Xiangmin Xu
- Computer Vision and Pattern Recognition top 0.2%
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 0.5%
- Media Technology top 0.2%
- Artificial Intelligence top 1%
- Topics
- Emotion and Mood Recognition (37 papers)EEG and Brain-Computer Interfaces (30 papers)Visual Attention and Saliency Detection (19 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyExperimental and Cognitive Psychology
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaNano Letters
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Xiangmin Xu
189 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Computer Vision and Pattern Recognition 3.2k
- Cognitive Neuroscience 1.5k
- Experimental and Cognitive Psychology 1.4k
- Media Technology 1.3k
- Artificial Intelligence 1.1k
Countries citing papers authored by Xiangmin Xu
This map shows the geographic impact of Xiangmin Xu'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 Xiangmin Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangmin Xu more than expected).
Fields of papers citing papers by Xiangmin Xu
This network shows the impact of papers produced by Xiangmin Xu. 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 Xiangmin Xu. The network helps show where Xiangmin Xu may publish in the future.
Co-authorship network of co-authors of Xiangmin Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiangmin Xu. A scholar is included among the top collaborators of Xiangmin Xu 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 Xiangmin Xu. Xiangmin Xu 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 | 10 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 17 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 11 | |
| 16 | 7 | |
| 17 | 4 | |
| 18 | Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores | 3 |
| 19 | 12 | |
| 20 | 0 |
About Xiangmin Xu
Xiangmin Xu is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Human-Computer Interaction, having authored 208 papers that have together received 6.7k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (37 papers), EEG and Brain-Computer Interfaces (30 papers) and Visual Attention and Saliency Detection (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.2k citations), Media Technology (1.3k citations) and Experimental and Cognitive Psychology (1.4k citations). Xiangmin Xu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Bolun Cai, Chunmei Qing, Dacheng Tao, Kui Jia, Lin Shu, Xiaofen Xing, C. L. Philip Chen, Tong Zhang, Zhiyang Li and Bin Hu. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Nano Letters.
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.