Changlei Fu
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 44
- Geological and Geochemical Analysis 44
- earthquake and tectonic studies 18
- High-pressure geophysics and materials 16
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- Geochemistry and Geologic Mapping 29
- Co-authors
- Zhen Yan (39 shared papers)Jonathan C. Aitchison (23 shared papers)Manlan Niu (16 shared papers)Xianqing Guo (14 shared papers)Zongqi Wang (9 shared papers)Solomon Buckman (13 shared papers)Bo Cao (6 shared papers)Xiucai Li (9 shared papers)
In The Last Decade
Changlei Fu
44 papers receiving 983 citations
Peers
Comparison fields: 5 of 24
- Geophysics 983
- Geochemistry and Petrology 186
- Artificial Intelligence 603
- Paleontology 92
- Geology 62
Countries citing papers authored by Changlei Fu
This map shows the geographic impact of Changlei Fu'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 Changlei Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changlei Fu more than expected).
Fields of papers citing papers by Changlei Fu
This network shows the impact of papers produced by Changlei Fu. 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 Changlei Fu. The network helps show where Changlei Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Changlei Fu, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 134 | |
| 2 | 2018 | 101 | |
| 3 | 2019 | 74 | |
| 4 | 2012 | 57 | |
| 5 | 2019 | 57 | |
| 6 | 2018 | 51 | |
| 7 | 2014 | 48 | |
| 8 | 2016 | 44 | |
| 9 | 2015 | 44 | |
| 10 | 2020 | 43 | |
| 11 | 2018 | 41 | |
| 12 | 2018 | 30 | |
| 13 | 2021 | 25 | |
| 14 | Geochemistry and SHRIMP zircon U-Pb age of diabases in the Lajishankou ophiolitic melange,South Qilian terrane | 2014 | 23 |
| 15 | 2021 | 23 | |
| 16 | 2019 | 21 | |
| 17 | 2020 | 21 | |
| 18 | 2018 | 19 | |
| 19 | 2020 | 18 | |
| 20 | 2022 | 16 |
About Changlei Fu
Changlei Fu is a scholar working on Geophysics, Artificial Intelligence, Geochemistry and Petrology, Paleontology and Geology, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (44 papers), Geochemistry and Geologic Mapping (29 papers), earthquake and tectonic studies (18 papers), High-pressure geophysics and materials (16 papers), Geochemistry and Elemental Analysis (16 papers), Paleontology and Stratigraphy of Fossils (7 papers), Geological and Geophysical Studies (3 papers) and Geochemistry and Geochronology of Asian Mineral Deposits (3 papers). The work is most often cited by research in Geophysics (983 citations), Geochemistry and Petrology (186 citations), Artificial Intelligence (603 citations), Paleontology (92 citations) and Geology (62 citations). Changlei Fu has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Zhen Yan, Jonathan C. Aitchison, Manlan Niu, Xianqing Guo, Zongqi Wang, Solomon Buckman, Bo Cao, Xiucai Li, Jiliang Li and Bingzhang Wang. Their work appears in journals such as Geological Society of America Bulletin, Journal of Asian Earth Sciences, Tectonics, Gondwana Research and Journal of the Geological Society.
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.