Wing Tat Leung
- Computational Theory and Mathematics top 0.5%
- Advanced Mathematical Modeling in Engineering 52
- Computational Mechanics top 1%
- Advanced Numerical Methods in Computational Mathematics 49
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis 5
- Mechanics of Materials top 2%
- Composite Material Mechanics 40
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- Model Reduction and Neural Networks 3
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- Numerical methods in inverse problems 3
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- Differential Equations and Numerical Methods 2
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- Seismic Imaging and Inversion Techniques 2
- Co-authors
- Eric T. ChungYalchin EfendievMaria VasilyevaYating WangZecheng ZhangC. MetreweliP. J. JohnsonMilorad Bojić
- Journals
- Journal of Computational Physics (17 papers)British Journal of Cancer (1 paper)Energy Conversion and Management (1 paper)
- Partner nations
- United StatesHong KongRussia
In The Last Decade
Wing Tat Leung
60 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Computational Theory and Mathematics 670
- Computational Mechanics 676
- Hepatology 232
- Mechanics of Materials 546
- Statistical and Nonlinear Physics 111
Countries citing papers authored by Wing Tat Leung
This map shows the geographic impact of Wing Tat Leung'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 Wing Tat Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wing Tat Leung more than expected).
Fields of papers citing papers by Wing Tat Leung
This network shows the impact of papers produced by Wing Tat Leung. 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 Wing Tat Leung. The network helps show where Wing Tat Leung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wing Tat Leung, 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 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 1 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 6 | |
| 13 | 2016 | 26 | |
| 14 | 2016 | 7 | |
| 15 | 2015 | 13 | |
| 16 | 2015 | 2 | |
| 17 | 2013 | 11 | |
| 18 | 2002 | 68 | |
| 19 | 1997 | 19 | |
| 20 | 1995 | 2 |
About Wing Tat Leung
Wing Tat Leung is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Mechanics of Materials, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (52 papers), Advanced Numerical Methods in Computational Mathematics (49 papers), Composite Material Mechanics (40 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Model Reduction and Neural Networks (3 papers), Numerical methods in inverse problems (3 papers), Differential Equations and Numerical Methods (2 papers) and Seismic Imaging and Inversion Techniques (2 papers). The work is most often cited by research in Computational Theory and Mathematics (670 citations), Computational Mechanics (676 citations) and Hepatology (232 citations). Wing Tat Leung has collaborated with scholars based in United States, Hong Kong and Russia. Frequent co-authors include Eric T. Chung, Yalchin Efendiev, Maria Vasilyeva, Yating Wang, Zecheng Zhang, C. Metreweli, P. J. Johnson, Milorad Bojić, W. Y. Lau and Michael Ho‐Yeung Chan. Their work appears in journals such as Journal of Computational Physics, British Journal of Cancer and Energy Conversion and Management.
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.