Xingfeng Li
Impact in
- Computational Mathematics top 10%
- Tensor decomposition and applications
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research
- Advanced Graph Neural Networks
- Privacy-Preserving Technologies in Data
- Machine Learning and Algorithms
Papers in
-
- Advanced Clustering Algorithms Research 16
-
- Face and Expression Recognition 5
- Advanced Vision and Imaging 1
- Advanced Image and Video Retrieval Techniques 1
- Co-authors
- Zhenwen Ren (17 shared papers)Quansen Sun (15 shared papers)Yinghui Sun (10 shared papers)Yuan Sun (7 shared papers)Zhi Jie Xu (1 shared paper)Mithun Mukherjee (2 shared papers)Yuqing Huang (2 shared papers)Zhen Yi Huang (1 shared paper)
- Journals
- Information Fusion (2 papers)Neural Networks (1 paper)Knowledge-Based Systems (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)Pattern Recognition (1 paper)
- Partner nations
- ChinaSingaporeBangladesh
In The Last Decade
Xingfeng Li
19 papers receiving 303 citations
Peers
Comparison fields: 5 of 19
- Computational Mathematics 13
- Artificial Intelligence 263
- Computer Vision and Pattern Recognition 48
- Signal Processing 2
- Computational Mechanics 5
Countries citing papers authored by Xingfeng Li
This map shows the geographic impact of Xingfeng 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 Xingfeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingfeng Li more than expected).
Fields of papers citing papers by Xingfeng Li
This network shows the impact of papers produced by Xingfeng 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 Xingfeng Li. The network helps show where Xingfeng Li may publish in the future.
Co-authors
The 19 scholars most cited alongside Xingfeng 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 | 2023 | 67 | |
| 2 | 2022 | 65 | |
| 3 | 2020 | 24 | |
| 4 | 2021 | 23 | |
| 5 | 2022 | 22 | |
| 6 | 2020 | 18 | |
| 7 | 2024 | 17 | |
| 8 | 2024 | 13 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2023 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2011 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Xingfeng Li
Xingfeng Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mathematics, Computational Theory and Mathematics and Experimental and Cognitive Psychology, having authored 20 papers that have together received 303 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (16 papers), Face and Expression Recognition (5 papers), Tensor decomposition and applications (2 papers), Formal Methods in Verification (1 paper), Advanced Vision and Imaging (1 paper), Emotion and Mood Recognition (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computational Mathematics (13 citations), Artificial Intelligence (263 citations), Computer Vision and Pattern Recognition (48 citations), Signal Processing (2 citations) and Computational Mechanics (5 citations). Xingfeng Li has collaborated with scholars based in China, Singapore and Bangladesh. Frequent co-authors include Zhenwen Ren, Quansen Sun, Yinghui Sun, Yuan Sun, Zhi Jie Xu, Mithun Mukherjee, Yuqing Huang, Zhen Yi Huang, Jian Dai and Ivor Wai-Hung Tsang. Their work appears in journals such as Information Fusion, Neural Networks, Knowledge-Based Systems, IEEE Transactions on Circuits and Systems for Video Technology and Pattern Recognition.
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.