Tan Van Vu
Impact in
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- Advanced Thermodynamics and Statistical Mechanics
- stochastic dynamics and bifurcation
- Statistical Mechanics and Entropy
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- Quantum Mechanics and Applications
- Quantum many-body systems
Papers in
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- Advanced Thermodynamics and Statistical Mechanics 21
- Statistical Mechanics and Entropy 5
- stochastic dynamics and bifurcation 5
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- Quantum Mechanics and Applications 4
- Cold Atom Physics and Bose-Einstein Condensates 2
- Quantum many-body systems 2
- Co-authors
- Yoshihiko Hasegawa (12 shared papers)Keiji Saito (9 shared papers)Hisao Hayakawa (1 shared paper)Tomotaka Kuwahara (3 shared papers)Alberto Carrasco‐Casado (1 shared paper)Shinichi Nakasuka (1 shared paper)Morio Toyoshima (1 shared paper)
In The Last Decade
Tan Van Vu
24 papers receiving 824 citations
Peers
Comparison fields: 5 of 43
- Statistical and Nonlinear Physics 726
- Atomic and Molecular Physics, and Optics 361
- Physical and Theoretical Chemistry 60
- Cognitive Neuroscience 129
- Artificial Intelligence 194
Countries citing papers authored by Tan Van Vu
This map shows the geographic impact of Tan Van Vu'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 Tan Van Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tan Van Vu more than expected).
Fields of papers citing papers by Tan Van Vu
This network shows the impact of papers produced by Tan Van Vu. 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 Tan Van Vu. The network helps show where Tan Van Vu may publish in the future.
Co-authors
The 7 scholars most cited alongside Tan Van Vu, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 121 | |
| 2 | 2023 | 88 | |
| 3 | 2019 | 85 | |
| 4 | 2021 | 79 | |
| 5 | 2020 | 74 | |
| 6 | 2020 | 65 | |
| 7 | 2022 | 60 | |
| 8 | 2019 | 51 | |
| 9 | 2022 | 43 | |
| 10 | 2020 | 37 | |
| 11 | 2021 | 25 | |
| 12 | 2023 | 24 | |
| 13 | 2025 | 14 | |
| 14 | 2020 | 13 | |
| 15 | 2019 | 12 | |
| 16 | 2024 | 8 | |
| 17 | 2025 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2024 | 5 |
About Tan Van Vu
Tan Van Vu is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Cognitive Neuroscience, Artificial Intelligence and Civil and Structural Engineering, having authored 24 papers that have together received 838 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (21 papers), Neural dynamics and brain function (10 papers), Quantum Information and Cryptography (7 papers), Statistical Mechanics and Entropy (5 papers), stochastic dynamics and bifurcation (5 papers), Quantum Mechanics and Applications (4 papers), Cold Atom Physics and Bose-Einstein Condensates (2 papers) and Quantum many-body systems (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (726 citations), Atomic and Molecular Physics, and Optics (361 citations), Physical and Theoretical Chemistry (60 citations), Cognitive Neuroscience (129 citations) and Artificial Intelligence (194 citations). Tan Van Vu has collaborated with scholars based in Japan, Spain and Russia. Frequent co-authors include Yoshihiko Hasegawa, Keiji Saito, Hisao Hayakawa, Tomotaka Kuwahara, Alberto Carrasco‐Casado, Shinichi Nakasuka and Morio Toyoshima. Their work appears in journals such as Physical Review Research, Physical Review Letters, Physical review. E, Physical Review X and Journal of Physics A Mathematical and Theoretical.
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.