Wei Dan
Impact in
- Geophysics top 0.5%
- Geological and Geochemical Analysis
- High-pressure geophysics and materials
- earthquake and tectonic studies
- Geology top 2%
- Geological and Geophysical Studies
Papers in
- Geophysics 75
- Geological and Geochemical Analysis 74
- High-pressure geophysics and materials 55
- earthquake and tectonic studies 48
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- Geochemistry and Geologic Mapping 21
- Co-authors
- Qiang Wang (63 shared papers)Xian‐Hua Li (8 shared papers)Derek A. Wyman (28 shared papers)Yu Liu (6 shared papers)Xuan‐Ce Wang (6 shared papers)Gong‐Jian Tang (33 shared papers)Xiu‐Zheng Zhang (32 shared papers)Jinghui Guo (2 shared papers)
- Journals
- Lithos (17 papers)Journal of Petrology (8 papers)Geology (7 papers)Geological Society of America Bulletin (5 papers)Journal of Asian Earth Sciences (4 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Wei Dan
118 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 99
- Geophysics 2.3k
- Geology 205
- Geochemistry and Petrology 208
- Artificial Intelligence 1.1k
- Paleontology 162
Countries citing papers authored by Wei Dan
This map shows the geographic impact of Wei Dan'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 Wei Dan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Dan more than expected).
Fields of papers citing papers by Wei Dan
This network shows the impact of papers produced by Wei Dan. 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 Wei Dan. The network helps show where Wei Dan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Dan, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 187 | |
| 2 | 2016 | 147 | |
| 3 | 2011 | 144 | |
| 4 | 2015 | 133 | |
| 5 | 2015 | 124 | |
| 6 | 2015 | 112 | |
| 7 | 2018 | 95 | |
| 8 | 2014 | 85 | |
| 9 | 2016 | 78 | |
| 10 | 2014 | 70 | |
| 11 | 2014 | 67 | |
| 12 | 2016 | 66 | |
| 13 | 2017 | 63 | |
| 14 | 2015 | 59 | |
| 15 | 2021 | 56 | |
| 16 | 2019 | 53 | |
| 17 | 2016 | 47 | |
| 18 | 2018 | 42 | |
| 19 | 2020 | 41 | |
| 20 | 2022 | 39 |
About Wei Dan
Wei Dan is a scholar working on Geophysics, Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering, having authored 130 papers that have together received 2.9k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (74 papers), High-pressure geophysics and materials (55 papers), earthquake and tectonic studies (48 papers), Geochemistry and Geologic Mapping (21 papers), Microgrid Control and Optimization (9 papers), Geological and Geophysical Studies (8 papers), Energy Load and Power Forecasting (8 papers) and Advanced Battery Technologies Research (7 papers). The work is most often cited by research in Geophysics (2.3k citations), Geology (205 citations), Geochemistry and Petrology (208 citations), Artificial Intelligence (1.1k citations) and Paleontology (162 citations). Wei Dan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Qiang Wang, Xian‐Hua Li, Derek A. Wyman, Yu Liu, Xuan‐Ce Wang, Gong‐Jian Tang, Xiu‐Zheng Zhang, Jinghui Guo, Quan Ou and Chunfu Zhang. Their work appears in journals such as Lithos, Journal of Petrology, Geology, Geological Society of America Bulletin and Journal of Asian Earth Sciences.
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.