Weifeng Gao
- Artificial Intelligence top 0.5%
- Computational Theory and Mathematics top 0.2%
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 2%
- Electrical and Electronic Engineering top 10%
- Topics
- Metaheuristic Optimization Algorithms Research (58 papers)Advanced Multi-Objective Optimization Algorithms (48 papers)Evolutionary Algorithms and Applications (30 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- Analytical BiochemistryInternational Journal of Molecular SciencesIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Weifeng Gao
96 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 2.5k
- Computational Theory and Mathematics 1.5k
- Computer Vision and Pattern Recognition 446
- Control and Systems Engineering 432
- Electrical and Electronic Engineering 376
Countries citing papers authored by Weifeng Gao
This map shows the geographic impact of Weifeng Gao'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 Weifeng Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weifeng Gao more than expected).
Fields of papers citing papers by Weifeng Gao
This network shows the impact of papers produced by Weifeng Gao. 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 Weifeng Gao. The network helps show where Weifeng Gao may publish in the future.
Co-authorship network of co-authors of Weifeng Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Weifeng Gao. A scholar is included among the top collaborators of Weifeng Gao 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 Weifeng Gao. Weifeng Gao 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 5 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | Differential evolution with the search strategy of artificial bee colony algorithm | 3 |
| 20 | A global best artificial bee colony algorithm for global optimizationbreakdown → | 341 |
About Weifeng Gao
Weifeng Gao is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Numerical Analysis, having authored 107 papers that have together received 3.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (58 papers), Advanced Multi-Objective Optimization Algorithms (48 papers) and Evolutionary Algorithms and Applications (30 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Artificial Intelligence (2.5k citations) and Industrial and Manufacturing Engineering (355 citations). Weifeng Gao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Sanyang Liu, Lingling Huang, Gary G. Yen, Genghui Li, Maoguo Gong, Qiuzhen Lin, Qingfu Zhang, Cai Dai, Felix T.S. Chan and Hong Li. Their work appears in journals such as Analytical Biochemistry, International Journal of Molecular Sciences and IEEE Transactions on Geoscience and Remote Sensing.
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.