Yaqi Wang
Impact in
- Pollution top 5%
- Microplastics and Plastic Pollution
- Aerospace Engineering top 2%
- Nuclear reactor physics and engineering
Papers in
-
- Nuclear reactor physics and engineering 29
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- Advanced Numerical Methods in Computational Mathematics 17
- Computational Fluid Dynamics and Aerodynamics 11
- Co-authors
- Jean C. Ragusa (10 shared papers)Richard Martineau (10 shared papers)Junhong Bai (16 shared papers)Javier Ortensi (13 shared papers)Sebastian Schunert (13 shared papers)Mark DeHart (12 shared papers)Haizhu Liu (10 shared papers)John W. Peterson (4 shared papers)
- Journals
- Annals of Nuclear Energy (12 papers)Nuclear Science and Engineering (10 papers)Chemosphere (5 papers)Ecohydrology & Hydrobiology (5 papers)Environmental Pollution (4 papers)
- Partner nations
- ChinaUnited StatesChile
In The Last Decade
Yaqi Wang
119 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 125
- Pollution 308
- Aerospace Engineering 531
- Computational Mechanics 345
- Radiation 134
- Oceanography 131
Countries citing papers authored by Yaqi Wang
This map shows the geographic impact of Yaqi 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 Yaqi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaqi Wang more than expected).
Fields of papers citing papers by Yaqi Wang
This network shows the impact of papers produced by Yaqi 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 Yaqi Wang. The network helps show where Yaqi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaqi 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 194 | |
| 2 | 2020 | 82 | |
| 3 | 2020 | 65 | |
| 4 | 2024 | 62 | |
| 5 | 2020 | 58 | |
| 6 | 2023 | 53 | |
| 7 | 2021 | 46 | |
| 8 | 2008 | 46 | |
| 9 | 2010 | 39 | |
| 10 | 2020 | 39 | |
| 11 | 2024 | 36 | |
| 12 | 2021 | 35 | |
| 13 | 2023 | 35 | |
| 14 | 2023 | 34 | |
| 15 | 2022 | 33 | |
| 16 | 2010 | 33 | |
| 17 | 2009 | 31 | |
| 18 | 2022 | 28 | |
| 19 | 2009 | 28 | |
| 20 | 2009 | 28 |
About Yaqi Wang
Yaqi Wang is a scholar working on Aerospace Engineering, Computational Mechanics, Pollution, Global and Planetary Change and Ecology, having authored 132 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (29 papers), Advanced Numerical Methods in Computational Mathematics (17 papers), Climate variability and models (13 papers), Oceanographic and Atmospheric Processes (12 papers), Computational Fluid Dynamics and Aerodynamics (11 papers), Pharmaceutical and Antibiotic Environmental Impacts (10 papers), Nuclear Materials and Properties (7 papers) and Magnetic confinement fusion research (7 papers). The work is most often cited by research in Pollution (308 citations), Aerospace Engineering (531 citations), Computational Mechanics (345 citations), Radiation (134 citations) and Oceanography (131 citations). Yaqi Wang has collaborated with scholars based in China, United States and Chile. Frequent co-authors include Jean C. Ragusa, Richard Martineau, Junhong Bai, Javier Ortensi, Sebastian Schunert, Mark DeHart, Haizhu Liu, John W. Peterson, Derek Gaston and David Andrš. Their work appears in journals such as Annals of Nuclear Energy, Nuclear Science and Engineering, Chemosphere, Ecohydrology & Hydrobiology and Environmental Pollution.
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.