Kang Li
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Information Systems
- Neurology
- Topics
- Metaheuristic Optimization Algorithms Research (7 papers)Advanced Multi-Objective Optimization Algorithms (6 papers)Evolutionary Algorithms and Applications (5 papers)
- Journals
- The Science of The Total EnvironmentJournal of the American Ceramic SocietyJournal of Materials Science
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kang Li
40 papers receiving 380 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 169
- Computer Vision and Pattern Recognition 94
- Radiology, Nuclear Medicine and Imaging 49
- Information Systems 33
- Neurology 32
Countries citing papers authored by Kang Li
This map shows the geographic impact of Kang 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 Kang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang Li more than expected).
Fields of papers citing papers by Kang Li
This network shows the impact of papers produced by Kang 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 Kang Li. The network helps show where Kang Li may publish in the future.
Co-authorship network of co-authors of Kang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Kang Li. A scholar is included among the top collaborators of Kang 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 Kang Li. Kang 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 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 3D-MRI super-resolution reconstruction using multi-modality based on multi-resolution CNNbreakdown → | 52 |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 46 | |
| 13 | 5 | |
| 14 | 31 | |
| 15 | 4 | |
| 16 | 15 | |
| 17 | Design and Study of Variable Steering Ratio Curve of Active Front Wheel Steering | 1 |
| 18 | Ontology-based semantic information retrieval | 3 |
| 19 | Modeling of Virtual Soybean Topology Based on Growth Function | 1 |
| 20 | Empirical Study on the Phenomenon of Over-reaction and "Policy Market" in Chinese Stock Market | 2 |
About Kang Li
Kang Li is a scholar working on Artificial Intelligence, Media Technology and Computational Theory and Mathematics, having authored 47 papers that have together received 391 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Evolutionary Algorithms and Applications (5 papers). The work is most often cited by research in Artificial Intelligence (169 citations), Computer Vision and Pattern Recognition (94 citations) and Neurology (32 citations). Kang Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianjun Huang, Aidong Zhang, Hung Q. Ngo, Liang Ge, Jianping Li, Jing Gao, Wanzeng Kong, Jiajia Tang, Andrzej Cichocki and Qibin Zhao. Their work appears in journals such as The Science of The Total Environment, Journal of the American Ceramic Society and Journal of Materials Science.
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.