Chuming Li
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
- Adversarial Robustness in Machine Learning
Papers in
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- Advanced Neural Network Applications 7
- Advanced Image and Video Retrieval Techniques 4
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- Domain Adaptation and Few-Shot Learning 6
- Reinforcement Learning in Robotics 3
- Adversarial Robustness in Machine Learning 2
- Co-authors
- Wanli Ouyang (12 shared papers)Jun-Jie Yan (8 shared papers)Lin Chen (7 shared papers)Ming Sun (5 shared papers)Wei Wu (2 shared papers)Hongsheng Li (1 shared paper)Yingjie Cai (1 shared paper)Jiawei Yao (1 shared paper)
In The Last Decade
Chuming Li
24 papers receiving 500 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 273
- Artificial Intelligence 225
- Media Technology 17
- Computer Graphics and Computer-Aided Design 7
- Computational Mathematics 1
Countries citing papers authored by Chuming Li
This map shows the geographic impact of Chuming Li'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 Chuming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuming Li more than expected).
Fields of papers citing papers by Chuming Li
This network shows the impact of papers produced by Chuming Li. 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 Chuming Li. The network helps show where Chuming Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chuming Li, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 85 | |
| 2 | 2021 | 74 | |
| 3 | 2019 | 65 | |
| 4 | 2020 | 57 | |
| 5 | 2019 | 41 | |
| 6 | 2021 | 32 | |
| 7 | 2021 | 26 | |
| 8 | 2021 | 22 | |
| 9 | 2023 | 18 | |
| 10 | 2023 | 17 | |
| 11 | 2019 | 15 | |
| 12 | 2020 | 10 | |
| 13 | 2024 | 8 | |
| 14 | 2024 | 6 | |
| 15 | 2025 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2019 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2018 | 3 |
About Chuming Li
Chuming Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computer Networks and Communications and Acoustics and Ultrasonics, having authored 24 papers that have together received 506 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Advanced Image and Video Retrieval Techniques (4 papers), Cloud Computing and Resource Management (3 papers), Reinforcement Learning in Robotics (3 papers), Software-Defined Networks and 5G (3 papers), Metamaterials and Metasurfaces Applications (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (273 citations), Artificial Intelligence (225 citations), Media Technology (17 citations), Computer Graphics and Computer-Aided Design (7 citations) and Computational Mathematics (1 citation). Chuming Li has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Wanli Ouyang, Jun-Jie Yan, Lin Chen, Ming Sun, Wei Wu, Hongsheng Li, Yingjie Cai, Jiawei Yao, Hao Li and Boyu Chen. Their work appears in journals such as Ceramics International, IEEE/ACM Transactions on Networking, ACS Applied Materials & Interfaces, Neural Networks and Materials Testing.
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.