Da Wang
Impact in
- Geophysics top 10%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- Geochemistry and Petrology top 10%
- Geochemistry and Elemental Analysis
Papers in
-
- Geochemistry and Geologic Mapping 16
- Geophysics 16
- Geological and Geochemical Analysis 16
- earthquake and tectonic studies 9
- Co-authors
- Youye Zheng (13 shared papers)Ryan Mathur (11 shared papers)Song Wu (4 shared papers)Miao Yu (5 shared papers)Hongjie Wu (3 shared papers)Linda Godfrey (1 shared paper)Wayne Powell (1 shared paper)Tomas Berglund (1 shared paper)
- Journals
- Ore Geology Reviews (7 papers)Ceramics International (2 papers)Geofluids (2 papers)IEEE photonics journal (1 paper)Terra Nova (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Da Wang
29 papers receiving 342 citations
Peers
Comparison fields: 5 of 56
- Geophysics 198
- Geochemistry and Petrology 86
- Artificial Intelligence 183
- Archeology 3
- Environmental Chemistry 21
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 36 | |
| 2 | 2019 | 35 | |
| 3 | 2015 | 32 | |
| 4 | 2021 | 26 | |
| 5 | 2018 | 25 | |
| 6 | 2018 | 24 | |
| 7 | 2017 | 23 | |
| 8 | 2020 | 16 | |
| 9 | 2022 | 16 | |
| 10 | 2020 | 16 | |
| 11 | 2022 | 15 | |
| 12 | 2021 | 13 | |
| 13 | 2019 | 11 | |
| 14 | 2023 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2021 | 7 | |
| 17 | 2013 | 6 | |
| 18 | 2020 | 5 | |
| 19 | Study on experimental determination of the dynamic elastic mechanical parameters of frozen soil by ultrasonic technique | 2002 | 5 |
| 20 | 2023 | 5 |
About Da Wang
Da Wang is a scholar working on Artificial Intelligence, Geophysics, Geochemistry and Petrology, Electrical and Electronic Engineering and Computational Mechanics, having authored 33 papers that have together received 356 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (16 papers), Geochemistry and Geologic Mapping (16 papers), earthquake and tectonic studies (9 papers), Geochemistry and Elemental Analysis (4 papers), Radiative Heat Transfer Studies (2 papers), Plant-Microbe Interactions and Immunity (1 paper), Phytochemicals and Medicinal Plants (1 paper) and Pigment Synthesis and Properties (1 paper). The work is most often cited by research in Geophysics (198 citations), Geochemistry and Petrology (86 citations), Artificial Intelligence (183 citations), Archeology (3 citations) and Environmental Chemistry (21 citations). Da Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Youye Zheng, Ryan Mathur, Song Wu, Miao Yu, Hongjie Wu, Linda Godfrey, Wayne Powell, Tomas Berglund, Martin Servin and Mingfeng Zhong. Their work appears in journals such as Ore Geology Reviews, Ceramics International, Geofluids, IEEE photonics journal and Terra Nova.
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.