Zhengfeng Ji
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Computational Theory and Mathematics top 5%
- Statistical and Nonlinear Physics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Runyao DuanMingsheng YingBei ZengYuan FengNengkun YuJianxin ChenAram W. HarrowJeongwan Haah
- Topics
- Quantum Computing Algorithms and Architecture (45 papers)Quantum Information and Cryptography (43 papers)Quantum Mechanics and Applications (34 papers)
In The Last Decade
Zhengfeng Ji
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 927
- Atomic and Molecular Physics, and Optics 750
- Computational Theory and Mathematics 137
- Statistical and Nonlinear Physics 70
- Electrical and Electronic Engineering 27
Countries citing papers authored by Zhengfeng Ji
This map shows the geographic impact of Zhengfeng Ji'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 Zhengfeng Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhengfeng Ji more than expected).
Fields of papers citing papers by Zhengfeng Ji
This network shows the impact of papers produced by Zhengfeng Ji. 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 Zhengfeng Ji. The network helps show where Zhengfeng Ji may publish in the future.
Co-authorship network of co-authors of Zhengfeng Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Zhengfeng Ji. A scholar is included among the top collaborators of Zhengfeng Ji 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 Zhengfeng Ji. Zhengfeng Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 49 | |
| 3 | 35 | |
| 4 | 1 | |
| 5 | 57 | |
| 6 | Principle of Maximum Entropy and Quantum Phase Transitions | 2 |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 39 | |
| 10 | 21 | |
| 11 | 17 | |
| 12 | 1 | |
| 13 | 29 | |
| 14 | 17 | |
| 15 | 70 | |
| 16 | 29 | |
| 17 | 31 | |
| 18 | 15 | |
| 19 | Semantics of a purely quantum programming language | 1 |
| 20 | A relation between quantum operations and the quantum Fourier transform | 1 |
About Zhengfeng Ji
Zhengfeng Ji is a scholar working on Computational Mathematics, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (45 papers), Quantum Information and Cryptography (43 papers) and Quantum Mechanics and Applications (34 papers). The work is most often cited by research in Artificial Intelligence (927 citations), Atomic and Molecular Physics, and Optics (750 citations) and Computational Mathematics (10 citations). Zhengfeng Ji has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Runyao Duan, Mingsheng Ying, Bei Zeng, Yuan Feng, Nengkun Yu, Jianxin Chen, Aram W. Harrow, Jeongwan Haah, Xiaodi Wu and Dawei Lu. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Information Theory and Communications of the ACM.
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.