mathematics (221 citations), Computer Vision and Pattern Recognition (203 citations) and Information Systems (161 citations). Chunlei Wu has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Leiquan Wang, Xiao Yang, Dan Yu, Dingliang Chen, C WANG, Xuerong Cui, Jing Lü, Jie Wu, Mingwen Shao and Zhongwei Li. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and International Journal of Hydrogen Energy.
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.