Dian Tan
Impact in
-
- Advanced Thermodynamics and Statistical Mechanics
-
- Quantum and electron transport phenomena
- Quantum many-body systems
Papers in
-
- Quantum and electron transport phenomena 6
-
- Quantum Information and Cryptography 6
- Quantum Computing Algorithms and Architecture 3
- Semantic Web and Ontologies 1
- Co-authors
- Song Liu (7 shared papers)Dapeng Yu (6 shared papers)Yuxuan Zhou (5 shared papers)Jiawei Qiu (3 shared papers)Chang-Kang Hu (6 shared papers)Ji Chu (4 shared papers)Youpeng Zhong (3 shared papers)Romain Bachelard (2 shared papers)
In The Last Decade
Dian Tan
11 papers receiving 173 citations
Peers
Comparison fields: 5 of 19
- Statistical and Nonlinear Physics 47
- Atomic and Molecular Physics, and Optics 106
- Condensed Matter Physics 35
- Artificial Intelligence 96
- Electronic, Optical and Magnetic Materials 37
Countries citing papers authored by Dian Tan
This map shows the geographic impact of Dian Tan'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 Dian Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dian Tan more than expected).
Fields of papers citing papers by Dian Tan
This network shows the impact of papers produced by Dian Tan. 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 Dian Tan. The network helps show where Dian Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dian Tan, 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 | 2022 | 107 | |
| 2 | 2011 | 24 | |
| 3 | 2012 | 12 | |
| 4 | 2020 | 11 | |
| 5 | 2023 | 6 | |
| 6 | 2024 | 6 | |
| 7 | 2025 | 5 | |
| 8 | 2024 | 4 | |
| 9 | Internet Based Learning and Collaboration - a Longitudinal Case Study | 2003 | 1 |
| 10 | 2025 | 1 | |
| 11 | 2019 | 1 | |
| 12 | CYCLADES: An Environment for the Cooperative Management of Digital Information | 2005 | 0 |
| 13 | 2025 | 0 |
About Dian Tan
Dian Tan is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Electronic, Optical and Magnetic Materials, Condensed Matter Physics and Computer Networks and Communications, having authored 13 papers that have together received 178 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (6 papers), Quantum Information and Cryptography (6 papers), Quantum Computing Algorithms and Architecture (3 papers), Rare-earth and actinide compounds (2 papers), Iron-based superconductors research (2 papers), Superconductivity in MgB2 and Alloys (1 paper), Semantic Web and Ontologies (1 paper) and Magneto-Optical Properties and Applications (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (47 citations), Atomic and Molecular Physics, and Optics (106 citations), Condensed Matter Physics (35 citations), Artificial Intelligence (96 citations) and Electronic, Optical and Magnetic Materials (37 citations). Dian Tan has collaborated with scholars based in China, Germany and Brazil. Frequent co-authors include Song Liu, Dapeng Yu, Yuxuan Zhou, Jiawei Qiu, Chang-Kang Hu, Ji Chu, Youpeng Zhong, Romain Bachelard, Libo Zhang and Fei Yan. Their work appears in journals such as Nature Communications, Quantum Science and Technology, Physical Review Applied, Journal of the Optical Society of America B and Physical Review B.
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.