Jun Tan
Impact in
- Mathematical Physics top 10%
- Numerical methods in inverse problems
- Computational Mechanics top 5%
- Radiative Heat Transfer Studies
Papers in
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- Radiative Heat Transfer Studies 11
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- Extraction and Separation Processes 7
- Co-authors
- L.H. Liu (4 shared papers)L. H. Liu (5 shared papers)Huiping Hu (7 shared papers)Junming Zhao (6 shared papers)Qiyuan Chen (4 shared papers)Li Zhang (3 shared papers)Jiugang Hu (10 shared papers)Pei‐feng Hsu (1 shared paper)
- Journals
- Journal of Quantitative Spectroscopy and Radiative Transfer (4 papers)Hydrometallurgy (3 papers)Numerical Heat Transfer Part B Fundamentals (3 papers)Separation and Purification Technology (2 papers)Chinese Journal of Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Tan
38 papers receiving 546 citations
Peers
Comparison fields: 5 of 75
- Mathematical Physics 101
- Computational Mechanics 209
- Acoustics and Ultrasonics 6
- Environmental Engineering 70
- Mechanical Engineering 176
Countries citing papers authored by Jun Tan
This map shows the geographic impact of Jun 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 Jun Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tan more than expected).
Fields of papers citing papers by Jun Tan
This network shows the impact of papers produced by Jun 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 Jun Tan. The network helps show where Jun Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 50 | |
| 2 | 2011 | 42 | |
| 3 | 2009 | 40 | |
| 4 | 2006 | 40 | |
| 5 | 2006 | 37 | |
| 6 | 2016 | 36 | |
| 7 | 2009 | 31 | |
| 8 | 2012 | 28 | |
| 9 | 2010 | 27 | |
| 10 | 2009 | 22 | |
| 11 | 2022 | 20 | |
| 12 | 2009 | 20 | |
| 13 | 2020 | 19 | |
| 14 | 2006 | 19 | |
| 15 | 2009 | 18 | |
| 16 | 2010 | 14 | |
| 17 | 2023 | 12 | |
| 18 | 2018 | 10 | |
| 19 | 2006 | 10 | |
| 20 | 2012 | 8 |
About Jun Tan
Jun Tan is a scholar working on Computational Mechanics, Mechanical Engineering, Biomedical Engineering, Mathematical Physics and Water Science and Technology, having authored 42 papers that have together received 561 indexed citations. Recurring topics across this work include Radiative Heat Transfer Studies (11 papers), Numerical methods in inverse problems (9 papers), Metal Extraction and Bioleaching (7 papers), Extraction and Separation Processes (7 papers), Minerals Flotation and Separation Techniques (6 papers), Thermal Radiation and Cooling Technologies (5 papers), Data Mining Algorithms and Applications (5 papers) and Rough Sets and Fuzzy Logic (5 papers). The work is most often cited by research in Mathematical Physics (101 citations), Computational Mechanics (209 citations), Acoustics and Ultrasonics (6 citations), Environmental Engineering (70 citations) and Mechanical Engineering (176 citations). Jun Tan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include L.H. Liu, L. H. Liu, Huiping Hu, Junming Zhao, Qiyuan Chen, Li Zhang, Jiugang Hu, Pei‐feng Hsu, Kuixing Ding and Lanxin Ma. Their work appears in journals such as Journal of Quantitative Spectroscopy and Radiative Transfer, Hydrometallurgy, Numerical Heat Transfer Part B Fundamentals, Separation and Purification Technology and Chinese Journal of Chemistry.
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.