Jun Qin
- Electrical and Electronic Engineering top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Materials Chemistry
- Topics
- Photonic and Optical Devices (17 papers)Optical Network Technologies (16 papers)Advanced Photonic Communication Systems (12 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsElectrical and Electronic EngineeringAcoustics and Ultrasonics
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Qin
38 papers receiving 732 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Electrical and Electronic Engineering 655
- Atomic and Molecular Physics, and Optics 366
- Artificial Intelligence 163
- Biomedical Engineering 77
- Materials Chemistry 41
Countries citing papers authored by Jun Qin
This map shows the geographic impact of Jun Qin'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 Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Qin more than expected).
Fields of papers citing papers by Jun Qin
This network shows the impact of papers produced by Jun Qin. 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 Qin. The network helps show where Jun Qin may publish in the future.
Co-authorship network of co-authors of Jun Qin
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Qin. A scholar is included among the top collaborators of Jun Qin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Qin. Jun Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | Microcomb-driven silicon photonic systemsbreakdown → | 241 |
| 7 | 0 | |
| 8 | 58 | |
| 9 | 8 | |
| 10 | 66 | |
| 11 | 101 | |
| 12 | 20 | |
| 13 | 1 | |
| 14 | Multichannel wavelength multicasting for two QPSK signals based on four-wave mixing in semiconductor optical amplifier | 1 |
| 15 | 19 | |
| 16 | 11 | |
| 17 | Support Vector Machines Based Algorithm for the Disastrous Weather Forecast | 1 |
| 18 | 13 | |
| 19 | Parallel Motif Search using ParSeq. | 5 |
| 20 | The Modeling Method Study of Fault Fuzzy Forecast System | 3 |
About Jun Qin
Jun Qin is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 43 papers that have together received 803 indexed citations. Recurring topics across this work include Photonic and Optical Devices (17 papers), Optical Network Technologies (16 papers) and Advanced Photonic Communication Systems (12 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (366 citations), Electrical and Electronic Engineering (655 citations) and Acoustics and Ultrasonics (5 citations). Jun Qin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Haowen Shu, Yuansheng Tao, Ming Jin, Xingjun Wang, Zihan Tao, Bitao Shen, Ruixuan Chen, Danshi Wang, Min Zhang and John E. Bowers. Their work appears in journals such as Nature, Chemical Engineering Journal and Science Advances.
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.