Li-Chuan Pan
Impact in
- Geophysics top 5%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Geochemistry and Petrology top 10%
- Geochemistry and Elemental Analysis
- Mineralogy and Gemology Studies
Papers in ⓘ
- Geophysics 21
- Geological and Geochemical Analysis 21
- High-pressure geophysics and materials 13
- earthquake and tectonic studies 12
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- Geochemistry and Geologic Mapping 14
- Co-authors
- Xian‐Wu Bi (11 shared papers)Ruizhong Hu (10 shared papers)Jing-Jing Zhu (8 shared papers)Xin‐Song Wang (6 shared papers)Chusi Li (2 shared papers)Youwei Chen (3 shared papers)Cheng‐Biao Leng (2 shared papers)Ming‐Liang Huang (6 shared papers)
- Journals
- Ore Geology Reviews (6 papers)Lithos (4 papers)Mineralium Deposita (2 papers)American Mineralogist (2 papers)Lithosphere (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Li-Chuan Pan
20 papers receiving 408 citations
Peers
Comparison fields: 5 of 30
- Geophysics 394
- Geochemistry and Petrology 53
- Artificial Intelligence 273
- Geology 9
- Paleontology 10
Countries citing papers authored by Li-Chuan Pan
This map shows the geographic impact of Li-Chuan 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 Li-Chuan Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Chuan Pan more than expected).
Fields of papers citing papers by Li-Chuan Pan
This network shows the impact of papers produced by Li-Chuan 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 Li-Chuan Pan. The network helps show where Li-Chuan Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Li-Chuan 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 153 | |
| 2 | 2014 | 74 | |
| 3 | 2018 | 49 | |
| 4 | 2022 | 24 | |
| 5 | 2022 | 17 | |
| 6 | 2020 | 17 | |
| 7 | 2021 | 16 | |
| 8 | 2022 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2019 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Li-Chuan Pan
Li-Chuan Pan is a scholar working on Geophysics, Artificial Intelligence, Paleontology, Geochemistry and Petrology and Mechanical Engineering, having authored 21 papers that have together received 417 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (21 papers), Geochemistry and Geologic Mapping (14 papers), High-pressure geophysics and materials (13 papers), earthquake and tectonic studies (12 papers), Geochemistry and Elemental Analysis (1 paper), Paleontology and Stratigraphy of Fossils (1 paper) and Mineral Processing and Grinding (1 paper). The work is most often cited by research in Geophysics (394 citations), Geochemistry and Petrology (53 citations), Artificial Intelligence (273 citations), Geology (9 citations) and Paleontology (10 citations). Li-Chuan Pan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xian‐Wu Bi, Ruizhong Hu, Jing-Jing Zhu, Xin‐Song Wang, Chusi Li, Youwei Chen, Cheng‐Biao Leng, Ming‐Liang Huang, Lei-Luo Xu and Jun Yan. Their work appears in journals such as Ore Geology Reviews, Lithos, Mineralium Deposita, American Mineralogist and Lithosphere.
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.