Jingya Zhu
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- Particle physics theoretical and experimental studies 19
- Dark Matter and Cosmic Phenomena 13
- Quantum Chromodynamics and Particle Interactions 4
- High-Energy Particle Collisions Research 3
- Particle Detector Development and Performance 3
- Neutrino Physics Research 2
- Astronomy and Astrophysics top 5%
- Cosmology and Gravitation Theories 8
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- Computational Physics and Python Applications 2
- Co-authors
- Jin Min YangJunjie CaoZhaoxia HengYanming ZhangLei WangChengcheng HanFei WangXiao-Fang Han
- Cited by
- Nuclear and High Energy PhysicsAstronomy and AstrophysicsComputer Vision and Pattern Recognition
- Journals
- Journal of High Energy Physics (6 papers)Journal of Crystal Growth (1 paper)Physical review. D (4 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Jingya Zhu
20 papers receiving 559 citations
Peers
Comparison fields: 5 of 18
- Nuclear and High Energy Physics 553
- Astronomy and Astrophysics 240
- Computer Vision and Pattern Recognition 10
- Artificial Intelligence 14
- Computational Mechanics 7
Countries citing papers authored by Jingya Zhu
This map shows the geographic impact of Jingya Zhu'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 Jingya Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingya Zhu more than expected).
Fields of papers citing papers by Jingya Zhu
This network shows the impact of papers produced by Jingya Zhu. 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 Jingya Zhu. The network helps show where Jingya Zhu may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Jingya Zhu, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 18 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 6 | |
| 9 | The funnel annihilations of light dark matter and the Higgs invisible decay | 2020 | 1 |
| 10 | 2020 | 6 | |
| 11 | 2020 | 12 | |
| 12 | 2018 | 23 | |
| 13 | 2018 | 18 | |
| 14 | 2015 | 12 | |
| 15 | 2014 | 16 | |
| 16 | 2013 | 35 | |
| 17 | 2013 | 69 | |
| 18 | 2013 | 40 | |
| 19 | 2012 | 264 | |
| 20 | 2004 | 1 |
About Jingya Zhu
Jingya Zhu is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Artificial Intelligence, having authored 22 papers that have together received 571 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (19 papers), Dark Matter and Cosmic Phenomena (13 papers), Cosmology and Gravitation Theories (8 papers), Quantum Chromodynamics and Particle Interactions (4 papers), High-Energy Particle Collisions Research (3 papers), Particle Detector Development and Performance (3 papers), Neutrino Physics Research (2 papers) and Computational Physics and Python Applications (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (553 citations), Astronomy and Astrophysics (240 citations) and Computer Vision and Pattern Recognition (10 citations). Jingya Zhu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Jin Min Yang, Junjie Cao, Zhaoxia Heng, Yanming Zhang, Lei Wang, Chengcheng Han, Fei Wang, Xiao-Fang Han, Yang Zhang and Liangliang Shang. Their work appears in journals such as Journal of High Energy Physics, Journal of Crystal Growth and Physical review. D.
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.