Qing-He Yan
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
Papers in
- Geophysics 23
- Geological and Geochemical Analysis 23
- earthquake and tectonic studies 17
- High-pressure geophysics and materials 10
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- Geochemistry and Geologic Mapping 12
- Co-authors
- He Wang (8 shared papers)Xiaoyu Zhang (5 shared papers)Rui Dong (8 shared papers)Guoxiang Chi (5 shared papers)Pei Li (2 shared papers)Rongqing Zhang (2 shared papers)Shasha Li (3 shared papers)Min Wang (2 shared papers)
In The Last Decade
Qing-He Yan
24 papers receiving 437 citations
Peers
Comparison fields: 5 of 35
- Geophysics 437
- Geochemistry and Petrology 74
- Artificial Intelligence 266
- Geology 12
- Paleontology 11
Countries citing papers authored by Qing-He Yan
This map shows the geographic impact of Qing-He Yan'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 Qing-He Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing-He Yan more than expected).
Fields of papers citing papers by Qing-He Yan
This network shows the impact of papers produced by Qing-He Yan. 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 Qing-He Yan. The network helps show where Qing-He Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing-He Yan, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 90 | |
| 2 | 2016 | 59 | |
| 3 | 2021 | 58 | |
| 4 | 2020 | 58 | |
| 5 | 2017 | 37 | |
| 6 | 2016 | 31 | |
| 7 | 2017 | 31 | |
| 8 | 2022 | 23 | |
| 9 | 2020 | 16 | |
| 10 | 2021 | 15 | |
| 11 | 2020 | 13 | |
| 12 | 2022 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2023 | 2 |
About Qing-He Yan
Qing-He Yan is a scholar working on Geophysics, Artificial Intelligence, Economics and Econometrics, Geochemistry and Petrology and Paleontology, having authored 28 papers that have together received 475 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (23 papers), earthquake and tectonic studies (17 papers), Geochemistry and Geologic Mapping (12 papers), High-pressure geophysics and materials (10 papers), Geochemistry and Geochronology of Asian Mineral Deposits (5 papers), Geochemistry and Elemental Analysis (3 papers), Paleontology and Stratigraphy of Fossils (2 papers) and Advanced Condensed Matter Physics (1 paper). The work is most often cited by research in Geophysics (437 citations), Geochemistry and Petrology (74 citations), Artificial Intelligence (266 citations), Geology (12 citations) and Paleontology (11 citations). Qing-He Yan has collaborated with scholars based in China, Canada and Italy. Frequent co-authors include He Wang, Xiaoyu Zhang, He Wang, Rui Dong, Guoxiang Chi, Pei Li, Rongqing Zhang, Shasha Li, Min Wang and Congying Li. Their work appears in journals such as Ore Geology Reviews, Lithos, Journal of Asian Earth Sciences, Mineralium Deposita and Journal of Petrology.
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.