Shengwei Fu
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Aerospace Engineering
- Industrial and Manufacturing Engineering top 10%
- Topics
- Metaheuristic Optimization Algorithms Research (7 papers)Robotic Path Planning Algorithms (6 papers)Advanced Multi-Objective Optimization Algorithms (4 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Journals
- Scientific ReportsExpert Systems with ApplicationsComputer Methods in Applied Mechanics and Engineering
- Partner nations
- ChinaIranUnited States
In The Last Decade
Shengwei Fu
14 papers receiving 278 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 156
- Computer Vision and Pattern Recognition 91
- Computational Theory and Mathematics 59
- Aerospace Engineering 56
- Industrial and Manufacturing Engineering 41
Countries citing papers authored by Shengwei Fu
This map shows the geographic impact of Shengwei Fu'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 Shengwei Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengwei Fu more than expected).
Fields of papers citing papers by Shengwei Fu
This network shows the impact of papers produced by Shengwei Fu. 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 Shengwei Fu. The network helps show where Shengwei Fu may publish in the future.
Co-authorship network of co-authors of Shengwei Fu
This figure shows the co-authorship network connecting the top 25 collaborators of Shengwei Fu. A scholar is included among the top collaborators of Shengwei Fu 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 Shengwei Fu. Shengwei Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | Modified LSHADE-SPACMA with new mutation strategy and external archive mechanism for numerical optimization and point cloud registrationbreakdown → | 20 |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 27 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 28 | |
| 14 | 2 | |
| 15 | Red-billed blue magpie optimizer: a novel metaheuristic algorithm for 2D/3D UAV path planning and engineering design problemsbreakdown → | 109 |
| 16 | 38 | |
| 17 | 43 |
About Shengwei Fu
Shengwei Fu is a scholar working on Numerical Analysis, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 17 papers that have together received 289 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Robotic Path Planning Algorithms (6 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). The work is most often cited by research in Artificial Intelligence (156 citations), Computer Vision and Pattern Recognition (91 citations) and Industrial and Manufacturing Engineering (41 citations). Shengwei Fu has collaborated with scholars based in China, Iran and United States. Frequent co-authors include Haisong Huang, Chi Ma, Qingsong Fan, Yunwei Zhu, Ke Li, Youfa Fu, Ke Li, Yiting Li, Jianan Wei and Ling He. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and Computer Methods in Applied Mechanics and Engineering.
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.