Wenji Li
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms 25
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research 24
- Evolutionary Algorithms and Applications 11
- Urology top 5%
- Pollution top 10%
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- Robotic Path Planning Algorithms 6
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- Marine Bivalve and Aquaculture Studies 6
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- Plant Molecular Biology Research 6
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- Retinal Imaging and Analysis 5
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- Cancer survivorship and care 4
- Co-authors
- Zhun FanXinye CaiCai-Min WeiErik D. GoodmanYi FangHui LiKalyanmoy DebQingfu Zhang
- Journals
- Swarm and Evolutionary Computation (7 papers)Antioxidants (2 papers)Water Research (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Wenji Li
92 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Computational Theory and Mathematics 906
- Artificial Intelligence 880
- Urology 108
- Industrial and Manufacturing Engineering 91
- Pollution 91
Countries citing papers authored by Wenji Li
This map shows the geographic impact of Wenji Li'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 Wenji Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenji Li more than expected).
Fields of papers citing papers by Wenji Li
This network shows the impact of papers produced by Wenji Li. 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 Wenji Li. The network helps show where Wenji Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wenji Li, 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 | 2025 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 12 | |
| 13 | 2023 | 9 | |
| 14 | 2022 | 2 | |
| 15 | 2020 | 9 | |
| 16 | 2020 | 17 | |
| 17 | 2019 | 13 | |
| 18 | 2019 | 27 | |
| 19 | Automated Blood Vessel Segmentation of Fundus Images Based on Region Features and Hierarchical Growth Algorithm. | 2017 | 3 |
| 20 | Establishment of high temperature resistance families and use of laboratory assays to predict subsequent survival in juvenile stage of the Japanese scallop (Mizuhopecten yessoensis). | 2014 | 2 |
About Wenji Li
Wenji Li is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 98 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (25 papers), Metaheuristic Optimization Algorithms Research (24 papers), Evolutionary Algorithms and Applications (11 papers), Robotic Path Planning Algorithms (6 papers), Marine Bivalve and Aquaculture Studies (6 papers), Plant Molecular Biology Research (6 papers), Retinal Imaging and Analysis (5 papers) and Cancer survivorship and care (4 papers). The work is most often cited by research in Computational Theory and Mathematics (906 citations), Artificial Intelligence (880 citations) and Urology (108 citations). Wenji Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhun Fan, Xinye Cai, Cai-Min Wei, Erik D. Goodman, Yi Fang, Hui Li, Kalyanmoy Deb, Qingfu Zhang, Yugen You and Han Huang. Their work appears in journals such as Swarm and Evolutionary Computation, Antioxidants, Water Research, Plant Physiology and Biochemistry and Planta.
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.