I‐Liang Chern
- Computational Mechanics top 2%
- Applied Mathematics top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Mathematical Physics top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Weizhu BaoYu‐Chen ShuSara YanivOliver A. McBryanBradley J. PlohrJames GlimmTai-Ping LiuJian‐Guo Liu
- Topics
- Navier-Stokes equation solutions (10 papers)Cold Atom Physics and Bose-Einstein Condensates (9 papers)Advanced Mathematical Physics Problems (9 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
I‐Liang Chern
47 papers receiving 978 citations
Peers
Comparison fields: 5 of 70
- Computational Mechanics 476
- Applied Mathematics 241
- Atomic and Molecular Physics, and Optics 223
- Mathematical Physics 170
- Computer Vision and Pattern Recognition 100
Countries citing papers authored by I‐Liang Chern
This map shows the geographic impact of I‐Liang Chern'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 I‐Liang Chern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Liang Chern more than expected).
Fields of papers citing papers by I‐Liang Chern
This network shows the impact of papers produced by I‐Liang Chern. 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 I‐Liang Chern. The network helps show where I‐Liang Chern may publish in the future.
Co-authorship network of co-authors of I‐Liang Chern
This figure shows the co-authorship network connecting the top 25 collaborators of I‐Liang Chern. A scholar is included among the top collaborators of I‐Liang Chern based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with I‐Liang Chern. I‐Liang Chern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 6 | |
| 3 | 14 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | Characterization of the ground states of spin-1 Bose-Einstein condensates | 1 |
| 8 | 4 | |
| 9 | 25 | |
| 10 | 109 | |
| 11 | 24 | |
| 12 | 19 | |
| 13 | 14 | |
| 14 | 0 | |
| 15 | 8 | |
| 16 | 47 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 8 | |
| 20 | Front tracking for gas dynamics | 2 |
About I‐Liang Chern
I‐Liang Chern is a scholar working on Applied Mathematics, Mathematical Physics and Numerical Analysis, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (10 papers), Cold Atom Physics and Bose-Einstein Condensates (9 papers) and Advanced Mathematical Physics Problems (9 papers). The work is most often cited by research in Applied Mathematics (241 citations), Computational Mechanics (476 citations) and Mathematical Physics (170 citations). I‐Liang Chern has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Weizhu Bao, Yu‐Chen Shu, Sara Yaniv, Oliver A. McBryan, Bradley J. Plohr, James Glimm, Tai-Ping Liu, Jian‐Guo Liu, Ming‐Chih Lai and Qianshun Chang. Their work appears in journals such as Physical Review B, Journal of Computational Physics and IEEE Transactions on Image Processing.
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.