Shang Li
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Political Science and International Relations top 10%
- Topics
- Distributed Sensor Networks and Detection Algorithms (10 papers)Artificial Intelligence in Law (8 papers)Target Tracking and Data Fusion in Sensor Networks (7 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Power SystemsIEEE Transactions on Signal Processing
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Shang Li
39 papers receiving 528 citations
Peers
Comparison fields: 5 of 69
- Control and Systems Engineering 250
- Computer Networks and Communications 239
- Artificial Intelligence 208
- Electrical and Electronic Engineering 189
- Political Science and International Relations 66
Countries citing papers authored by Shang Li
This map shows the geographic impact of Shang 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 Shang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shang Li more than expected).
Fields of papers citing papers by Shang Li
This network shows the impact of papers produced by Shang 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 Shang Li. The network helps show where Shang Li may publish in the future.
Co-authorship network of co-authors of Shang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Shang Li. A scholar is included among the top collaborators of Shang 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 Shang Li. Shang 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 8 | |
| 10 | 39 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 15 | |
| 16 | 14 | |
| 17 | 0 | |
| 18 | 8 | |
| 19 | 212 | |
| 20 | The Establishment and Development of the Course of Motion Control System | 0 |
About Shang Li
Shang Li is a scholar working on Computational Mathematics, Artificial Intelligence and Neuropsychology and Physiological Psychology, having authored 46 papers that have together received 541 indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (10 papers), Artificial Intelligence in Law (8 papers) and Target Tracking and Data Fusion in Sensor Networks (7 papers). The work is most often cited by research in Control and Systems Engineering (250 citations), Computer Networks and Communications (239 citations) and Artificial Intelligence (208 citations). Shang Li has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Xiaodong Wang, Yasin Yılmaz, Hongli Zhang, Bruce Jacob, Binxing Fang, Lin Ye, Ziyu Guo, Heng Wei, Xiaodong Wang and Jingchen Liu. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Power Systems and IEEE Transactions on Signal 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.