Hai Wang
- Fluid Flow and Transfer Processes top 0.01%
- Advanced Combustion Engine Technologies 126
- Computational Mechanics top 0.01%
- Combustion and flame dynamics 100
- Heat transfer and supercritical fluids 25
- Atmospheric Science top 0.2%
- Atmospheric chemistry and aerosols 52
- Catalysis top 1%
- Automotive Engineering top 0.2%
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- Combustion and Detonation Processes 38
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- Catalytic Processes in Materials Science 37
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- Advanced Chemical Physics Studies 31
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- Esophageal Cancer Research and Treatment 14
- Co-authors
- Michael FrenklachFokion N. EgolfopoulosDavid A. SheenScott G. DavisChung K. LawAlexander LaskinAmeya JoshiL. E. Cross
- Journals
- Combustion and Flame (71 papers)Proceedings of the Combustion Institute (50 papers)The Journal of Physical Chemistry A (13 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Hai Wang
415 papers receiving 21.5k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Fluid Flow and Transfer Processes 11.4k
- Computational Mechanics 9.2k
- Atmospheric Science 4.3k
- Catalysis 1.1k
- Automotive Engineering 1.6k
Countries citing papers authored by Hai Wang
This map shows the geographic impact of Hai Wang'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 Hai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Wang more than expected).
Fields of papers citing papers by Hai Wang
This network shows the impact of papers produced by Hai Wang. 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 Hai Wang. The network helps show where Hai Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hai Wang, 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 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 13 | |
| 15 | 2023 | 14 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 9 | |
| 18 | 2023 | 7 | |
| 19 | 2021 | 70 | |
| 20 | 2015 | 129 |
About Hai Wang
Hai Wang is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Atmospheric Science, Catalysis and Aerospace Engineering, having authored 428 papers that have together received 22.0k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (126 papers), Combustion and flame dynamics (100 papers), Atmospheric chemistry and aerosols (52 papers), Combustion and Detonation Processes (38 papers), Catalytic Processes in Materials Science (37 papers), Advanced Chemical Physics Studies (31 papers), Heat transfer and supercritical fluids (25 papers) and Esophageal Cancer Research and Treatment (14 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (11.4k citations), Computational Mechanics (9.2k citations), Atmospheric Science (4.3k citations), Catalysis (1.1k citations) and Automotive Engineering (1.6k citations). Hai Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Michael Frenklach, Fokion N. Egolfopoulos, David A. Sheen, Scott G. Davis, Chung K. Law, Alexander Laskin, Ameya Joshi, L. E. Cross, Bin Zhao and Joaquin Camacho. Their work appears in journals such as Combustion and Flame, Proceedings of the Combustion Institute, The Journal of Physical Chemistry A, The Journal of Physical Chemistry C and Journal of Applied 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.