Xiangpeng Li
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Signal Processing
- Information Systems
- Computer Networks and Communications
- Co-authors
- Lianli GaoJingkuan SongHeng Tao ShenRichang HongHanwang ZhangMeng WangChuang GanXiangnan He
- Topics
- Multimodal Machine Learning Applications (14 papers)Advanced Image and Video Retrieval Techniques (11 papers)Human Pose and Action Recognition (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xiangpeng Li
28 papers receiving 875 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 737
- Artificial Intelligence 400
- Signal Processing 43
- Information Systems 35
- Computer Networks and Communications 29
Countries citing papers authored by Xiangpeng Li
This map shows the geographic impact of Xiangpeng 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 Xiangpeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangpeng Li more than expected).
Fields of papers citing papers by Xiangpeng Li
This network shows the impact of papers produced by Xiangpeng 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 Xiangpeng Li. The network helps show where Xiangpeng Li may publish in the future.
Co-authorship network of co-authors of Xiangpeng Li
This figure shows the co-authorship network connecting the top 25 collaborators of Xiangpeng Li. A scholar is included among the top collaborators of Xiangpeng Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiangpeng Li. Xiangpeng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 28 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 24 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 50 | |
| 14 | 209 | |
| 15 | 210 | |
| 16 | 29 | |
| 17 | 8 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 6 |
About Xiangpeng Li
Xiangpeng Li is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Artificial Intelligence, having authored 28 papers that have together received 888 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (14 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Human Pose and Action Recognition (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (737 citations), Artificial Intelligence (400 citations) and Signal Processing (43 citations). Xiangpeng Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Lianli Gao, Jingkuan Song, Heng Tao Shen, Richang Hong, Hanwang Zhang, Meng Wang, Chuang Gan, Xiangnan He, Xianglong Liu and Wenbing Huang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.