Qun Wang
- Nuclear and High Energy Physics top 0.5%
- High-Energy Particle Collisions Research 92
- Quantum Chromodynamics and Particle Interactions 66
- Particle physics theoretical and experimental studies 56
- Computational Mathematics top 2%
- Astronomy and Astrophysics top 2%
- Cosmology and Gravitation Theories 12
-
- Quantum, superfluid, helium dynamics 23
- Cold Atom Physics and Bose-Einstein Condensates 13
- Condensed Matter Physics top 10%
-
- Matrix Theory and Algorithms 9
-
- Magnetic Properties and Applications 8
- Co-authors
- Xin-Nian WangShi PuXin-Li ShengLong-Gang PangJian-Hua GaoDirk H. RischkeZuo-tang LiangHui Li
- Journals
- Physical Review Letters (5 papers)SHILAP Revista de lepidopterología (2 papers)Journal of Applied Physics (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Qun Wang
195 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 98
- Nuclear and High Energy Physics 3.3k
- Computational Mathematics 66
- Astronomy and Astrophysics 891
- Atomic and Molecular Physics, and Optics 1.0k
- Condensed Matter Physics 159
Countries citing papers authored by Qun Wang
This map shows the geographic impact of Qun 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 Qun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qun Wang more than expected).
Fields of papers citing papers by Qun Wang
This network shows the impact of papers produced by Qun 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 Qun Wang. The network helps show where Qun Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 20 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 25 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 55 | |
| 15 | 2021 | 76 | |
| 16 | 2020 | 68 | |
| 17 | 2020 | 86 | |
| 18 | 2011 | 2 | |
| 19 | 2011 | 5 | |
| 20 | Harmonic Current Detection Algorithm of Three-Phase Circuit Based on DSP | 2006 | 1 |
About Qun Wang
Qun Wang is a scholar working on Computational Mathematics, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics, having authored 207 papers that have together received 4.3k indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (92 papers), Quantum Chromodynamics and Particle Interactions (66 papers), Particle physics theoretical and experimental studies (56 papers), Quantum, superfluid, helium dynamics (23 papers), Cold Atom Physics and Bose-Einstein Condensates (13 papers), Cosmology and Gravitation Theories (12 papers), Matrix Theory and Algorithms (9 papers) and Magnetic Properties and Applications (8 papers). The work is most often cited by research in Nuclear and High Energy Physics (3.3k citations), Computational Mathematics (66 citations) and Astronomy and Astrophysics (891 citations). Qun Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xin-Nian Wang, Shi Pu, Xin-Li Sheng, Long-Gang Pang, Jian-Hua Gao, Dirk H. Rischke, Zuo-tang Liang, Hui Li, Enrico Speranza and Nora Weickgenannt. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Applied Physics.
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.