Pan Wang
Impact in
- Fluid Flow and Transfer Processes top 0.2%
- Advanced Combustion Engine Technologies
- Automotive Engineering top 1%
- Vehicle emissions and performance
Papers in
-
- Advanced Combustion Engine Technologies 27
-
- Vehicle emissions and performance 21
- Co-authors
- Chunde Yao (9 shared papers)Guopeng Han (6 shared papers)Lijiang Wei (5 shared papers)Quangang Wang (5 shared papers)Junheng Liu (9 shared papers)Hongyuan Wei (4 shared papers)Leigang Zhang (2 shared papers)Zhichao Wu (5 shared papers)
- Journals
- Fuel (15 papers)Energy (5 papers)Chemical Engineering Journal (4 papers)Desalination (3 papers)Thermal Science and Engineering Progress (3 papers)
- Partner nations
- ChinaUnited KingdomSaudi Arabia
In The Last Decade
Pan Wang
91 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 134
- Fluid Flow and Transfer Processes 1.5k
- Automotive Engineering 860
- Biomedical Engineering 1.1k
- Materials Chemistry 1.1k
- Water Science and Technology 327
Countries citing papers authored by Pan Wang
This map shows the geographic impact of Pan 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 Pan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Wang more than expected).
Fields of papers citing papers by Pan Wang
This network shows the impact of papers produced by Pan 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 Pan Wang. The network helps show where Pan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan 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
Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 256 | |
| 2 | 2015 | 178 | |
| 3 | 2014 | 162 | |
| 4 | 2015 | 157 | |
| 5 | 2017 | 142 | |
| 6 | 2014 | 132 | |
| 7 | 2016 | 125 | |
| 8 | 2011 | 120 | |
| 9 | 2014 | 118 | |
| 10 | 2010 | 101 | |
| 11 | 2020 | 101 | |
| 12 | 2022 | 79 | |
| 13 | 2020 | 76 | |
| 14 | 2021 | 57 | |
| 15 | 2018 | 54 | |
| 16 | 2011 | 53 | |
| 17 | 2015 | 53 | |
| 18 | 2019 | 52 | |
| 19 | 2018 | 52 | |
| 20 | 2010 | 52 |
About Pan Wang
Pan Wang is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering, Catalysis, Materials Chemistry and Water Science and Technology, having authored 95 papers that have together received 3.3k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (38 papers), Advanced Combustion Engine Technologies (27 papers), Vehicle emissions and performance (21 papers), Catalysis and Oxidation Reactions (12 papers), Biodiesel Production and Applications (11 papers), Dementia and Cognitive Impairment Research (6 papers), Membrane Separation Technologies (6 papers) and Functional Brain Connectivity Studies (6 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (1.5k citations), Automotive Engineering (860 citations), Biomedical Engineering (1.1k citations), Materials Chemistry (1.1k citations) and Water Science and Technology (327 citations). Pan Wang has collaborated with scholars based in China, United Kingdom and Saudi Arabia. Frequent co-authors include Chunde Yao, Guopeng Han, Lijiang Wei, Quangang Wang, Junheng Liu, Hongyuan Wei, Leigang Zhang, Zhichao Wu, Zhiwei Wang and Anren Yao. Their work appears in journals such as Fuel, Energy, Chemical Engineering Journal, Desalination and Thermal Science and Engineering Progress.
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.