Zhenju 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 18
- Geological and Geochemical Analysis 18
- earthquake and tectonic studies 8
- High-pressure geophysics and materials 7
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- Geochemistry and Geologic Mapping 15
- Co-authors
- Mouchun He (13 shared papers)Xinlu Hu (11 shared papers)Shuzhen Yao (9 shared papers)Bin Chen (5 shared papers)Jun Shen (5 shared papers)Bo Guo (2 shared papers)Guowei Zhang (2 shared papers)Laimin Zhu (2 shared papers)
- Journals
- Ore Geology Reviews (4 papers)Geological Journal (2 papers)Journal of Geochemical Exploration (1 paper)Journal of Asian Earth Sciences (1 paper)Mineralium Deposita (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Zhenju Ding
19 papers receiving 414 citations
Peers
Comparison fields: 5 of 22
- Geophysics 405
- Artificial Intelligence 303
- Geochemistry and Petrology 54
- Geology 7
- Paleontology 8
Countries citing papers authored by Zhenju Ding
This map shows the geographic impact of Zhenju 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 Zhenju Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenju Ding more than expected).
Fields of papers citing papers by Zhenju Ding
This network shows the impact of papers produced by Zhenju 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 Zhenju Ding. The network helps show where Zhenju Ding may publish in the future.
Co-authors
The 23 scholars most cited alongside Zhenju 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
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 92 | |
| 2 | 2014 | 81 | |
| 3 | 2014 | 39 | |
| 4 | 2014 | 33 | |
| 5 | 2009 | 31 | |
| 6 | 2016 | 28 | |
| 7 | 2014 | 24 | |
| 8 | 2014 | 19 | |
| 9 | 2016 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2020 | 11 | |
| 12 | 2015 | 10 | |
| 13 | 2022 | 8 | |
| 14 | 2014 | 5 | |
| 15 | 2021 | 3 | |
| 16 | 2021 | 3 | |
| 17 | Characteristics of ore-forming fluid of Yangzhaiyu gold deposit in Xiaoqinling gold district, Henan Province | 2013 | 2 |
| 18 | 2000 | 2 | |
| 19 | 2021 | 2 |
About Zhenju Ding
Zhenju Ding is a scholar working on Geophysics, Artificial Intelligence, Economics and Econometrics, Paleontology and Control and Systems Engineering, having authored 19 papers that have together received 420 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (18 papers), Geochemistry and Geologic Mapping (15 papers), earthquake and tectonic studies (8 papers), High-pressure geophysics and materials (7 papers), Geochemistry and Geochronology of Asian Mineral Deposits (3 papers), Geochemistry and Elemental Analysis (1 paper), Paleontology and Stratigraphy of Fossils (1 paper) and Mining Techniques and Economics (1 paper). The work is most often cited by research in Geophysics (405 citations), Artificial Intelligence (303 citations), Geochemistry and Petrology (54 citations), Geology (7 citations) and Paleontology (8 citations). Zhenju Ding has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Mouchun He, Xinlu Hu, Shuzhen Yao, Bin Chen, Jun Shen, Bo Guo, Guowei Zhang, Laimin Zhu, Ben Lee and Yanjing Chen. Their work appears in journals such as Ore Geology Reviews, Geological Journal, Journal of Geochemical Exploration, Journal of Asian Earth Sciences 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.