Feng Ding
Impact in
- Geophysics top 5%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Artificial Intelligence top 5%
- Geochemistry and Geologic Mapping
Papers in
- Geophysics 13
- Geological and Geochemical Analysis 12
- earthquake and tectonic studies 6
- High-pressure geophysics and materials 2
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- Geochemistry and Geologic Mapping 10
- Co-authors
- Xinghai Lang (4 shared papers)Fuwei Xie (4 shared papers)Yong Huang (4 shared papers)Zhijun Li (4 shared papers)Juxing Tang (4 shared papers)Qin Wang (2 shared papers)Huanhuan Yang (2 shared papers)Li Zhang (2 shared papers)
In The Last Decade
Feng Ding
19 papers receiving 325 citations
Peers
Comparison fields: 5 of 37
- Geophysics 305
- Artificial Intelligence 221
- Geochemistry and Petrology 30
- Geology 10
- Chemical Health and Safety 1
Countries citing papers authored by Feng Ding
This map shows the geographic impact of Feng Ding'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 Feng Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Ding more than expected).
Fields of papers citing papers by Feng Ding
This network shows the impact of papers produced by Feng Ding. 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 Feng Ding. The network helps show where Feng Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Ding, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 117 | |
| 2 | 2015 | 113 | |
| 3 | 2020 | 44 | |
| 4 | 2017 | 15 | |
| 5 | 2011 | 8 | |
| 6 | 2022 | 8 | |
| 7 | 2019 | 7 | |
| 8 | 2020 | 7 | |
| 9 | 2018 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2019 | 4 | |
| 12 | 2010 | 4 | |
| 13 | 2010 | 4 | |
| 14 | 2012 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2011 | 1 | |
| 19 | 2010 | 1 | |
| 20 | 2025 | 0 |
About Feng Ding
Feng Ding is a scholar working on Geophysics, Artificial Intelligence, Geochemistry and Petrology, Atmospheric Science and Global and Planetary Change, having authored 22 papers that have together received 354 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (12 papers), Geochemistry and Geologic Mapping (10 papers), earthquake and tectonic studies (6 papers), Geochemistry and Elemental Analysis (4 papers), Atmospheric and Environmental Gas Dynamics (3 papers), High-pressure geophysics and materials (2 papers), Hydrocarbon exploration and reservoir analysis (2 papers) and Atmospheric chemistry and aerosols (2 papers). The work is most often cited by research in Geophysics (305 citations), Artificial Intelligence (221 citations), Geochemistry and Petrology (30 citations), Geology (10 citations) and Chemical Health and Safety (1 citation). Feng Ding has collaborated with scholars based in China, Israel and Australia. Frequent co-authors include Xinghai Lang, Fuwei Xie, Yong Huang, Zhijun Li, Juxing Tang, Qin Wang, Huanhuan Yang, Li Zhang, Yun Zhou and Qing Yin. Their work appears in journals such as Ore Geology Reviews, Earth system science data, Atmospheric Pollution Research, Journal of Asian Earth Sciences and Tectonics.
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.