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 12
- Robotics and Sensor-Based Localization 3
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- Particle Accelerators and Free-Electron Lasers 7
- Co-authors
- Ming Hung Wong (1 shared paper)Jin Zhang (1 shared paper)Peter Christie (1 shared paper)Yun Shi (1 shared paper)Shengdao Shan (2 shared papers)Xu Li (2 shared papers)Zuyi Wang (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 KongUnited States
In The Last Decade
Jun Meng
40 papers receiving 213 citations
Peers
Comparison fields: 5 of 71
- Industrial and Manufacturing Engineering 37
- Pollution 41
- Soil Science 29
- Aerospace Engineering 52
- Computer Vision and Pattern Recognition 24
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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 50 | |
| 2 | 2022 | 26 | |
| 3 | 2021 | 17 | |
| 4 | 2023 | 12 | |
| 5 | 2022 | 11 | |
| 6 | 2023 | 10 | |
| 7 | 2001 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2017 | 5 | |
| 10 | 2025 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2002 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2011 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2018 | 3 |
About Jun Meng
Jun Meng is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 47 papers that have together received 218 indexed citations. Recurring topics across this work include Particle accelerators and beam dynamics (12 papers), Particle Accelerators and Free-Electron Lasers (7 papers), Superconducting Materials and Applications (7 papers), Robotic Path Planning Algorithms (3 papers), Magnetic confinement fusion research (3 papers), Soil Carbon and Nitrogen Dynamics (3 papers), Robotics and Sensor-Based Localization (3 papers) and Structural Analysis and Optimization (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (37 citations), Pollution (41 citations), Soil Science (29 citations), Aerospace Engineering (52 citations) and Computer Vision and Pattern Recognition (24 citations). Jun Meng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ming Hung Wong, Jin Zhang, Peter Christie, Yun Shi, Shengdao Shan, Xu Li, Zuyi Wang, Wenjun Zhu, Feng Zhang and Huadong Wu. 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.