Jun Tan
Impact in
- Geophysics top 5%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Artificial Intelligence top 5%
- Geochemistry and Geologic Mapping
Papers in
- Geophysics 23
- Geological and Geochemical Analysis 23
- earthquake and tectonic studies 17
- High-pressure geophysics and materials 11
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- Geochemistry and Geologic Mapping 15
- Co-authors
- Junhao Wei (20 shared papers)Lebing Fu (12 shared papers)Andreas Audétat (1 shared paper)Thomas Pettke (1 shared paper)Yanjun Li (10 shared papers)Shaoqing Zhao (6 shared papers)Huan Li (3 shared papers)Wenjie Shi (5 shared papers)
- Journals
- Lithos (4 papers)Ore Geology Reviews (4 papers)Mineralium Deposita (2 papers)International Geology Review (2 papers)Geological Magazine (1 paper)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Jun Tan
23 papers receiving 541 citations
Peers
Comparison fields: 5 of 22
- Geophysics 547
- Artificial Intelligence 417
- Geochemistry and Petrology 73
- Geology 11
- Paleontology 13
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 90 | |
| 2 | 2017 | 77 | |
| 3 | 2008 | 51 | |
| 4 | 2017 | 47 | |
| 5 | 2016 | 45 | |
| 6 | 2012 | 37 | |
| 7 | 2014 | 32 | |
| 8 | 2011 | 29 | |
| 9 | 2007 | 26 | |
| 10 | 2019 | 22 | |
| 11 | 2011 | 18 | |
| 12 | 2019 | 15 | |
| 13 | 2012 | 15 | |
| 14 | 2019 | 14 | |
| 15 | 2013 | 13 | |
| 16 | 2007 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2009 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2011 | 4 |
About Jun Tan
Jun Tan is a scholar working on Geophysics, Artificial Intelligence, Geochemistry and Petrology, Molecular Biology and Infectious Diseases, having authored 23 papers that have together received 569 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (23 papers), earthquake and tectonic studies (17 papers), Geochemistry and Geologic Mapping (15 papers), High-pressure geophysics and materials (11 papers), Geochemistry and Elemental Analysis (2 papers) and Geomagnetism and Paleomagnetism Studies (1 paper). The work is most often cited by research in Geophysics (547 citations), Artificial Intelligence (417 citations), Geochemistry and Petrology (73 citations), Geology (11 citations) and Paleontology (13 citations). Jun Tan has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Junhao Wei, Lebing Fu, Andreas Audétat, Thomas Pettke, Yanjun Li, Shaoqing Zhao, Huan Li, Wenjie Shi, Huayong Chen and Jiajie Chen. Their work appears in journals such as Lithos, Ore Geology Reviews, Mineralium Deposita, International Geology Review and Geological Magazine.
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.