Zhao Li
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Statistical and Nonlinear Physics top 10%
- Computer Networks and Communications
- Co-authors
- Xin WangJianxin LiQingpeng ZhangNan ZhuYuxin ShenXin LiuFuxiang ZhangXinbo Gao
- Topics
- Advanced Graph Neural Networks (11 papers)Complex Network Analysis Techniques (8 papers)Topic Modeling (4 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionStatistical and Nonlinear Physics
- Journals
- IEEE Communications MagazineNeurocomputingIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Zhao Li
42 papers receiving 446 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 248
- Computer Vision and Pattern Recognition 135
- Information Systems 65
- Statistical and Nonlinear Physics 56
- Computer Networks and Communications 54
Countries citing papers authored by Zhao Li
This map shows the geographic impact of Zhao 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 Zhao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhao Li more than expected).
Fields of papers citing papers by Zhao Li
This network shows the impact of papers produced by Zhao 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 Zhao Li. The network helps show where Zhao Li may publish in the future.
Co-authorship network of co-authors of Zhao Li
This figure shows the co-authorship network connecting the top 25 collaborators of Zhao Li. A scholar is included among the top collaborators of Zhao 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 Zhao Li. Zhao 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 | 7 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 21 | |
| 9 | 44 | |
| 10 | 53 | |
| 11 | 85 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 10 | |
| 15 | 11 | |
| 16 | Decoding brain image data using machine learning | 0 |
| 17 | Design of Omni-directional Mobile Robot Body Based on ZigBee Technology | 1 |
| 18 | 1 | |
| 19 | The Application of Probabilistic Risk Assessment Approach to the Safety Analysis of one Specific Type of Launch Vehicle in China | 2 |
| 20 | A NEW ALGORITHM WITH SUB PIXEL ACCURACY IN IMAGE/MODEL MATCHING | 0 |
About Zhao Li
Zhao Li is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 463 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (11 papers), Complex Network Analysis Techniques (8 papers) and Topic Modeling (4 papers). The work is most often cited by research in Artificial Intelligence (248 citations), Computer Vision and Pattern Recognition (135 citations) and Statistical and Nonlinear Physics (56 citations). Zhao Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xin Wang, Jianxin Li, Qingpeng Zhang, Nan Zhu, Yuxin Shen, Xin Liu, Fuxiang Zhang, Xinbo Gao, Na Dong and Martin Ester. Their work appears in journals such as IEEE Communications Magazine, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.
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.