Qinxia Wang
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- Geological and Geochemical Analysis
- High-pressure geophysics and materials
Papers in
-
- Geological and Geochemical Analysis 5
- earthquake and tectonic studies 3
- Co-authors
- Yuanjia Wang (8 shared papers)Huaiwei Ni (4 shared papers)Donglin Zeng (5 shared papers)Xiaoping Yang (2 shared papers)Gang Li (4 shared papers)Pengfei Zhang (3 shared papers)Tiancai Zhang (3 shared papers)Zhihui Wang (1 shared paper)
- Journals
- Applied Sciences (3 papers)Statistics in Medicine (2 papers)Geochimica et Cosmochimica Acta (2 papers)Journal of Geophysical Research Solid Earth (2 papers)Frontiers in Public Health (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Qinxia Wang
29 papers receiving 194 citations
Peers
Comparison fields: 5 of 76
- Modeling and Simulation 17
- Geophysics 36
- Artificial Intelligence 55
- Atomic and Molecular Physics, and Optics 45
- Acoustics and Ultrasonics 1
Countries citing papers authored by Qinxia Wang
This map shows the geographic impact of Qinxia 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 Qinxia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qinxia Wang more than expected).
Fields of papers citing papers by Qinxia Wang
This network shows the impact of papers produced by Qinxia 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 Qinxia Wang. The network helps show where Qinxia Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qinxia 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 45 | |
| 2 | 2016 | 22 | |
| 3 | 2017 | 18 | |
| 4 | 2022 | 18 | |
| 5 | 2020 | 17 | |
| 6 | 2021 | 8 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2020 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2013 | 3 | |
| 20 | 2025 | 2 |
About Qinxia Wang
Qinxia Wang is a scholar working on Artificial Intelligence, Geophysics, Mechanics of Materials, Atomic and Molecular Physics, and Optics and Management, Monitoring, Policy and Law, having authored 35 papers that have together received 204 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (5 papers), Hydrocarbon exploration and reservoir analysis (4 papers), Cold Atom Physics and Bose-Einstein Condensates (4 papers), Quantum optics and atomic interactions (4 papers), Flood Risk Assessment and Management (3 papers), COVID-19 epidemiological studies (3 papers), earthquake and tectonic studies (3 papers) and Landslides and related hazards (3 papers). The work is most often cited by research in Modeling and Simulation (17 citations), Geophysics (36 citations), Artificial Intelligence (55 citations), Atomic and Molecular Physics, and Optics (45 citations) and Acoustics and Ultrasonics (1 citation). Qinxia Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuanjia Wang, Huaiwei Ni, Donglin Zeng, Xiaoping Yang, Gang Li, Pengfei Zhang, Tiancai Zhang, Zhihui Wang, Wan-Cai Li and Xuan Guo. Their work appears in journals such as Applied Sciences, Statistics in Medicine, Geochimica et Cosmochimica Acta, Journal of Geophysical Research Solid Earth and Frontiers in Public Health.
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.