Jun Meng
Impact in
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- Recycling and Waste Management Techniques
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- Microplastics and Plastic Pollution
Papers in
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- Particle accelerators and beam dynamics 13
- Robotics and Sensor-Based Localization 3
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- Particle Accelerators and Free-Electron Lasers 8
- Co-authors
- Ming Hung Wong (1 shared paper)Shengdao Shan (2 shared papers)Yun Shi (1 shared paper)Peter Christie (1 shared paper)Jin Zhang (1 shared paper)Xu Li (2 shared papers)Feng Zhang (1 shared paper)Wenjun Zhu (1 shared paper)
- Journals
- Vacuum (7 papers)Knowledge-Based Systems (2 papers)Review of Scientific Instruments (2 papers)Optics Communications (2 papers)IEEE Transactions on Nuclear Science (2 papers)
- Partner nations
- ChinaHong KongSwitzerland
In The Last Decade
Jun Meng
39 papers receiving 243 citations
Peers
Comparison fields: 5 of 71
- Industrial and Manufacturing Engineering 40
- Pollution 47
- Soil Science 29
- Aerospace Engineering 56
- Nuclear and High Energy Physics 18
Countries citing papers authored by Jun Meng
This map shows the geographic impact of Jun Meng'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 Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Meng more than expected).
Fields of papers citing papers by Jun Meng
This network shows the impact of papers produced by Jun Meng. 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 Meng. The network helps show where Jun Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Meng, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 60 | |
| 2 | 2022 | 28 | |
| 3 | 2021 | 19 | |
| 4 | 2023 | 13 | |
| 5 | 2022 | 11 | |
| 6 | 2020 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2001 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2023 | 5 | |
| 11 | 2017 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2002 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2011 | 3 | |
| 20 | 2014 | 3 |
About Jun Meng
Jun Meng is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 246 indexed citations. Recurring topics across this work include Particle accelerators and beam dynamics (13 papers), Particle Accelerators and Free-Electron Lasers (8 papers), Superconducting Materials and Applications (7 papers), Magnetic confinement fusion research (3 papers), Robotic Path Planning Algorithms (3 papers), Structural Analysis and Optimization (3 papers), Soil Carbon and Nitrogen Dynamics (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (40 citations), Pollution (47 citations), Soil Science (29 citations), Aerospace Engineering (56 citations) and Nuclear and High Energy Physics (18 citations). Jun Meng has collaborated with scholars based in China, Hong Kong and Switzerland. Frequent co-authors include Ming Hung Wong, Shengdao Shan, Yun Shi, Peter Christie, Jin Zhang, Xu Li, Feng Zhang, Wenjun Zhu, Chang Liu and Wenfu Chen. Their work appears in journals such as Vacuum, Knowledge-Based Systems, Review of Scientific Instruments, Optics Communications and IEEE Transactions on Nuclear Science.
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.