Jin Yuan
Impact in
-
- Finite Group Theory Research
- Artificial Intelligence top 1%
- Coding theory and cryptography
- Cryptographic Implementations and Security
Papers in
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- Advanced Optimization Algorithms Research 8
-
- Matrix Theory and Algorithms 15
- Co-authors
- Cunsheng DingClaude CarletTao YuKesheng WangMinglun FangMarko MoisioXuemei LiuAlfredo N. Iusem
- Journals
- Computers and Electronics in Agriculture (13 papers)Biosystems Engineering (6 papers)IEEE Transactions on Information Theory (5 papers)Applied Mathematics and Computation (5 papers)Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (4 papers)
- Partner nations
- ChinaBrazilUnited States
In The Last Decade
Jin Yuan
213 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 179
- Discrete Mathematics and Combinatorics 189
- Artificial Intelligence 1.2k
- Computational Theory and Mathematics 524
- Numerical Analysis 138
- Electrical and Electronic Engineering 1.2k
Countries citing papers authored by Jin Yuan
This map shows the geographic impact of Jin Yuan'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 Jin Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Yuan more than expected).
Fields of papers citing papers by Jin Yuan
This network shows the impact of papers produced by Jin Yuan. 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 Jin Yuan. The network helps show where Jin Yuan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin Yuan, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 7 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 7 | |
| 13 | 2024 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 24 | |
| 17 | 2020 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2017 | 12 | |
| 20 | 2017 | 4 |
About Jin Yuan
Jin Yuan is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Ecological Modeling and General Engineering, having authored 229 papers that have together received 3.4k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (15 papers), Smart Agriculture and AI (15 papers), Coding theory and cryptography (12 papers), Plant Surface Properties and Treatments (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Electromagnetic Scattering and Analysis (8 papers), Multimodal Machine Learning Applications (8 papers) and Advanced Optimization Algorithms Research (8 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (189 citations), Artificial Intelligence (1.2k citations), Computational Theory and Mathematics (524 citations), Numerical Analysis (138 citations) and Electrical and Electronic Engineering (1.2k citations). Jin Yuan has collaborated with scholars based in China, Brazil and United States. Frequent co-authors include Cunsheng Ding, Claude Carlet, Tao Yu, Kesheng Wang, Minglun Fang, Marko Moisio, Xuemei Liu, Alfredo N. Iusem, Pingzhi Yuan and Mingqiu Zhao. Their work appears in journals such as Computers and Electronics in Agriculture, Biosystems Engineering, IEEE Transactions on Information Theory, Applied Mathematics and Computation and Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science.
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.