Jun–Yi Pan
Impact in
- Geophysics top 1%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Artificial Intelligence top 1%
- Geochemistry and Geologic Mapping
Papers in
- Geophysics 58
- Geological and Geochemical Analysis 58
- earthquake and tectonic studies 39
- High-pressure geophysics and materials 12
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- Geochemistry and Geologic Mapping 49
- Co-authors
- Pei Ni (55 shared papers)Guo‐Guang Wang (22 shared papers)Jun‐Ying Ding (27 shared papers)Wensheng Li (21 shared papers)Zhe Chi (14 shared papers)Rucheng Wang (1 shared paper)Lili Chen (6 shared papers)Liang Han (10 shared papers)
In The Last Decade
Jun–Yi Pan
68 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 56
- Geophysics 1.2k
- Artificial Intelligence 981
- Geochemistry and Petrology 141
- Geology 23
- Mechanics of Materials 100
Countries citing papers authored by Jun–Yi Pan
This map shows the geographic impact of Jun–Yi Pan'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–Yi Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun–Yi Pan more than expected).
Fields of papers citing papers by Jun–Yi Pan
This network shows the impact of papers produced by Jun–Yi Pan. 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–Yi Pan. The network helps show where Jun–Yi Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun–Yi Pan, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 124 | |
| 2 | 2019 | 97 | |
| 3 | 2014 | 85 | |
| 4 | 2023 | 81 | |
| 5 | 2015 | 74 | |
| 6 | 1996 | 60 | |
| 7 | 2019 | 57 | |
| 8 | 2017 | 48 | |
| 9 | 2020 | 46 | |
| 10 | 2018 | 44 | |
| 11 | 2016 | 43 | |
| 12 | 2022 | 43 | |
| 13 | 2018 | 41 | |
| 14 | 2019 | 40 | |
| 15 | 2023 | 32 | |
| 16 | 2015 | 30 | |
| 17 | 2023 | 26 | |
| 18 | 2016 | 26 | |
| 19 | 2021 | 24 | |
| 20 | 2016 | 22 |
About Jun–Yi Pan
Jun–Yi Pan is a scholar working on Geophysics, Artificial Intelligence, Mechanics of Materials, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (58 papers), Geochemistry and Geologic Mapping (49 papers), earthquake and tectonic studies (39 papers), High-pressure geophysics and materials (12 papers), Hydrocarbon exploration and reservoir analysis (7 papers), Semiconductor Quantum Structures and Devices (5 papers), Semiconductor materials and interfaces (4 papers) and Geochemistry and Elemental Analysis (4 papers). The work is most often cited by research in Geophysics (1.2k citations), Artificial Intelligence (981 citations), Geochemistry and Petrology (141 citations), Geology (23 citations) and Mechanics of Materials (100 citations). Jun–Yi Pan has collaborated with scholars based in China, Taiwan and Italy. Frequent co-authors include Pei Ni, Guo‐Guang Wang, Jun‐Ying Ding, Wensheng Li, Zhe Chi, Rucheng Wang, Lili Chen, Liang Han, Ying-Feng Xu and Ming-Sen Fan. Their work appears in journals such as Ore Geology Reviews, Journal of Geochemical Exploration, Journal of Asian Earth Sciences, Geochemistry Exploration Environment Analysis and Journal of Applied Physics.
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.