Yuhui Shi
- Artificial Intelligence top 0.05%
- Computational Theory and Mathematics top 0.05%
- Electrical and Electronic Engineering top 1%
- Control and Systems Engineering top 0.2%
- Computer Networks and Communications top 0.5%
- Co-authors
- R.C. EberhartShi ChengJun ZhangYun LiHenry Shu-Hung ChungZhi‐Hui ZhanXiaohui HuMohd Najib Mohd Salleh
- Topics
- Metaheuristic Optimization Algorithms Research (117 papers)Evolutionary Algorithms and Applications (65 papers)Advanced Multi-Objective Optimization Algorithms (65 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yuhui Shi
227 papers receiving 14.0k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Artificial Intelligence 7.9k
- Computational Theory and Mathematics 3.6k
- Electrical and Electronic Engineering 2.6k
- Control and Systems Engineering 2.5k
- Computer Networks and Communications 1.9k
Countries citing papers authored by Yuhui Shi
This map shows the geographic impact of Yuhui Shi'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 Yuhui Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhui Shi more than expected).
Fields of papers citing papers by Yuhui Shi
This network shows the impact of papers produced by Yuhui Shi. 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 Yuhui Shi. The network helps show where Yuhui Shi may publish in the future.
Co-authorship network of co-authors of Yuhui Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Yuhui Shi. A scholar is included among the top collaborators of Yuhui Shi 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 Yuhui Shi. Yuhui Shi 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 15 | |
| 10 | 11 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 18 | |
| 14 | 18 | |
| 15 | 47 | |
| 16 | 17 | |
| 17 | 171 | |
| 18 | 6 | |
| 19 | 28 | |
| 20 | 165 |
About Yuhui Shi
Yuhui Shi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 240 papers that have together received 14.7k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (117 papers), Evolutionary Algorithms and Applications (65 papers) and Advanced Multi-Objective Optimization Algorithms (65 papers). The work is most often cited by research in Artificial Intelligence (7.9k citations), Computational Theory and Mathematics (3.6k citations) and Industrial and Manufacturing Engineering (1.2k citations). Yuhui Shi has collaborated with scholars based in China, Australia and United States. Frequent co-authors include R.C. Eberhart, Shi Cheng, Jun Zhang, Yun Li, Henry Shu-Hung Chung, Zhi‐Hui Zhan, Xiaohui Hu, Mohd Najib Mohd Salleh, Kashif Hussain and Haibin Duan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.