Jie Song
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- Quantum optics and atomic interactions 71
- Quantum Mechanics and Applications 53
- Quantum and electron transport phenomena 40
- Mechanical and Optical Resonators 38
- Cold Atom Physics and Bose-Einstein Condensates 34
- Artificial Intelligence top 0.2%
- Quantum Information and Cryptography 165
- Quantum Computing Algorithms and Architecture 48
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- Metamaterials and Metasurfaces Applications 22
- Acoustics and Ultrasonics top 10%
- Co-authors
- Yan XiaYe‐Hong ChenZhi‐Cheng ShiYongyuan JiangHe‐Shan SongYi‐Hao KangQing-Qin ChenBi‐Hua Huang
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceElectronic, Optical and Magnetic Materials
- Journals
- The Journal of Chemical Physics (1 paper)Applied Physics Letters (2 papers)Journal of Applied Physics (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jie Song
217 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 83
- Atomic and Molecular Physics, and Optics 3.0k
- Artificial Intelligence 2.7k
- Electronic, Optical and Magnetic Materials 408
- Acoustics and Ultrasonics 18
- Statistical and Nonlinear Physics 184
Countries citing papers authored by Jie Song
This map shows the geographic impact of Jie Song'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 Jie Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Song more than expected).
Fields of papers citing papers by Jie Song
This network shows the impact of papers produced by Jie Song. 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 Jie Song. The network helps show where Jie Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jie Song, 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 | 2024 | 7 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 9 | |
| 6 | 2023 | 25 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 6 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2019 | 1 | |
| 17 | 2019 | 16 | |
| 18 | 2019 | 8 | |
| 19 | 2018 | 4 | |
| 20 | 2011 | 7 |
About Jie Song
Jie Song is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electronic, Optical and Magnetic Materials, having authored 223 papers that have together received 3.6k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (165 papers), Quantum optics and atomic interactions (71 papers), Quantum Mechanics and Applications (53 papers), Quantum Computing Algorithms and Architecture (48 papers), Quantum and electron transport phenomena (40 papers), Mechanical and Optical Resonators (38 papers), Cold Atom Physics and Bose-Einstein Condensates (34 papers) and Metamaterials and Metasurfaces Applications (22 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (3.0k citations), Artificial Intelligence (2.7k citations) and Electronic, Optical and Magnetic Materials (408 citations). Jie Song has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yan Xia, Ye‐Hong Chen, Zhi‐Cheng Shi, Yongyuan Jiang, He‐Shan Song, Yi‐Hao Kang, Qing-Qin Chen, Bi‐Hua Huang, Jin‐Lei Wu and Yan Wang. Their work appears in journals such as The Journal of Chemical Physics, Applied Physics Letters and Journal of Applied Physics.
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.