Lebing Fu
Impact in
- Geophysics top 2%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Artificial Intelligence top 2%
- Geochemistry and Geologic Mapping
Papers in
- Geophysics 33
- Geological and Geochemical Analysis 33
- High-pressure geophysics and materials 22
- earthquake and tectonic studies 21
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- Geochemistry and Geologic Mapping 17
- Co-authors
- Junhao Wei (30 shared papers)Jun Tan (12 shared papers)Xu Zhao (12 shared papers)Jiajie Chen (14 shared papers)M. Santosh (8 shared papers)Shaoqing Zhao (6 shared papers)Huan Li (6 shared papers)Yanjun Li (9 shared papers)
- Journals
- Lithos (7 papers)Ore Geology Reviews (5 papers)Geological Society of America Bulletin (3 papers)Geological Magazine (2 papers)Mineralium Deposita (2 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Lebing Fu
34 papers receiving 758 citations
Peers
Comparison fields: 5 of 23
- Geophysics 785
- Artificial Intelligence 573
- Geochemistry and Petrology 86
- Geology 18
- Paleontology 17
Countries citing papers authored by Lebing Fu
This map shows the geographic impact of Lebing 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 Lebing Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lebing Fu more than expected).
Fields of papers citing papers by Lebing Fu
This network shows the impact of papers produced by Lebing 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 Lebing Fu. The network helps show where Lebing Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lebing 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 77 | |
| 2 | 2019 | 51 | |
| 3 | 2019 | 50 | |
| 4 | 2017 | 47 | |
| 5 | 2020 | 46 | |
| 6 | 2016 | 45 | |
| 7 | 2017 | 42 | |
| 8 | 2012 | 37 | |
| 9 | 2014 | 32 | |
| 10 | 2017 | 31 | |
| 11 | 2011 | 29 | |
| 12 | 2014 | 25 | |
| 13 | 2017 | 25 | |
| 14 | 2013 | 25 | |
| 15 | 2019 | 23 | |
| 16 | 2020 | 22 | |
| 17 | 2019 | 22 | |
| 18 | 2022 | 20 | |
| 19 | 2022 | 19 | |
| 20 | 2011 | 18 |
About Lebing Fu
Lebing Fu is a scholar working on Geophysics, Artificial Intelligence, Geochemistry and Petrology, Mechanics of Materials and Economics and Econometrics, having authored 36 papers that have together received 803 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (33 papers), High-pressure geophysics and materials (22 papers), earthquake and tectonic studies (21 papers), Geochemistry and Geologic Mapping (17 papers), Geochemistry and Elemental Analysis (4 papers), Geological Studies and Exploration (2 papers), Geochemistry and Geochronology of Asian Mineral Deposits (2 papers) and Geotechnical and Geomechanical Engineering (1 paper). The work is most often cited by research in Geophysics (785 citations), Artificial Intelligence (573 citations), Geochemistry and Petrology (86 citations), Geology (18 citations) and Paleontology (17 citations). Lebing Fu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Junhao Wei, Jun Tan, Xu Zhao, Jiajie Chen, M. Santosh, Shaoqing Zhao, Huan Li, Yanjun Li, Daohan Zhang and Wenjie Shi. Their work appears in journals such as Lithos, Ore Geology Reviews, Geological Society of America Bulletin, Geological Magazine and Mineralium Deposita.
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.