He-Ping Tan
Impact in
- Computational Mechanics top 5%
- Radiative Heat Transfer Studies
- Global and Planetary Change top 5%
- Atmospheric aerosols and clouds
- COVID-19 impact on air quality
Papers in
-
- Radiative Heat Transfer Studies 18
- Lattice Boltzmann Simulation Studies 6
-
- Atmospheric aerosols and clouds 13
- Co-authors
- Yuan Yuan (15 shared papers)Qixiang Chen (12 shared papers)Hong-Liang Yi (11 shared papers)Yong Shuai (8 shared papers)Lu Liu (1 shared paper)Yong Zhang (3 shared papers)Haochun Zhang (3 shared papers)Shikui Dong (3 shared papers)
In The Last Decade
He-Ping Tan
50 papers receiving 839 citations
Peers
Comparison fields: 5 of 83
- Computational Mechanics 314
- Global and Planetary Change 314
- Atmospheric Science 208
- Environmental Engineering 164
- Health, Toxicology and Mutagenesis 139
Countries citing papers authored by He-Ping Tan
This map shows the geographic impact of He-Ping Tan'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 He-Ping Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He-Ping Tan more than expected).
Fields of papers citing papers by He-Ping Tan
This network shows the impact of papers produced by He-Ping Tan. 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 He-Ping Tan. The network helps show where He-Ping Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside He-Ping Tan, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 85 | |
| 2 | 2011 | 44 | |
| 3 | 2001 | 44 | |
| 4 | 2016 | 41 | |
| 5 | 2011 | 38 | |
| 6 | 2002 | 37 | |
| 7 | 2018 | 35 | |
| 8 | 1999 | 34 | |
| 9 | 2020 | 33 | |
| 10 | 2004 | 29 | |
| 11 | 2018 | 28 | |
| 12 | 2017 | 26 | |
| 13 | 2021 | 24 | |
| 14 | 2014 | 24 | |
| 15 | 2013 | 24 | |
| 16 | 2015 | 24 | |
| 17 | 2019 | 23 | |
| 18 | 2023 | 22 | |
| 19 | 2013 | 21 | |
| 20 | 2020 | 20 |
About He-Ping Tan
He-Ping Tan is a scholar working on Computational Mechanics, Global and Planetary Change, Aerospace Engineering, Atmospheric Science and Mathematical Physics, having authored 51 papers that have together received 873 indexed citations. Recurring topics across this work include Radiative Heat Transfer Studies (18 papers), Atmospheric aerosols and clouds (13 papers), Atmospheric chemistry and aerosols (9 papers), Numerical methods in inverse problems (8 papers), Calibration and Measurement Techniques (7 papers), Lattice Boltzmann Simulation Studies (6 papers), Atmospheric Ozone and Climate (5 papers) and Air Quality and Health Impacts (5 papers). The work is most often cited by research in Computational Mechanics (314 citations), Global and Planetary Change (314 citations), Atmospheric Science (208 citations), Environmental Engineering (164 citations) and Health, Toxicology and Mutagenesis (139 citations). He-Ping Tan has collaborated with scholars based in China, Mongolia and Hong Kong. Frequent co-authors include Yuan Yuan, Qixiang Chen, Hong-Liang Yi, Yong Shuai, Lu Liu, Yong Zhang, Haochun Zhang, Shikui Dong, Yu Ma and Li-Ming Ruan. Their work appears in journals such as Numerical Heat Transfer Part A Applications, Atmospheric Environment, Journal of Quantitative Spectroscopy and Radiative Transfer, Atmospheric Research and Atmosphere.
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.