Huangjun Zhu
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 2%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Masahito HayashiLin ChenBerthold‐Georg EnglertYong Siah TeoShao-Ming FeiJiangwei ShangZihao LiChristopher A. Fuchs
- Topics
- Quantum Information and Cryptography (44 papers)Quantum Computing Algorithms and Architecture (41 papers)Quantum Mechanics and Applications (36 papers)
In The Last Decade
Huangjun Zhu
57 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 1.3k
- Atomic and Molecular Physics, and Optics 1.1k
- Statistical and Nonlinear Physics 135
- Computational Theory and Mathematics 74
- Electrical and Electronic Engineering 59
Countries citing papers authored by Huangjun Zhu
This map shows the geographic impact of Huangjun Zhu'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 Huangjun Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huangjun Zhu more than expected).
Fields of papers citing papers by Huangjun Zhu
This network shows the impact of papers produced by Huangjun Zhu. 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 Huangjun Zhu. The network helps show where Huangjun Zhu may publish in the future.
Co-authorship network of co-authors of Huangjun Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Huangjun Zhu. A scholar is included among the top collaborators of Huangjun Zhu 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 Huangjun Zhu. Huangjun Zhu 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 | 6 | |
| 3 | 8 | |
| 4 | Minimum uncertainty states in the presence of quantum memory | 1 |
| 5 | 22 | |
| 6 | 52 | |
| 7 | 12 | |
| 8 | 25 | |
| 9 | 61 | |
| 10 | Entropic scrambling complexities | 1 |
| 11 | Deterministic realization of superefficient collective measurements via photonic quantum walks | 1 |
| 12 | 32 | |
| 13 | 26 | |
| 14 | 49 | |
| 15 | 42 | |
| 16 | 23 | |
| 17 | 33 | |
| 18 | 23 | |
| 19 | 81 | |
| 20 | 14 |
About Huangjun Zhu
Huangjun Zhu is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Mathematical Physics, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (44 papers), Quantum Computing Algorithms and Architecture (41 papers) and Quantum Mechanics and Applications (36 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Atomic and Molecular Physics, and Optics (1.1k citations) and Computational Mathematics (21 citations). Huangjun Zhu has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Masahito Hayashi, Lin Chen, Berthold‐Georg Englert, Yong Siah Teo, Shao-Ming Fei, Jiangwei Shang, Zihao Li, Christopher A. Fuchs, Zhibo Hou and Chuan‐Feng Li. Their work appears in journals such as Physical Review Letters, Nature Communications and Scientific Reports.
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.