Jianxin Li
- Artificial Intelligence top 0.5%
- Computer Networks and Communications top 1%
- Information Systems top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- Chengfei LiuXiangyu SongQijun YuRui ZhouJiangxiong WeiTongsheng ZhangTimos SellisYunliang Chen
- Topics
- Complex Network Analysis Techniques (56 papers)Advanced Graph Neural Networks (51 papers)Data Management and Algorithms (39 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysical review. B, Condensed matterEnvironmental Science & Technology
In The Last Decade
Jianxin Li
356 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Artificial Intelligence 2.6k
- Computer Networks and Communications 1.4k
- Information Systems 1.3k
- Statistical and Nonlinear Physics 940
- Computer Vision and Pattern Recognition 822
Countries citing papers authored by Jianxin Li
This map shows the geographic impact of Jianxin 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 Jianxin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianxin Li more than expected).
Fields of papers citing papers by Jianxin Li
This network shows the impact of papers produced by Jianxin 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 Jianxin Li. The network helps show where Jianxin Li may publish in the future.
Co-authorship network of co-authors of Jianxin Li
This figure shows the co-authorship network connecting the top 25 collaborators of Jianxin Li. A scholar is included among the top collaborators of Jianxin 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 Jianxin Li. Jianxin 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 | 2 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 12 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | A Comprehensive Survey on Multi-View Clusteringbreakdown → | 142 |
| 14 | 4 | |
| 15 | 89 | |
| 16 | 33 | |
| 17 | 9 | |
| 18 | 85 | |
| 19 | 4 | |
| 20 | 37 |
About Jianxin Li
Jianxin Li is a scholar working on Transportation, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 398 papers that have together received 7.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (56 papers), Advanced Graph Neural Networks (51 papers) and Data Management and Algorithms (39 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Transportation (532 citations) and Statistical and Nonlinear Physics (940 citations). Jianxin Li has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Chengfei Liu, Xiangyu Song, Qijun Yu, Rui Zhou, Jiangxiong Wei, Tongsheng Zhang, Timos Sellis, Yunliang Chen, Jeffrey Xu Yu and Taotao Cai. Their work appears in journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and Environmental Science & Technology.
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.