Jin‐Shi Xu
- Atomic and Molecular Physics, and Optics top 1%
- Artificial Intelligence top 0.5%
- Materials Chemistry top 10%
- Electrical and Electronic Engineering top 10%
- Statistical and Nonlinear Physics top 2%
- Topics
- Quantum Information and Cryptography (71 papers)Quantum Mechanics and Applications (55 papers)Quantum Computing Algorithms and Architecture (35 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNature Communications
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Jin‐Shi Xu
120 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Atomic and Molecular Physics, and Optics 2.2k
- Artificial Intelligence 1.7k
- Materials Chemistry 562
- Electrical and Electronic Engineering 542
- Statistical and Nonlinear Physics 280
Countries citing papers authored by Jin‐Shi Xu
This map shows the geographic impact of Jin‐Shi Xu'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 Jin‐Shi Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Shi Xu more than expected).
Fields of papers citing papers by Jin‐Shi Xu
This network shows the impact of papers produced by Jin‐Shi Xu. 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 Jin‐Shi Xu. The network helps show where Jin‐Shi Xu may publish in the future.
Co-authorship network of co-authors of Jin‐Shi Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Shi Xu. A scholar is included among the top collaborators of Jin‐Shi Xu 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 Jin‐Shi Xu. Jin‐Shi Xu 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 35 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 11 | |
| 14 | 20 | |
| 15 | 4 | |
| 16 | 15 | |
| 17 | 21 | |
| 18 | 11 | |
| 19 | 24 | |
| 20 | Experimentally identifying the transition from quantum to classical with Leggett-Garg inequalities | 1 |
About Jin‐Shi Xu
Jin‐Shi Xu is a scholar working on Acoustics and Ultrasonics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 130 papers that have together received 2.9k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (71 papers), Quantum Mechanics and Applications (55 papers) and Quantum Computing Algorithms and Architecture (35 papers). The work is most often cited by research in Acoustics and Ultrasonics (65 citations), Atomic and Molecular Physics, and Optics (2.2k citations) and Artificial Intelligence (1.7k citations). Jin‐Shi Xu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Chuan‐Feng Li, Guang‐Can Guo, Guang‐Can Guo, Xu‐Bo Zou, Xiao‐Ye Xu, Xiao-Ye Xu, Chengjie Zhang, Geng Chen, Qiang Li and Zhenghao Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.
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.