Nian-Quan Jiang
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 5%
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Materials Chemistry
- Co-authors
- Hong-Yi FanYi-Zhuang ZhengFan Hong‐YiLinhua HuWeiqing LiuDongxing KouSongyuan DaiYi Zhang
- Topics
- Quantum Information and Cryptography (51 papers)Quantum Mechanics and Applications (33 papers)Quantum Computing Algorithms and Architecture (25 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceRenewable Energy, Sustainability and the Environment
- Partner nations
- China
In The Last Decade
Nian-Quan Jiang
61 papers receiving 439 citations
Peers
Comparison fields: 5 of 39
- Atomic and Molecular Physics, and Optics 341
- Artificial Intelligence 307
- Renewable Energy, Sustainability and the Environment 78
- Electrical and Electronic Engineering 75
- Materials Chemistry 65
Countries citing papers authored by Nian-Quan Jiang
This map shows the geographic impact of Nian-Quan Jiang'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 Nian-Quan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nian-Quan Jiang more than expected).
Fields of papers citing papers by Nian-Quan Jiang
This network shows the impact of papers produced by Nian-Quan Jiang. 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 Nian-Quan Jiang. The network helps show where Nian-Quan Jiang may publish in the future.
Co-authorship network of co-authors of Nian-Quan Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Nian-Quan Jiang. A scholar is included among the top collaborators of Nian-Quan Jiang 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 Nian-Quan Jiang. Nian-Quan Jiang 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 | 3 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 23 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 38 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 7 |
About Nian-Quan Jiang
Nian-Quan Jiang is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Applied Mathematics, having authored 65 papers that have together received 493 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (51 papers), Quantum Mechanics and Applications (33 papers) and Quantum Computing Algorithms and Architecture (25 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (341 citations), Artificial Intelligence (307 citations) and Renewable Energy, Sustainability and the Environment (78 citations). Nian-Quan Jiang has collaborated with scholars based in China. Frequent co-authors include Hong-Yi Fan, Yi-Zhuang Zheng, Fan Hong‐Yi, Linhua Hu, Weiqing Liu, Dongxing Kou, Songyuan Dai, Hong-Yi Fan, Yi Zhang and Liyun Hu. Their work appears in journals such as ACS Applied Materials & Interfaces, The Journal of Physical Chemistry C 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.