Jun Mao
Impact in
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- Topological Materials and Phenomena
- Quantum Mechanics and Non-Hermitian Physics
- Advanced Fiber Laser Technologies
Papers in
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- Topological Materials and Phenomena 2
- Quantum Mechanics and Applications 2
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- Quantum Information and Cryptography 5
- Neural Networks and Reservoir Computing 3
- Co-authors
- Chonghao Zhai (6 shared papers)Yun Zheng (5 shared papers)Jianwei Wang (8 shared papers)Tianxiang Dai (7 shared papers)Qihuang Gong (8 shared papers)Yan Yang (6 shared papers)Junxian Chen (4 shared papers)He Huang (3 shared papers)
In The Last Decade
Jun Mao
18 papers receiving 346 citations
Jun Mao's Hit Papers
Peers
Comparison fields: 5 of 64
- Pollution 56
- Atomic and Molecular Physics, and Optics 136
- Acoustics and Ultrasonics 3
- Artificial Intelligence 80
- Statistical and Nonlinear Physics 27
Countries citing papers authored by Jun Mao
This map shows the geographic impact of Jun Mao'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 Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Mao more than expected).
Fields of papers citing papers by Jun Mao
This network shows the impact of papers produced by Jun Mao. 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 Mao. The network helps show where Jun Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Mao, 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 | 2023 | 65 | |
| 2 | 2023 | 54 | |
| 3 | 2024 | 52 | |
| 4 | 2020 | 39 | |
| 5 | 2021 | 26 | |
| 6 | Continuous-variable multipartite entanglement in an integrated microcomb Hit paper breakdown → | 2025 | 22 |
| 7 | 2019 | 18 | |
| 8 | 2022 | 16 | |
| 9 | 2023 | 15 | |
| 10 | 2021 | 14 | |
| 11 | 2025 | 12 | |
| 12 | 2008 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2015 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2022 | 0 |
About Jun Mao
Jun Mao is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Electrical and Electronic Engineering, Mechanical Engineering and Pollution, having authored 19 papers that have together received 356 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (5 papers), Electronic Packaging and Soldering Technologies (5 papers), Aluminum Alloys Composites Properties (3 papers), Heavy metals in environment (3 papers), Neural Networks and Reservoir Computing (3 papers), Intermetallics and Advanced Alloy Properties (3 papers), Topological Materials and Phenomena (2 papers) and Quantum Mechanics and Applications (2 papers). The work is most often cited by research in Pollution (56 citations), Atomic and Molecular Physics, and Optics (136 citations), Acoustics and Ultrasonics (3 citations), Artificial Intelligence (80 citations) and Statistical and Nonlinear Physics (27 citations). Jun Mao has collaborated with scholars based in China, Hong Kong and Austria. Frequent co-authors include Chonghao Zhai, Yun Zheng, Jianwei Wang, Tianxiang Dai, Qihuang Gong, Yan Yang, Junxian Chen, He Huang, Chaolan Zhang and Wenchao Yang. Their work appears in journals such as Journal of Soils and Sediments, Journal of Materials Science Materials in Electronics, Materials, Light Science & Applications and Nature Photonics.
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.