Shoufei Han
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Computer Networks and Communications
- Co-authors
- Kun ZhuMengChu ZhouXiaojing LiuXinye CaiXiguang LiChangqing GongLiang ZhaoAbdullah Abusorrah
- Topics
- Metaheuristic Optimization Algorithms Research (10 papers)Machine Learning and ELM (6 papers)Advanced Multi-Objective Optimization Algorithms (4 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Journals
- Expert Systems with ApplicationsIEEE Transactions on Vehicular TechnologyIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Shoufei Han
16 papers receiving 375 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 229
- Computational Theory and Mathematics 82
- Computer Vision and Pattern Recognition 74
- Aerospace Engineering 63
- Computer Networks and Communications 56
Countries citing papers authored by Shoufei Han
This map shows the geographic impact of Shoufei Han'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 Shoufei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoufei Han more than expected).
Fields of papers citing papers by Shoufei Han
This network shows the impact of papers produced by Shoufei Han. 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 Shoufei Han. The network helps show where Shoufei Han may publish in the future.
Co-authorship network of co-authors of Shoufei Han
This figure shows the co-authorship network connecting the top 25 collaborators of Shoufei Han. A scholar is included among the top collaborators of Shoufei Han 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 Shoufei Han. Shoufei Han 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 | 7 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | 23 | |
| 8 | 57 | |
| 9 | 28 | |
| 10 | 26 | |
| 11 | 64 | |
| 12 | 47 | |
| 13 | 12 | |
| 14 | 16 | |
| 15 | 7 | |
| 16 | 17 | |
| 17 | 35 | |
| 18 | 7 | |
| 19 | 16 |
About Shoufei Han
Shoufei Han is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 379 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (10 papers), Machine Learning and ELM (6 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). The work is most often cited by research in Artificial Intelligence (229 citations), Computational Theory and Mathematics (82 citations) and Computer Vision and Pattern Recognition (74 citations). Shoufei Han has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Kun Zhu, MengChu Zhou, Xiaojing Liu, Xinye Cai, Xiguang Li, Changqing Gong, Liang Zhao, Abdullah Abusorrah, Xiaojing Liu and Hesham Alhumade. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.
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.