Jun Weng
Impact in
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- Electromagnetic wave absorption materials
- Magnetic Properties of Alloys
- Magnetic Properties and Applications
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- Neutrino Physics Research
- Particle Detector Development and Performance
Papers in
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- Neutrino Physics Research 13
- Particle Detector Development and Performance 7
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- Electromagnetic wave absorption materials 4
- Co-authors
- Xiaoxiao Huang (4 shared papers)Yanan Liu (1 shared paper)Wuyan Lai (1 shared paper)Wendong Wang (1 shared paper)Boshi Gao (3 shared papers)Guansheng Ma (3 shared papers)Yuefeng Yan (3 shared papers)Guangyu Qin (3 shared papers)
In The Last Decade
Jun Weng
23 papers receiving 306 citations
Peers
Comparison fields: 5 of 32
- Electronic, Optical and Magnetic Materials 123
- Nuclear and High Energy Physics 126
- Radiation 16
- Atomic and Molecular Physics, and Optics 33
- General Materials Science 2
Countries citing papers authored by Jun Weng
This map shows the geographic impact of Jun Weng'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 Jun Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Weng more than expected).
Fields of papers citing papers by Jun Weng
This network shows the impact of papers produced by Jun Weng. 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 Jun Weng. The network helps show where Jun Weng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Weng, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 57 | |
| 2 | 1998 | 51 | |
| 3 | 2024 | 24 | |
| 4 | 2025 | 22 | |
| 5 | 2023 | 20 | |
| 6 | 2024 | 17 | |
| 7 | 2024 | 16 | |
| 8 | 2023 | 14 | |
| 9 | 2024 | 14 | |
| 10 | 2024 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2026 | 6 | |
| 18 | 2024 | 4 | |
| 19 | 2026 | 4 | |
| 20 | 2024 | 3 |
About Jun Weng
Jun Weng is a scholar working on Nuclear and High Energy Physics, Electronic, Optical and Magnetic Materials, Industrial and Manufacturing Engineering, Epidemiology and Experimental and Cognitive Psychology, having authored 26 papers that have together received 318 indexed citations. Recurring topics across this work include Neutrino Physics Research (13 papers), Particle Detector Development and Performance (7 papers), Electromagnetic wave absorption materials (4 papers), Neuroendocrine Tumor Research Advances (2 papers), Industrial Vision Systems and Defect Detection (1 paper), Welding Techniques and Residual Stresses (1 paper), Magnetic properties of thin films (1 paper) and Face recognition and analysis (1 paper). The work is most often cited by research in Electronic, Optical and Magnetic Materials (123 citations), Nuclear and High Energy Physics (126 citations), Radiation (16 citations), Atomic and Molecular Physics, and Optics (33 citations) and General Materials Science (2 citations). Jun Weng has collaborated with scholars based in China, France and Russia. Frequent co-authors include Xiaoxiao Huang, Yanan Liu, Wuyan Lai, Wendong Wang, Boshi Gao, Guansheng Ma, Yuefeng Yan, Guangyu Qin, Seeram Ramakrishna and Zhen Lei. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Chinese Physics C, Chemical Engineering Journal, Welding in the World and Applied Physics Letters.
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.