Wei Fang
- Artificial Intelligence top 1%
- Molecular Biology top 10%
- Electrical and Electronic Engineering top 10%
- Pharmacology top 2%
- Computational Theory and Mathematics top 1%
- Co-authors
- Jun SunXiao‐Jun WuWenbo XuVasile PaladeLin WangShengxiang YangXin YaoXuefeng Zhou
- Topics
- Metaheuristic Optimization Algorithms Research (49 papers)Evolutionary Algorithms and Applications (19 papers)Advanced Multi-Objective Optimization Algorithms (19 papers)
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceComputational Theory and Mathematics
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wei Fang
249 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 196
- Artificial Intelligence 1.3k
- Molecular Biology 863
- Electrical and Electronic Engineering 645
- Pharmacology 538
- Computational Theory and Mathematics 522
Countries citing papers authored by Wei Fang
This map shows the geographic impact of Wei Fang'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 Wei Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Fang more than expected).
Fields of papers citing papers by Wei Fang
This network shows the impact of papers produced by Wei Fang. 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 Wei Fang. The network helps show where Wei Fang may publish in the future.
Co-authorship network of co-authors of Wei Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Fang. A scholar is included among the top collaborators of Wei Fang 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 Wei Fang. Wei Fang 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 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 10 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 19 | |
| 15 | 17 | |
| 16 | 46 | |
| 17 | A fast 3D reconstruction for wheat plant architecture studies in phenotyping. | 1 |
| 18 | The influences of the HBV DNA results by the mutations of the fluorescence probe binding region sequences | 1 |
| 19 | 122 | |
| 20 | Multimedia for Computer Science: from CS0/CS1 to Grades 7-12 | 9 |
About Wei Fang
Wei Fang is a scholar working on Artificial Intelligence, Pharmacology and Computational Mathematics, having authored 267 papers that have together received 5.0k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (49 papers), Evolutionary Algorithms and Applications (19 papers) and Advanced Multi-Objective Optimization Algorithms (19 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (423 citations), Artificial Intelligence (1.3k citations) and Computational Theory and Mathematics (522 citations). Wei Fang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jun Sun, Xiao‐Jun Wu, Wenbo Xu, Vasile Palade, Lin Wang, Shengxiang Yang, Xin Yao, Xuefeng Zhou, Yonghong Liu and Choi-Hong Lai. Their work appears in journals such as Advanced Materials, Nature Communications and Journal of Neuroscience.
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.