Yan Gu
Impact in
- Mechanics of Materials top 0.1%
- Numerical methods in engineering
- Computational Mechanics top 0.5%
- Advanced Numerical Analysis Techniques
- Advanced Numerical Methods in Computational Mathematics
- Heat Transfer and Numerical Methods
Papers in
-
- Numerical methods in engineering 107
-
- Advanced Numerical Analysis Techniques 34
- Co-authors
- Wen Chen (36 shared papers)Chuanzeng Zhang (35 shared papers)Wenzhen Qu (44 shared papers)Chia‐Ming Fan (23 shared papers)Fajie Wang (25 shared papers)Xiaoqiao He (10 shared papers)Zhuojia Fu (14 shared papers)Yaoming Zhang (14 shared papers)
In The Last Decade
Yan Gu
249 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 121
- Mechanics of Materials 2.7k
- Computational Mechanics 1.3k
- Modeling and Simulation 219
- Mathematical Physics 321
- Statistical and Nonlinear Physics 305
Countries citing papers authored by Yan Gu
This map shows the geographic impact of Yan Gu'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 Yan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Gu more than expected).
Fields of papers citing papers by Yan Gu
This network shows the impact of papers produced by Yan Gu. 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 Yan Gu. The network helps show where Yan Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 266 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 156 | |
| 2 | 2016 | 125 | |
| 3 | 2017 | 121 | |
| 4 | 2014 | 111 | |
| 5 | 2017 | 110 | |
| 6 | 2011 | 96 | |
| 7 | 2019 | 94 | |
| 8 | 2012 | 92 | |
| 9 | 2019 | 87 | |
| 10 | 2019 | 86 | |
| 11 | 2019 | 86 | |
| 12 | 2019 | 79 | |
| 13 | 2022 | 78 | |
| 14 | 2021 | 77 | |
| 15 | 2022 | 75 | |
| 16 | 2019 | 73 | |
| 17 | 2020 | 72 | |
| 18 | 2022 | 72 | |
| 19 | 2019 | 70 | |
| 20 | 2013 | 67 |
About Yan Gu
Yan Gu is a scholar working on Mechanics of Materials, Computational Mechanics, Hardware and Architecture, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 266 papers that have together received 5.8k indexed citations. Recurring topics across this work include Numerical methods in engineering (107 papers), Advanced Numerical Analysis Techniques (34 papers), Parallel Computing and Optimization Techniques (19 papers), Electromagnetic Scattering and Analysis (13 papers), Numerical methods in inverse problems (12 papers), Model Reduction and Neural Networks (10 papers), Advanced Photocatalysis Techniques (10 papers) and Complexity and Algorithms in Graphs (10 papers). The work is most often cited by research in Mechanics of Materials (2.7k citations), Computational Mechanics (1.3k citations), Modeling and Simulation (219 citations), Mathematical Physics (321 citations) and Statistical and Nonlinear Physics (305 citations). Yan Gu has collaborated with scholars based in China, Germany and Taiwan. Frequent co-authors include Wen Chen, Chuanzeng Zhang, Wenzhen Qu, Chia‐Ming Fan, Fajie Wang, Xiaoqiao He, Zhuojia Fu, Yaoming Zhang, Qingsong Hua and Jeng‐Tzong Chen. Their work appears in journals such as Engineering Analysis with Boundary Elements, Applied Mathematics Letters, International Journal of Solids and Structures, International Journal of Heat and Mass Transfer and Computers & Mathematics with Applications.
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.