Tianrui Li
- Artificial Intelligence top 0.05%
- Computational Theory and Mathematics top 0.01%
- Information Systems top 0.05%
- Computer Vision and Pattern Recognition top 0.2%
- Management Science and Operations Research top 0.1%
- Topics
- Rough Sets and Fuzzy Logic (210 papers)Data Mining Algorithms and Applications (132 papers)Face and Expression Recognition (98 papers)
- Journals
- Advanced MaterialsSHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Tianrui Li
690 papers receiving 17.3k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Artificial Intelligence 7.3k
- Computational Theory and Mathematics 6.7k
- Information Systems 4.9k
- Computer Vision and Pattern Recognition 3.6k
- Management Science and Operations Research 2.1k
Countries citing papers authored by Tianrui Li
This map shows the geographic impact of Tianrui 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 Tianrui Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianrui Li more than expected).
Fields of papers citing papers by Tianrui Li
This network shows the impact of papers produced by Tianrui 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 Tianrui Li. The network helps show where Tianrui Li may publish in the future.
Co-authorship network of co-authors of Tianrui Li
This figure shows the co-authorship network connecting the top 25 collaborators of Tianrui Li. A scholar is included among the top collaborators of Tianrui 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 Tianrui Li. Tianrui 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 | 0 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 10 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 18 | |
| 15 | 34 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | 21 | |
| 19 | 4 | |
| 20 | Supporting Knowledge Acquisition: The ACKnowledge Project | 5 |
About Tianrui Li
Tianrui Li is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 767 papers that have together received 17.7k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (210 papers), Data Mining Algorithms and Applications (132 papers) and Face and Expression Recognition (98 papers). The work is most often cited by research in Computational Theory and Mathematics (6.7k citations), Artificial Intelligence (7.3k citations) and Information Systems (4.9k citations). Tianrui Li has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Dun Liu, Hongmei Chen, Chuan Luo, Junbo Zhang, Shi‐Jinn Horng, Hamido Fujita, Yan Yang, Shengdong Du, Da Ruan and Xin Yang. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.