Chung K. Law
- Computational Mechanics top 0.01%
- Fluid Flow and Transfer Processes top 0.01%
- Aerospace Engineering top 0.01%
- Safety, Risk, Reliability and Quality top 0.01%
- Biomedical Engineering top 0.5%
- Co-authors
- Tianfeng LuChih‐Jen SungGrunde JomaasScott G. DavisFokion N. EgolfopoulosSuk Ho ChungHai WangJ. Qian
- Topics
- Combustion and flame dynamics (434 papers)Advanced Combustion Engine Technologies (318 papers)Combustion and Detonation Processes (244 papers)
- Cited by
- Fluid Flow and Transfer ProcessesComputational MechanicsSafety, Risk, Reliability and Quality
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersThe Journal of Chemical Physics
- Partner nations
- United StatesChinaJapan
In The Last Decade
Chung K. Law
618 papers receiving 29.2k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Computational Mechanics 23.8k
- Fluid Flow and Transfer Processes 19.9k
- Aerospace Engineering 11.6k
- Safety, Risk, Reliability and Quality 4.7k
- Biomedical Engineering 4.0k
Countries citing papers authored by Chung K. Law
This map shows the geographic impact of Chung K. Law'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 Chung K. Law with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung K. Law more than expected).
Fields of papers citing papers by Chung K. Law
This network shows the impact of papers produced by Chung K. Law. 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 Chung K. Law. The network helps show where Chung K. Law may publish in the future.
Co-authorship network of co-authors of Chung K. Law
This figure shows the co-authorship network connecting the top 25 collaborators of Chung K. Law. A scholar is included among the top collaborators of Chung K. Law 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 Chung K. Law. Chung K. Law is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 14 | |
| 14 | 4 | |
| 15 | 8 | |
| 16 | 40 | |
| 17 | Advances and challenges in experimental research of combustion chemistry in laminar flames. | 1 |
| 18 | 19 | |
| 19 | 14 | |
| 20 | 14 |
About Chung K. Law
Chung K. Law is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Aerospace Engineering, having authored 631 papers that have together received 30.1k indexed citations. Recurring topics across this work include Combustion and flame dynamics (434 papers), Advanced Combustion Engine Technologies (318 papers) and Combustion and Detonation Processes (244 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (19.9k citations), Computational Mechanics (23.8k citations) and Safety, Risk, Reliability and Quality (4.7k citations). Chung K. Law has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Tianfeng Lu, Chih‐Jen Sung, Grunde Jomaas, Scott G. Davis, Fokion N. Egolfopoulos, Suk Ho Chung, Hai Wang, J. Qian, Andrew Kelley and Daniel Zhu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.
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.