Jiangwei Shang
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Statistical and Nonlinear Physics top 10%
- Computational Theory and Mathematics
- Electrical and Electronic Engineering
- Co-authors
- Otfried GühneHui Khoon NgXiao‐Dong YuBerthold‐Georg EnglertHuangjun ZhuZhengyun ZhangTristan KraftRoope Uola
- Topics
- Quantum Information and Cryptography (32 papers)Quantum Computing Algorithms and Architecture (28 papers)Quantum Mechanics and Applications (22 papers)
In The Last Decade
Jiangwei Shang
31 papers receiving 643 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 591
- Atomic and Molecular Physics, and Optics 510
- Statistical and Nonlinear Physics 62
- Computational Theory and Mathematics 21
- Electrical and Electronic Engineering 19
Countries citing papers authored by Jiangwei Shang
This map shows the geographic impact of Jiangwei Shang'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 Jiangwei Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangwei Shang more than expected).
Fields of papers citing papers by Jiangwei Shang
This network shows the impact of papers produced by Jiangwei Shang. 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 Jiangwei Shang. The network helps show where Jiangwei Shang may publish in the future.
Co-authorship network of co-authors of Jiangwei Shang
This figure shows the co-authorship network connecting the top 25 collaborators of Jiangwei Shang. A scholar is included among the top collaborators of Jiangwei Shang 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 Jiangwei Shang. Jiangwei Shang 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 | 2 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 11 | |
| 11 | 22 | |
| 12 | Efficient and practical verification of quantum processes | 2 |
| 13 | 95 | |
| 14 | 16 | |
| 15 | 24 | |
| 16 | 61 | |
| 17 | 47 | |
| 18 | Deterministic realization of superefficient collective measurements via photonic quantum walks | 1 |
| 19 | 11 | |
| 20 | 9 |
About Jiangwei Shang
Jiangwei Shang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Graphics and Computer-Aided Design, having authored 36 papers that have together received 654 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (32 papers), Quantum Computing Algorithms and Architecture (28 papers) and Quantum Mechanics and Applications (22 papers). The work is most often cited by research in Artificial Intelligence (591 citations), Atomic and Molecular Physics, and Optics (510 citations) and Statistical and Nonlinear Physics (62 citations). Jiangwei Shang has collaborated with scholars based in China, Germany and Singapore. Frequent co-authors include Otfried Gühne, Hui Khoon Ng, Xiao‐Dong Yu, Berthold‐Georg Englert, Huangjun Zhu, Zhengyun Zhang, Tristan Kraft, Roope Uola, Xiangdong Zhang and Ali Asadian. Their work appears in journals such as Physical Review Letters, Nature Communications and Physical Review A.
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.