Xuelong Li
- Computer Vision and Pattern Recognition top 0.05%
- Face and Expression Recognition 209
- Advanced Image and Video Retrieval Techniques 89
- Video Surveillance and Tracking Methods 75
- Media Technology top 0.05%
- Remote-Sensing Image Classification 122
- Computational Mathematics top 0.5%
- Artificial Intelligence top 0.05%
- Domain Adaptation and Few-Shot Learning 80
- Advanced Clustering Algorithms Research 76
- Urban Studies top 0.1%
- Advanced Computing and Algorithms 58
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- Sparse and Compressive Sensing Techniques 50
- Co-authors
- Feiping NieQi WangRong WangXiaoqiang LuJunyu GaoYanwei PangRui ZhangQiang Li
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (38 papers)IEEE Transactions on Industrial Electronics (5 papers)International Journal of Molecular Sciences (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Xuelong Li
566 papers receiving 14.7k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Computer Vision and Pattern Recognition 9.7k
- Media Technology 3.5k
- Computational Mathematics 161
- Artificial Intelligence 6.2k
- Urban Studies 739
Countries citing papers authored by Xuelong Li
This map shows the geographic impact of Xuelong 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 Xuelong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuelong Li more than expected).
Fields of papers citing papers by Xuelong Li
This network shows the impact of papers produced by Xuelong 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 Xuelong Li. The network helps show where Xuelong Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xuelong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 23 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 16 | |
| 17 | 2023 | 9 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 16 | |
| 20 | 2022 | 25 |
About Xuelong Li
Xuelong Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Urban Studies, having authored 606 papers that have together received 14.9k indexed citations. Recurring topics across this work include Face and Expression Recognition (209 papers), Remote-Sensing Image Classification (122 papers), Advanced Image and Video Retrieval Techniques (89 papers), Domain Adaptation and Few-Shot Learning (80 papers), Advanced Clustering Algorithms Research (76 papers), Video Surveillance and Tracking Methods (75 papers), Advanced Computing and Algorithms (58 papers) and Sparse and Compressive Sensing Techniques (50 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (9.7k citations), Media Technology (3.5k citations) and Computational Mathematics (161 citations). Xuelong Li has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Feiping Nie, Qi Wang, Rong Wang, Xiaoqiang Lu, Junyu Gao, Yanwei Pang, Rui Zhang, Qiang Li, Bin Zhao and Zhen Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Industrial Electronics and International Journal of Molecular Sciences.
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.