Zecheng Zhang
-
- Model Reduction and Neural Networks 11
- Computational Mechanics top 10%
- Advanced Numerical Methods in Computational Mathematics 7
-
- Advanced Mathematical Modeling in Engineering 9
-
- Probabilistic and Robust Engineering Design 2
-
- Composite Material Mechanics 4
-
- Numerical methods in inverse problems 3
-
- Neural Networks and Applications 3
-
- Image and Signal Denoising Methods 2
- Co-authors
- Guang LinWing Tat LeungChristian MoyaYalchin EfendievEric T. ChungHayden SchaefferCarl YangYuxin Xiao
- Journals
- Journal of Computational Physics (6 papers)International Journal of Molecular Sciences (1 paper)Computer Methods in Applied Mechanics and Engineering (1 paper)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Zecheng Zhang
25 papers receiving 252 citations
Peers
Comparison fields: 5 of 58
- Statistical and Nonlinear Physics 112
- Computational Mathematics 3
- Computational Mechanics 80
- Computational Theory and Mathematics 61
- Statistics, Probability and Uncertainty 20
Countries citing papers authored by Zecheng Zhang
This map shows the geographic impact of Zecheng Zhang'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 Zecheng Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zecheng Zhang more than expected).
Fields of papers citing papers by Zecheng Zhang
This network shows the impact of papers produced by Zecheng Zhang. 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 Zecheng Zhang. The network helps show where Zecheng Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zecheng Zhang, 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 | 7 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 13 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 21 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 20 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2021 | 1 | |
| 19 | 2019 | 5 | |
| 20 | 2014 | 1 |
About Zecheng Zhang
Zecheng Zhang is a scholar working on Computational Mathematics, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 29 papers that have together received 259 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (11 papers), Advanced Mathematical Modeling in Engineering (9 papers), Advanced Numerical Methods in Computational Mathematics (7 papers), Composite Material Mechanics (4 papers), Numerical methods in inverse problems (3 papers), Neural Networks and Applications (3 papers), Image and Signal Denoising Methods (2 papers) and Probabilistic and Robust Engineering Design (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (112 citations), Computational Mathematics (3 citations) and Computational Mechanics (80 citations). Zecheng Zhang has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Guang Lin, Wing Tat Leung, Christian Moya, Yalchin Efendiev, Eric T. Chung, Hayden Schaeffer, Carl Yang, Yuxin Xiao, Jiawei Han and Lu Lu. Their work appears in journals such as Journal of Computational Physics, International Journal of Molecular Sciences and Computer Methods in Applied Mechanics and Engineering.
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.