Da Wang
Impact in
- Geochemistry and Petrology top 5%
- Geochemistry and Elemental Analysis
- Geophysics top 10%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
Papers in
- Geophysics 17
- Geological and Geochemical Analysis 17
- earthquake and tectonic studies 10
-
- Geochemistry and Elemental Analysis 6
- Co-authors
- Youye Zheng (13 shared papers)Ryan D. Mathur (11 shared papers)Song Wu (4 shared papers)M Zhukova Yu (5 shared papers)Hongjie Wu (3 shared papers)Martin Servin (1 shared paper)Tomas Berglund (1 shared paper)Linda Godfrey (1 shared paper)
- Journals
- Ore Geology Reviews (8 papers)Australian Journal of Earth Sciences (2 papers)Geofluids (2 papers)Ceramics International (2 papers)Journal of Environmental Management (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Da Wang
32 papers receiving 386 citations
Peers
Comparison fields: 5 of 59
- Geochemistry and Petrology 94
- Geophysics 215
- Artificial Intelligence 194
- Environmental Chemistry 25
- Inorganic Chemistry 32
Countries citing papers authored by Da Wang
This map shows the geographic impact of Da Wang'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 Da Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Wang more than expected).
Fields of papers citing papers by Da Wang
This network shows the impact of papers produced by Da Wang. 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 Da Wang. The network helps show where Da Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Wang, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 39 | |
| 2 | 2019 | 37 | |
| 3 | 2015 | 33 | |
| 4 | 2021 | 29 | |
| 5 | 2017 | 27 | |
| 6 | 2018 | 27 | |
| 7 | 2018 | 26 | |
| 8 | 2022 | 20 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 16 | |
| 13 | 2019 | 12 | |
| 14 | 2018 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2022 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2013 | 6 | |
| 20 | 2023 | 5 |
About Da Wang
Da Wang is a scholar working on Geophysics, Geochemistry and Petrology, Artificial Intelligence, Environmental Engineering and Environmental Chemistry, having authored 37 papers that have together received 402 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (17 papers), Geochemistry and Geologic Mapping (17 papers), earthquake and tectonic studies (10 papers), Geochemistry and Elemental Analysis (6 papers), Hydrocarbon exploration and reservoir analysis (2 papers), Radiative Heat Transfer Studies (2 papers), Geomagnetism and Paleomagnetism Studies (1 paper) and Granular flow and fluidized beds (1 paper). The work is most often cited by research in Geochemistry and Petrology (94 citations), Geophysics (215 citations), Artificial Intelligence (194 citations), Environmental Chemistry (25 citations) and Inorganic Chemistry (32 citations). Da Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Youye Zheng, Ryan D. Mathur, Song Wu, M Zhukova Yu, Hongjie Wu, Martin Servin, Tomas Berglund, Linda Godfrey, Wayne G. Powell and Kunfeng Qiu. Their work appears in journals such as Ore Geology Reviews, Australian Journal of Earth Sciences, Geofluids, Ceramics International and Journal of Environmental Management.
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.