Jinjing Shi
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Topics
- Quantum Computing Algorithms and Architecture (68 papers)Quantum Information and Cryptography (61 papers)Quantum Mechanics and Applications (27 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsInformation Sciences
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Jinjing Shi
81 papers receiving 789 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 657
- Atomic and Molecular Physics, and Optics 318
- Computational Theory and Mathematics 107
- Information Systems 81
- Computer Vision and Pattern Recognition 71
Countries citing papers authored by Jinjing Shi
This map shows the geographic impact of Jinjing Shi'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 Jinjing Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinjing Shi more than expected).
Fields of papers citing papers by Jinjing Shi
This network shows the impact of papers produced by Jinjing Shi. 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 Jinjing Shi. The network helps show where Jinjing Shi may publish in the future.
Co-authorship network of co-authors of Jinjing Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Jinjing Shi. A scholar is included among the top collaborators of Jinjing Shi 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 Jinjing Shi. Jinjing Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | 25 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 15 | |
| 15 | 10 | |
| 16 | 31 | |
| 17 | 16 | |
| 18 | 4 | |
| 19 | 18 | |
| 20 | 12 |
About Jinjing Shi
Jinjing Shi is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 89 papers that have together received 836 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (68 papers), Quantum Information and Cryptography (61 papers) and Quantum Mechanics and Applications (27 papers). The work is most often cited by research in Artificial Intelligence (657 citations), Atomic and Molecular Physics, and Optics (318 citations) and Computational Theory and Mathematics (107 citations). Jinjing Shi has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Ronghua Shi, Yanyan Feng, Ying Guo, Shichao Zhang, Qin Li, Xuelong Li, Ying Tang, Xiaoqi Peng, Moon Ho Lee and Fangfang Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Information Sciences.
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.