Haijun Wu
Impact in
- Computational Mechanics top 1%
- Advanced Numerical Methods in Computational Mathematics
- Mechanics of Materials top 2%
- Numerical methods in engineering
Papers in
-
- Advanced Numerical Methods in Computational Mathematics 39
-
- Numerical methods in engineering 19
- Composite Material Mechanics 4
- Journals
- SIAM Journal on Numerical Analysis (14 papers)Journal of Scientific Computing (6 papers)Journal of Computational and Applied Mathematics (5 papers)IMA Journal of Numerical Analysis (3 papers)Journal of the Optical Society of America A (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Haijun Wu
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 54
- Computational Mechanics 871
- Mechanics of Materials 636
- Numerical Analysis 116
- Atomic and Molecular Physics, and Optics 500
- Computational Theory and Mathematics 247
Countries citing papers authored by Haijun Wu
This map shows the geographic impact of Haijun Wu'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 Haijun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Wu more than expected).
Fields of papers citing papers by Haijun Wu
This network shows the impact of papers produced by Haijun Wu. 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 Haijun Wu. The network helps show where Haijun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haijun Wu, 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 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 31 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 4 | |
| 9 | 2019 | 3 | |
| 10 | 2019 | 4 | |
| 11 | 2018 | 2 | |
| 12 | 2015 | 10 | |
| 13 | 2012 | 22 | |
| 14 | 2011 | 83 | |
| 15 | 2006 | 45 | |
| 16 | 2005 | 4 | |
| 17 | 2005 | 85 | |
| 18 | 2003 | 143 | |
| 19 | 2003 | 63 | |
| 20 | 1994 | 5 |
About Haijun Wu
Haijun Wu is a scholar working on Computational Mechanics, Mechanics of Materials, Numerical Analysis, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (39 papers), Electromagnetic Simulation and Numerical Methods (37 papers), Numerical methods in engineering (19 papers), Electromagnetic Scattering and Analysis (15 papers), Advanced Mathematical Modeling in Engineering (11 papers), Differential Equations and Numerical Methods (4 papers), Composite Material Mechanics (4 papers) and Optical Coatings and Gratings (4 papers). The work is most often cited by research in Computational Mechanics (871 citations), Mechanics of Materials (636 citations), Numerical Analysis (116 citations), Atomic and Molecular Physics, and Optics (500 citations) and Computational Theory and Mathematics (247 citations). Haijun Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaobing Feng, Zhiming Chen, Gang Bao, Peijun Li, Ronghua Li, Zhimin Zhang, Weiying Zheng, Jun Zou, Yonglin Li and Patrick Ciarlet. Their work appears in journals such as SIAM Journal on Numerical Analysis, Journal of Scientific Computing, Journal of Computational and Applied Mathematics, IMA Journal of Numerical Analysis and Journal of the Optical Society of America A.
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.