Wei Fang
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research 49
- Evolutionary Algorithms and Applications 19
-
- Advanced Multi-Objective Optimization Algorithms 19
- Pharmacology top 2%
- Microbial Natural Products and Biosynthesis 18
- Antibiotics Pharmacokinetics and Efficacy 10
- Biotechnology top 2%
-
- Advanced Algorithms and Applications 13
-
- Data Mining Algorithms and Applications 11
-
- Energy Efficient Wireless Sensor Networks 10
- Co-authors
- Jun SunXiao‐Jun WuWenbo XuVasile PaladeLin WangShengxiang YangXin YaoXuefeng Zhou
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceComputational Theory and Mathematics
- Journals
- Advanced Materials (1 paper)Nature Communications (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wei Fang
249 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 196
- Industrial and Manufacturing Engineering 423
- Artificial Intelligence 1.3k
- Computational Theory and Mathematics 522
- Pharmacology 538
- Biotechnology 223
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
The 25 scholars most cited alongside Wei Fang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 19 | |
| 15 | 2022 | 17 | |
| 16 | 2019 | 46 | |
| 17 | A fast 3D reconstruction for wheat plant architecture studies in phenotyping. | 2016 | 1 |
| 18 | The influences of the HBV DNA results by the mutations of the fluorescence probe binding region sequences | 2012 | 1 |
| 19 | 2006 | 122 | |
| 20 | Multimedia for Computer Science: from CS0/CS1 to Grades 7-12 | 2003 | 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), Advanced Multi-Objective Optimization Algorithms (19 papers), Microbial Natural Products and Biosynthesis (18 papers), Advanced Algorithms and Applications (13 papers), Data Mining Algorithms and Applications (11 papers), Energy Efficient Wireless Sensor Networks (10 papers) and Antibiotics Pharmacokinetics and Efficacy (10 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.