Pu Sun
Impact in
- Geophysics top 2%
- Geological and Geochemical Analysis
- High-pressure geophysics and materials
- earthquake and tectonic studies
- Geochemistry and Petrology top 5%
- Geochemistry and Elemental Analysis
Papers in
- Geophysics 39
- Geological and Geochemical Analysis 39
- High-pressure geophysics and materials 29
- earthquake and tectonic studies 28
-
- Geochemistry and Elemental Analysis 8
- Co-authors
- Yaoling Niu (40 shared papers)Pengyuan Guo (33 shared papers)Shuo Chen (24 shared papers)Meng Duan (29 shared papers)Hongmei Gong (24 shared papers)Yuanyuan Xiao (15 shared papers)Xiaohong Wang (12 shared papers)Jinju Liu (6 shared papers)
- Journals
- Lithos (10 papers)Geochimica et Cosmochimica Acta (6 papers)Geophysical Research Letters (3 papers)Journal of Petrology (2 papers)Science Bulletin (2 papers)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Pu Sun
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 52
- Geophysics 1.0k
- Geochemistry and Petrology 154
- Geology 111
- Artificial Intelligence 298
- Paleontology 50
Countries citing papers authored by Pu Sun
This map shows the geographic impact of Pu Sun'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 Pu Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Sun more than expected).
Fields of papers citing papers by Pu Sun
This network shows the impact of papers produced by Pu Sun. 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 Pu Sun. The network helps show where Pu Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu Sun, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 146 | |
| 2 | 2017 | 81 | |
| 3 | 2014 | 78 | |
| 4 | 2015 | 73 | |
| 5 | 2021 | 63 | |
| 6 | 2019 | 59 | |
| 7 | 2015 | 59 | |
| 8 | 2019 | 50 | |
| 9 | 2016 | 41 | |
| 10 | 2020 | 39 | |
| 11 | 2021 | 38 | |
| 12 | 2018 | 36 | |
| 13 | 2016 | 29 | |
| 14 | 2020 | 27 | |
| 15 | 2020 | 26 | |
| 16 | 2019 | 24 | |
| 17 | 2016 | 23 | |
| 18 | 2021 | 21 | |
| 19 | 2017 | 20 | |
| 20 | 2022 | 20 |
About Pu Sun
Pu Sun is a scholar working on Geophysics, Geochemistry and Petrology, Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (39 papers), High-pressure geophysics and materials (29 papers), earthquake and tectonic studies (28 papers), Geochemistry and Elemental Analysis (8 papers), Geochemistry and Geologic Mapping (6 papers), Geological and Geophysical Studies (2 papers), Isotope Analysis in Ecology (2 papers) and Geomagnetism and Paleomagnetism Studies (2 papers). The work is most often cited by research in Geophysics (1.0k citations), Geochemistry and Petrology (154 citations), Geology (111 citations), Artificial Intelligence (298 citations) and Paleontology (50 citations). Pu Sun has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Yaoling Niu, Pengyuan Guo, Shuo Chen, Meng Duan, Hongmei Gong, Yuanyuan Xiao, Xiaohong Wang, Jinju Liu, Q. K. Xue and Yu Zhang. Their work appears in journals such as Lithos, Geochimica et Cosmochimica Acta, Geophysical Research Letters, Journal of Petrology and Science Bulletin.
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.