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
-
- 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)Wayne Powell (1 shared paper)Linda Godfrey (1 shared paper)Martin Servin (1 shared paper)
- Journals
- Ore Geology Reviews (7 papers)Geofluids (2 papers)Ceramics International (2 papers)Terra Nova (1 paper)IEEE photonics journal (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Da Wang
30 papers receiving 372 citations
Peers
Comparison fields: 5 of 57
- Geochemistry and Petrology 91
- Geophysics 206
- Artificial Intelligence 190
- Archeology 3
- Environmental Chemistry 24
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 | 39 | |
| 2 | 2019 | 38 | |
| 3 | 2015 | 33 | |
| 4 | 2021 | 28 | |
| 5 | 2018 | 27 | |
| 6 | 2017 | 26 | |
| 7 | 2018 | 25 | |
| 8 | 2022 | 19 | |
| 9 | 2020 | 18 | |
| 10 | 2020 | 18 | |
| 11 | 2022 | 16 | |
| 12 | 2021 | 16 | |
| 13 | 2019 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2018 | 9 | |
| 16 | 2021 | 7 | |
| 17 | 2013 | 6 | |
| 18 | 2007 | 5 | |
| 19 | 2020 | 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 385 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), Urban Heat Island Mitigation (1 paper), Optical Systems and Laser Technology (1 paper) and Metallurgy and Material Forming (1 paper). The work is most often cited by research in Geochemistry and Petrology (91 citations), Geophysics (206 citations), Artificial Intelligence (190 citations), Archeology (3 citations) and Environmental Chemistry (24 citations). Da Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Youye Zheng, Ryan Mathur, Song Wu, Miao Yu, Hongjie Wu, Wayne Powell, Linda Godfrey, Martin Servin, Tomas Berglund and Zhijie Zhang. Their work appears in journals such as Ore Geology Reviews, Geofluids, Ceramics International, Terra Nova and IEEE photonics journal.
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.