X. Ai
Impact in
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- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
- Neutrino Physics Research
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- Radiation Detection and Scintillator Technologies
Papers in
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- Particle Detector Development and Performance 11
- Particle physics theoretical and experimental studies 10
- Dark Matter and Cosmic Phenomena 3
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- Radiation Detection and Scintillator Technologies 8
- Co-authors
- Yi Liu (5 shared papers)Xingtao Huang (2 shared papers)Q. Ouyang (2 shared papers)Y. Lu (2 shared papers)Min Fu (2 shared papers)Yutao Wang (1 shared paper)N. A. Styles (1 shared paper)Ying Zhang (2 shared papers)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (3 papers)Nature Communications (1 paper)Energy & Environmental Science (1 paper)Organic Chemistry Frontiers (1 paper)PeerJ (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
X. Ai
16 papers receiving 49 citations
Peers
Comparison fields: 5 of 28
- Nuclear and High Energy Physics 24
- Radiation 13
- Nature and Landscape Conservation 4
- Soil Science 3
- Information Systems and Management 2
Countries citing papers authored by X. Ai
This map shows the geographic impact of X. Ai'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 X. Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites X. Ai more than expected).
Fields of papers citing papers by X. Ai
This network shows the impact of papers produced by X. Ai. 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 X. Ai. The network helps show where X. Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside X. Ai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 8 | |
| 2 | 2019 | 6 | |
| 3 | 2023 | 5 | |
| 4 | 2025 | 5 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2020 | 3 | |
| 9 | 2020 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About X. Ai
X. Ai is a scholar working on Nuclear and High Energy Physics, Radiation, Computer Networks and Communications, Materials Chemistry and Organic Chemistry, having authored 24 papers that have together received 51 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (11 papers), Particle physics theoretical and experimental studies (10 papers), Radiation Detection and Scintillator Technologies (8 papers), Dark Matter and Cosmic Phenomena (3 papers), Molecular Sensors and Ion Detection (2 papers), Luminescence and Fluorescent Materials (2 papers), Muscle Physiology and Disorders (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (24 citations), Radiation (13 citations), Nature and Landscape Conservation (4 citations), Soil Science (3 citations) and Information Systems and Management (2 citations). X. Ai has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Yi Liu, Xingtao Huang, Q. Ouyang, Y. Lu, Min Fu, Yutao Wang, N. A. Styles, Ying Zhang, Hao Chen and R. Kiuchi. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Nature Communications, Energy & Environmental Science, Organic Chemistry Frontiers and PeerJ.
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.