T. Wang
Impact in
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- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Dark Matter and Cosmic Phenomena
- Nuclear physics research studies
- Neutrino Physics Research
Papers in
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- Quantum Chromodynamics and Particle Interactions 2
- Particle physics theoretical and experimental studies 2
- High-Energy Particle Collisions Research 2
- Particle Detector Development and Performance 1
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- Machine Learning in Bioinformatics 1
- Co-authors
- Christopher Kelly (2 shared papers)P. A. Boyle (1 shared paper)Christoph Lehner (2 shared papers)C. T. Sachrajda (2 shared papers)D. Murphy (2 shared papers)Norman H. Christ (2 shared papers)R. Abbott (1 shared paper)Chulwoo Jung (1 shared paper)
- Journals
- Physical review. D (2 papers)Medical Physics (1 paper)Food Chemistry X (1 paper)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (1 paper)
- Partner nations
- ChinaSwitzerlandGermany
In The Last Decade
T. Wang
4 papers receiving 46 citations
Peers
Comparison fields: 5 of 8
- Nuclear and High Energy Physics 44
- Astronomy and Astrophysics 3
- Information Systems and Management 1
- Atomic and Molecular Physics, and Optics 4
- Mathematical Physics 1
Countries citing papers authored by T. Wang
This map shows the geographic impact of T. Wang'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. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Wang more than expected).
Fields of papers citing papers by T. Wang
This network shows the impact of papers produced by T. Wang. 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. Wang. The network helps show where T. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Wang, 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 | 2020 | 38 | |
| 2 | 2021 | 7 | |
| 3 | 2025 | 1 | |
| 4 | 2022 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2003 | 0 |
About T. Wang
T. Wang is a scholar working on Nuclear and High Energy Physics, Molecular Biology, Oncology, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 47 indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (2 papers), Particle physics theoretical and experimental studies (2 papers), High-Energy Particle Collisions Research (2 papers), Colorectal Cancer Surgical Treatments (1 paper), Machine Learning in Bioinformatics (1 paper), Particle Detector Development and Performance (1 paper), Radiation Detection and Scintillator Technologies (1 paper) and Food Quality and Safety Studies (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (44 citations), Astronomy and Astrophysics (3 citations), Information Systems and Management (1 citation), Atomic and Molecular Physics, and Optics (4 citations) and Mathematical Physics (1 citation). T. Wang has collaborated with scholars based in China, Switzerland and Germany. Frequent co-authors include Christopher Kelly, P. A. Boyle, Christoph Lehner, C. T. Sachrajda, D. Murphy, Norman H. Christ, R. Abbott, Chulwoo Jung, Thomas Blum and Robert D. Mawhinney. Their work appears in journals such as Physical review. D, Medical Physics, Food Chemistry X and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.
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.