Yue Jiang
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics top 10%
- Statistical and Nonlinear Physics top 5%
- Nuclear and High Energy Physics
- Co-authors
- Shengwang DuYing ZuoYujun ZhaoBohan LiPeng ChenJunwei LiuGyu-Boong JoYefeng Mei
- Topics
- Atomic and Subatomic Physics Research (4 papers)Quantum optics and atomic interactions (4 papers)Cold Atom Physics and Bose-Einstein Condensates (3 papers)
- Journals
- Physical Review LettersApplied Physics LettersIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Yue Jiang
17 papers receiving 523 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 337
- Electrical and Electronic Engineering 280
- Atomic and Molecular Physics, and Optics 229
- Statistical and Nonlinear Physics 111
- Nuclear and High Energy Physics 35
Countries citing papers authored by Yue Jiang
This map shows the geographic impact of Yue 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 Yue Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Jiang more than expected).
Fields of papers citing papers by Yue Jiang
This network shows the impact of papers produced by Yue 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 Yue Jiang. The network helps show where Yue Jiang may publish in the future.
Co-authorship network of co-authors of Yue Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Yue Jiang. A scholar is included among the top collaborators of Yue 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 Yue Jiang. Yue 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 | 1 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 84 | |
| 11 | 11 | |
| 12 | All-optical neural network with nonlinear activation functionsbreakdown → | 307 |
| 13 | 69 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | Results of a Search for Axion-Like Particles using the Yale Microwave Cavity Experiment | 1 |
| 17 | 26 |
About Yue Jiang
Yue Jiang is a scholar working on Atomic and Molecular Physics, and Optics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics, having authored 17 papers that have together received 551 indexed citations. Recurring topics across this work include Atomic and Subatomic Physics Research (4 papers), Quantum optics and atomic interactions (4 papers) and Cold Atom Physics and Bose-Einstein Condensates (3 papers). The work is most often cited by research in Acoustics and Ultrasonics (21 citations), Artificial Intelligence (337 citations) and Statistical and Nonlinear Physics (111 citations). Yue Jiang has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Shengwang Du, Ying Zuo, Yujun Zhao, Bohan Li, Peng Chen, Junwei Liu, Gyu-Boong Jo, Yefeng Mei, Xianxin Guo and Jianming Wen. Their work appears in journals such as Physical Review Letters, Applied Physics Letters and IEEE Transactions on Knowledge and Data Engineering.
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.