G. Wang
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Dark Matter and Cosmic Phenomena
- Particle Detector Development and Performance
- Black Holes and Theoretical Physics
- Neutrino Physics Research
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- Cosmology and Gravitation Theories
Papers in
-
- Particle physics theoretical and experimental studies 26
- High-Energy Particle Collisions Research 23
- Quantum Chromodynamics and Particle Interactions 19
- Dark Matter and Cosmic Phenomena 5
- Astrophysics and Cosmic Phenomena 1
-
- Medical Imaging Techniques and Applications 1
- Journals
- Physical Review Letters (22 papers)Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields (4 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
G. Wang
26 papers receiving 1.7k citations
G. Wang's Hit Papers
Peers
Comparison fields: 5 of 47
- Nuclear and High Energy Physics 1.8k
- Astronomy and Astrophysics 163
- Radiation 14
- Artificial Intelligence 55
- Statistical and Nonlinear Physics 19
Countries citing papers authored by G. Wang
This map shows the geographic impact of G. 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 G. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Wang more than expected).
Fields of papers citing papers by G. Wang
This network shows the impact of papers produced by G. 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 G. Wang. The network helps show where G. Wang may publish in the future.
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All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Observation of Top Quark Production in p ¯ p Collisions with the Collider Detector at Fermilab Hit paper breakdown → | 1995 | 895 |
| 2 | 1996 | 142 | |
| 3 | 1995 | 92 | |
| 4 | 1994 | 80 | |
| 5 | 1995 | 68 | |
| 6 | 1995 | 63 | |
| 7 | 1996 | 52 | |
| 8 | 1995 | 50 | |
| 9 | 1995 | 48 | |
| 10 | 1995 | 37 | |
| 11 | 1995 | 36 | |
| 12 | 1996 | 30 | |
| 13 | 1996 | 24 | |
| 14 | 1996 | 21 | |
| 15 | 1996 | 19 | |
| 16 | 1995 | 19 | |
| 17 | 1996 | 18 | |
| 18 | 1995 | 17 | |
| 19 | 1996 | 16 | |
| 20 | 1995 | 16 |
About G. Wang
G. Wang is a scholar working on Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Artificial Intelligence and Insect Science, having authored 26 papers that have together received 1.8k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (26 papers), High-Energy Particle Collisions Research (23 papers), Quantum Chromodynamics and Particle Interactions (19 papers), Dark Matter and Cosmic Phenomena (5 papers), Particle Accelerators and Free-Electron Lasers (2 papers), Computational Physics and Python Applications (1 paper), Astrophysics and Cosmic Phenomena (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.8k citations), Astronomy and Astrophysics (163 citations), Radiation (14 citations), Artificial Intelligence (55 citations) and Statistical and Nonlinear Physics (19 citations). G. Wang has collaborated with scholars based in United States, Italy and Japan. Their work appears in journals such as Physical Review Letters and Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields.
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.