Jun‐Ying Ding
Impact in
- Geophysics top 2%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Geochemistry and Petrology top 5%
- Geochemistry and Elemental Analysis
Papers in
- Geophysics 47
- Geological and Geochemical Analysis 47
- earthquake and tectonic studies 33
- High-pressure geophysics and materials 9
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- Geochemistry and Geologic Mapping 39
- Co-authors
- Pei Ni (47 shared papers)Guo‐Guang Wang (24 shared papers)Jun–Yi Pan (27 shared papers)Zhe Chi (13 shared papers)Wensheng Li (15 shared papers)Chao Zhao (3 shared papers)Kui-Dong Zhao (3 shared papers)Suning Li (10 shared papers)
In The Last Decade
Jun‐Ying Ding
63 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Geophysics 792
- Geochemistry and Petrology 117
- Artificial Intelligence 644
- Biomaterials 53
- Water Science and Technology 52
Countries citing papers authored by Jun‐Ying Ding
This map shows the geographic impact of Jun‐Ying 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 Jun‐Ying Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Ying Ding more than expected).
Fields of papers citing papers by Jun‐Ying Ding
This network shows the impact of papers produced by Jun‐Ying 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 Jun‐Ying Ding. The network helps show where Jun‐Ying Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Ying 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 76 | |
| 2 | 2013 | 75 | |
| 3 | 2018 | 49 | |
| 4 | 2017 | 48 | |
| 5 | 2016 | 43 | |
| 6 | 2014 | 43 | |
| 7 | 2018 | 41 | |
| 8 | 2023 | 41 | |
| 9 | 2018 | 41 | |
| 10 | 2018 | 35 | |
| 11 | 2014 | 32 | |
| 12 | 2011 | 32 | |
| 13 | 2014 | 32 | |
| 14 | 2016 | 31 | |
| 15 | 2014 | 30 | |
| 16 | 2018 | 29 | |
| 17 | 2024 | 26 | |
| 18 | 2023 | 26 | |
| 19 | 2006 | 26 | |
| 20 | 2020 | 25 |
About Jun‐Ying Ding
Jun‐Ying Ding is a scholar working on Geophysics, Artificial Intelligence, Biomedical Engineering, Mechanics of Materials and Geochemistry and Petrology, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (47 papers), Geochemistry and Geologic Mapping (39 papers), earthquake and tectonic studies (33 papers), High-pressure geophysics and materials (9 papers), Nanoplatforms for cancer theranostics (6 papers), Hydrocarbon exploration and reservoir analysis (4 papers), Photodynamic Therapy Research Studies (3 papers) and Geochemistry and Geochronology of Asian Mineral Deposits (3 papers). The work is most often cited by research in Geophysics (792 citations), Geochemistry and Petrology (117 citations), Artificial Intelligence (644 citations), Biomaterials (53 citations) and Water Science and Technology (52 citations). Jun‐Ying Ding has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Pei Ni, Guo‐Guang Wang, Jun–Yi Pan, Zhe Chi, Wensheng Li, Chao Zhao, Kui-Dong Zhao, Suning Li, Yuanfeng Cai and Tan Bao. Their work appears in journals such as Ore Geology Reviews, Journal of Geochemical Exploration, Advanced Materials, ACS Nano and Geochemistry Exploration Environment Analysis.
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.