T Yan
Impact in
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- Astrophysics and Cosmic Phenomena
- Dark Matter and Cosmic Phenomena
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- Gamma-ray bursts and supernovae
- Pulsars and Gravitational Waves Research
- Cosmology and Gravitation Theories
- Astrophysical Phenomena and Observations
Papers in
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- Distributed and Parallel Computing Systems 4
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- Astrophysics and Cosmic Phenomena 3
- Co-authors
- Sergey Belov (4 shared papers)Tao Lin (4 shared papers)Xiaolang Yan (4 shared papers)Ziyan Deng (4 shared papers)Alexey Zhemchugov (4 shared papers)Antonio Amoroso (1 shared paper)Marco Maggiora (1 shared paper)Xianfeng Zhao (1 shared paper)
- Journals
- Physical Review Letters (3 papers)Chinese Physics C (1 paper)Science (1 paper)Physics of Particles and Nuclei Letters (1 paper)Journal of Physics Conference Series (3 papers)
In The Last Decade
T Yan
9 papers receiving 288 citations
T Yan's Hit Papers
Peers
Comparison fields: 5 of 8
- Nuclear and High Energy Physics 147
- Astronomy and Astrophysics 111
- Statistical and Nonlinear Physics 24
- Computer Networks and Communications 6
- Information Systems and Management 1
Countries citing papers authored by T Yan
This map shows the geographic impact of T Yan'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 T Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Yan more than expected).
Fields of papers citing papers by T Yan
This network shows the impact of papers produced by T Yan. 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 T Yan. The network helps show where T Yan may publish in the future.
Co-authors
The 24 scholars most cited alongside T Yan, 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 | A tera–electron volt afterglow from a narrow jet in an extremely bright gamma-ray burst Hit paper breakdown → | 2023 | 154 |
| 2 | Measurement of Ultra-High-Energy Diffuse Gamma-Ray Emission of the Galactic Plane from 10 TeV to 1 PeV with LHAASO-KM2A Hit paper breakdown → | 2023 | 98 |
| 3 | 2024 | 25 | |
| 4 | 2025 | 17 | |
| 5 | 2024 | 6 | |
| 6 | 2015 | 4 | |
| 7 | 2015 | 2 | |
| 8 | 2015 | 2 | |
| 9 | 2017 | 2 | |
| 10 | 2016 | 1 |
About T Yan
T Yan is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Statistical and Nonlinear Physics, Information Systems and Astronomy and Astrophysics, having authored 10 papers that have together received 311 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (4 papers), Astrophysics and Cosmic Phenomena (3 papers), Noncommutative and Quantum Gravity Theories (1 paper), Cloud Computing and Resource Management (1 paper) and Gamma-ray bursts and supernovae (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (147 citations), Astronomy and Astrophysics (111 citations), Statistical and Nonlinear Physics (24 citations), Computer Networks and Communications (6 citations) and Information Systems and Management (1 citation). T Yan has collaborated with scholars based in China, Russia and Italy. Frequent co-authors include Sergey Belov, Tao Lin, Xiaolang Yan, Ziyan Deng, Alexey Zhemchugov, Antonio Amoroso, Marco Maggiora, Xianfeng Zhao, Xianmei Zhang and Andrey Tsaregorodtsev. Their work appears in journals such as Physical Review Letters, Chinese Physics C, Science, Physics of Particles and Nuclei Letters and Journal of Physics Conference Series.
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.