Daohan Zhang
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 23
- Geological and Geochemical Analysis 23
- High-pressure geophysics and materials 13
- earthquake and tectonic studies 13
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- Geochemistry and Geologic Mapping 12
- Co-authors
- Andreas Audétat (5 shared papers)Junhao Wei (18 shared papers)Lebing Fu (6 shared papers)Jiajie Chen (6 shared papers)Xu Zhao (4 shared papers)Yan Liu (5 shared papers)M. Santosh (3 shared papers)Leon Bagas (3 shared papers)
In The Last Decade
Daohan Zhang
20 papers receiving 471 citations
Peers
Comparison fields: 5 of 30
- Geophysics 475
- Artificial Intelligence 325
- Geochemistry and Petrology 58
- Geology 10
- Inorganic Chemistry 20
Countries citing papers authored by Daohan Zhang
This map shows the geographic impact of Daohan Zhang'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 Daohan Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daohan Zhang more than expected).
Fields of papers citing papers by Daohan Zhang
This network shows the impact of papers produced by Daohan Zhang. 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 Daohan Zhang. The network helps show where Daohan Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daohan Zhang, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 89 | |
| 2 | 2019 | 51 | |
| 3 | 2019 | 50 | |
| 4 | 2020 | 44 | |
| 5 | 2018 | 39 | |
| 6 | 2017 | 38 | |
| 7 | 2020 | 27 | |
| 8 | 2014 | 25 | |
| 9 | 2013 | 25 | |
| 10 | 2022 | 21 | |
| 11 | 2019 | 20 | |
| 12 | 2016 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2022 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 5 | |
| 18 | 2025 | 4 | |
| 19 | 2022 | 2 | |
| 20 | 2023 | 1 |
About Daohan Zhang
Daohan Zhang is a scholar working on Geophysics, Artificial Intelligence, Geochemistry and Petrology, Molecular Biology and Paleontology, having authored 24 papers that have together received 497 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (23 papers), High-pressure geophysics and materials (13 papers), earthquake and tectonic studies (13 papers), Geochemistry and Geologic Mapping (12 papers), Geochemistry and Elemental Analysis (3 papers), International Business and FDI (1 paper), Geochemistry and Geochronology of Asian Mineral Deposits (1 paper) and Geomagnetism and Paleomagnetism Studies (1 paper). The work is most often cited by research in Geophysics (475 citations), Artificial Intelligence (325 citations), Geochemistry and Petrology (58 citations), Geology (10 citations) and Inorganic Chemistry (20 citations). Daohan Zhang has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Andreas Audétat, Junhao Wei, Lebing Fu, Jiajie Chen, Xu Zhao, Yan Liu, M. Santosh, Leon Bagas, Wenjie Shi and Jun Jie Tan. Their work appears in journals such as Lithos, Ore Geology Reviews, Economic Geology, Journal of Petrology and Gondwana Research.
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.