T Yan
Impact in
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- Astrophysics and Cosmic Phenomena
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Astronomy and Astrophysics top 10%
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
- Pulsars and Gravitational Waves Research
- Astro and Planetary Science
Papers in
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- Astrophysics and Cosmic Phenomena 5
- Particle physics theoretical and experimental studies 2
- Neutrino Physics Research 2
- Dark Matter and Cosmic Phenomena 2
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- Distributed and Parallel Computing Systems 4
- Advanced Data Storage Technologies 4
- Co-authors
- Hongbo Zhu (1 shared paper)Huan Ping (1 shared paper)Ruzhu Z. Wang (1 shared paper)Dai Zhou (1 shared paper)Zhaolong Han (1 shared paper)Yan Bao (1 shared paper)Bing Feng Ng (1 shared paper)Tao Lin (4 shared papers)
In The Last Decade
T Yan
12 papers receiving 283 citations
T Yan's Hit Papers
Peers
Comparison fields: 5 of 36
- Nuclear and High Energy Physics 198
- Astronomy and Astrophysics 197
- Instrumentation 14
- Statistical and Nonlinear Physics 23
- Environmental Engineering 21
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 25 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 | 150 |
| 2 | 2023 | 92 | |
| 3 | 2018 | 25 | |
| 4 | 2024 | 20 | |
| 5 | 2025 | 16 | |
| 6 | 2025 | 8 | |
| 7 | 2015 | 4 | |
| 8 | 2017 | 4 | |
| 9 | 2025 | 3 | |
| 10 | 2015 | 2 | |
| 11 | 2017 | 2 | |
| 12 | 2015 | 2 | |
| 13 | 2016 | 1 |
About T Yan
T Yan is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Astronomy and Astrophysics, Metals and Alloys and Information Systems and Management, having authored 13 papers that have together received 329 indexed citations. Recurring topics across this work include Astrophysics and Cosmic Phenomena (5 papers), Distributed and Parallel Computing Systems (4 papers), Advanced Data Storage Technologies (4 papers), Particle physics theoretical and experimental studies (2 papers), Neutrino Physics Research (2 papers), Dark Matter and Cosmic Phenomena (2 papers), Noncommutative and Quantum Gravity Theories (1 paper) and Wind and Air Flow Studies (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (198 citations), Astronomy and Astrophysics (197 citations), Instrumentation (14 citations), Statistical and Nonlinear Physics (23 citations) and Environmental Engineering (21 citations). T Yan has collaborated with scholars based in China, Russia and France. Frequent co-authors include Hongbo Zhu, Huan Ping, Ruzhu Z. Wang, Dai Zhou, Zhaolong Han, Yan Bao, Bing Feng Ng, Tao Lin, Alexey Zhemchugov and Sergey Belov. Their work appears in journals such as Physical Review Letters, Science, Physics of Fluids, Nuclear Engineering and Design and Respiration.
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.