Ke Shang
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering top 5%
- Topics
- Advanced Multi-Objective Optimization Algorithms (58 papers)Metaheuristic Optimization Algorithms Research (51 papers)Evolutionary Algorithms and Applications (40 papers)
In The Last Decade
Ke Shang
82 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 118
- Computational Theory and Mathematics 526
- Artificial Intelligence 515
- Computer Vision and Pattern Recognition 156
- Electrical and Electronic Engineering 141
- Industrial and Manufacturing Engineering 115
Countries citing papers authored by Ke Shang
This map shows the geographic impact of Ke Shang'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 Ke Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Shang more than expected).
Fields of papers citing papers by Ke Shang
This network shows the impact of papers produced by Ke Shang. 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 Ke Shang. The network helps show where Ke Shang may publish in the future.
Co-authorship network of co-authors of Ke Shang
This figure shows the co-authorship network connecting the top 25 collaborators of Ke Shang. A scholar is included among the top collaborators of Ke Shang 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 Ke Shang. Ke Shang 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 | 0 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 14 | |
| 19 | 31 | |
| 20 | R2-based hypervolume contribution approximation in multi-objective optimization | 1 |
About Ke Shang
Ke Shang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 89 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (58 papers), Metaheuristic Optimization Algorithms Research (51 papers) and Evolutionary Algorithms and Applications (40 papers). The work is most often cited by research in Computational Theory and Mathematics (526 citations), Artificial Intelligence (515 citations) and Industrial and Manufacturing Engineering (115 citations). Ke Shang has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Hisao Ishibuchi, Lie Meng Pang, Linjun He, Jinwen Tian, Yansheng Li, Yihua Tan, Chao Tao, Liangjun Ke, Zuren Feng and Jian Ma. Their work appears in journals such as Blood, European Journal of Operational Research and IEEE Access.
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.