Chau‐Lyan Chang
- Computational Mechanics top 0.2%
- Aerospace Engineering top 0.5%
- Applied Mathematics top 0.5%
- Atmospheric Science top 10%
- Environmental Engineering top 5%
- Co-authors
- Mujeeb R. MalikMeelan M. ChoudhariC. David PruettFei LiCraig L. StreettM. Yousuff HussainiR. D. JoslinGordon Erlebacher
- Topics
- Computational Fluid Dynamics and Aerodynamics (97 papers)Fluid Dynamics and Turbulent Flows (88 papers)Gas Dynamics and Kinetic Theory (37 papers)
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
Chau‐Lyan Chang
103 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 43
- Computational Mechanics 2.5k
- Aerospace Engineering 1.2k
- Applied Mathematics 703
- Atmospheric Science 231
- Environmental Engineering 218
Countries citing papers authored by Chau‐Lyan Chang
This map shows the geographic impact of Chau‐Lyan Chang'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 Chau‐Lyan Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chau‐Lyan Chang more than expected).
Fields of papers citing papers by Chau‐Lyan Chang
This network shows the impact of papers produced by Chau‐Lyan Chang. 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 Chau‐Lyan Chang. The network helps show where Chau‐Lyan Chang may publish in the future.
Co-authorship network of co-authors of Chau‐Lyan Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Chau‐Lyan Chang. A scholar is included among the top collaborators of Chau‐Lyan Chang 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 Chau‐Lyan Chang. Chau‐Lyan Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 39 | |
| 6 | 1 | |
| 7 | 33 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 14 | |
| 11 | Roughness Based Crossflow Transition Control for a Swept Airfoil Design Relevant to Subsonic Transports | 11 |
| 12 | 86 | |
| 13 | 17 | |
| 14 | 13 | |
| 15 | 13 | |
| 16 | 150 | |
| 17 | 190 | |
| 18 | Linear and nonlinear PSE for compressible boundary layers | 30 |
| 19 | The transition prediction toolkit: LST, SIT, PSE, DNS, and LES | 3 |
| 20 | 0 |
About Chau‐Lyan Chang
Chau‐Lyan Chang is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering, having authored 106 papers that have together received 2.6k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (97 papers), Fluid Dynamics and Turbulent Flows (88 papers) and Gas Dynamics and Kinetic Theory (37 papers). The work is most often cited by research in Computational Mechanics (2.5k citations), Applied Mathematics (703 citations) and Aerospace Engineering (1.2k citations). Chau‐Lyan Chang has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Mujeeb R. Malik, Meelan M. Choudhari, C. David Pruett, Fei Li, Craig L. Streett, Fei Li, M. Yousuff Hussaini, Fei Li, R. D. Joslin and Gordon Erlebacher. Their work appears in journals such as Journal of Fluid Mechanics, Journal of Computational Physics and AIAA Journal.
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.