J. Ying
Impact in
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- Radiation Detection and Scintillator Technologies
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- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
Papers in
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- Agriculture, Soil, Plant Science 1
- Co-authors
- Y. Ban (1 shared paper)T. Chen (1 shared paper)Zhiyuan Zhu (1 shared paper)Yanlin Ye (1 shared paper)Jiangang Ma (1 shared paper)S. J. Qian (1 shared paper)Yun Wang (1 shared paper)Xiaohua Lü (1 shared paper)
- Journals
- Chemical Engineering Science (1 paper)Talanta (1 paper)International Journal of Computer Vision (1 paper)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (1 paper)Plant Soil and Environment (1 paper)
- Partner nations
- ChinaSwitzerlandUnited Kingdom
In The Last Decade
J. Ying
4 papers receiving 12 citations
Peers
Comparison fields: 5 of 12
- Radiation 5
- Nuclear and High Energy Physics 6
- Computer Vision and Pattern Recognition 4
- Neurology 1
- Soil Science 1
Countries citing papers authored by J. Ying
This map shows the geographic impact of J. Ying'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 J. Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Ying more than expected).
Fields of papers citing papers by J. Ying
This network shows the impact of papers produced by J. Ying. 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 J. Ying. The network helps show where J. Ying may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Ying, 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 | 2001 | 6 | |
| 2 | 2024 | 3 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 |
About J. Ying
J. Ying is a scholar working on Ecology, Evolution, Behavior and Systematics, Computer Vision and Pattern Recognition, Organic Chemistry, Pharmacology and Control and Systems Engineering, having authored 6 papers that have together received 12 indexed citations. Recurring topics across this work include Chemical synthesis and alkaloids (1 paper), Gas Sensing Nanomaterials and Sensors (1 paper), Agriculture, Soil, Plant Science (1 paper), Particle Detector Development and Performance (1 paper), Radiation Detection and Scintillator Technologies (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Methane Hydrates and Related Phenomena (1 paper) and Atmospheric and Environmental Gas Dynamics (1 paper). The work is most often cited by research in Radiation (5 citations), Nuclear and High Energy Physics (6 citations), Computer Vision and Pattern Recognition (4 citations), Neurology (1 citation) and Soil Science (1 citation). J. Ying has collaborated with scholars based in China, Switzerland and United Kingdom. Frequent co-authors include Y. Ban, T. Chen, Zhiyuan Zhu, Yanlin Ye, Jiangang Ma, S. J. Qian, Yun Wang, Xiaohua Lü, Xinmiao Liang and Zhifeng Li. Their work appears in journals such as Chemical Engineering Science, Talanta, International Journal of Computer Vision, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Plant Soil and Environment.
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.