Jun Tao
Impact in
-
- Astrophysics and Cosmic Phenomena
- Neutrino Physics Research
- Astronomy and Astrophysics top 5%
- Radio Astronomy Observations and Technology
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
Papers in
-
- Astrophysics and Cosmic Phenomena 17
- Dark Matter and Cosmic Phenomena 3
- Co-authors
- Rehan KapadiaDebarghya SarkarJ. H. FanJunhui FanWei WangQingfeng LinMatthew YeungChenhao Ren
- Journals
- The Astronomical Journal (3 papers)Publications of the Astronomical Society of Japan (3 papers)Biomedical Materials (2 papers)Applied Surface Science (2 papers)Advanced Materials Interfaces (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Jun Tao
54 papers receiving 803 citations
Peers
Comparison fields: 5 of 105
- Nuclear and High Energy Physics 311
- Astronomy and Astrophysics 313
- Biological Psychiatry 21
- Cellular and Molecular Neuroscience 95
- Electrical and Electronic Engineering 245
Countries citing papers authored by Jun Tao
This map shows the geographic impact of Jun Tao'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 Jun Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tao more than expected).
Fields of papers citing papers by Jun Tao
This network shows the impact of papers produced by Jun Tao. 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 Jun Tao. The network helps show where Jun Tao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Tao, 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 | 2024 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 63 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 20 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 4 | |
| 10 | 2020 | 5 | |
| 11 | 2019 | 8 | |
| 12 | 2019 | 2 | |
| 13 | 2018 | 4 | |
| 14 | 2017 | 19 | |
| 15 | 2015 | 11 | |
| 16 | Channel Equalization for Single Carrier MIMO Underwater Acoustic Communications | 2010 | 1 |
| 17 | 2010 | 24 | |
| 18 | 2004 | 22 | |
| 19 | 2001 | 15 | |
| 20 | 2000 | 23 |
About Jun Tao
Jun Tao is a scholar working on Microbiology, Nuclear and High Energy Physics, Astronomy and Astrophysics, Biological Psychiatry and Electrical and Electronic Engineering, having authored 57 papers that have together received 829 indexed citations. Recurring topics across this work include Astrophysics and Cosmic Phenomena (17 papers), Radio Astronomy Observations and Technology (8 papers), Gamma-ray bursts and supernovae (6 papers), Advanced Memory and Neural Computing (5 papers), Advanced Semiconductor Detectors and Materials (5 papers), Nanowire Synthesis and Applications (4 papers), Astrophysical Phenomena and Observations (4 papers) and Dark Matter and Cosmic Phenomena (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (311 citations), Astronomy and Astrophysics (313 citations), Biological Psychiatry (21 citations), Cellular and Molecular Neuroscience (95 citations) and Electrical and Electronic Engineering (245 citations). Jun Tao has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Rehan Kapadia, Debarghya Sarkar, J. H. Fan, Junhui Fan, Wei Wang, Qingfeng Lin, Matthew Yeung, Chenhao Ren, B. C. Qian and Daqiu Zhao. Their work appears in journals such as The Astronomical Journal, Publications of the Astronomical Society of Japan, Biomedical Materials, Applied Surface Science and Advanced Materials Interfaces.
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.