Ying‐Hui Yang
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 5%
- Computational Theory and Mathematics top 10%
- Organic Chemistry
- Electrical and Electronic Engineering
- Co-authors
- Fei GaoQiaoyan WenSu‐Juan QinGuang‐Bao XuZhichao ZhangGuojing TianHui-Juan ZuoHeng-Yue Jia
- Topics
- Quantum Information and Cryptography (30 papers)Quantum Computing Algorithms and Architecture (27 papers)Quantum Mechanics and Applications (22 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ying‐Hui Yang
38 papers receiving 512 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 454
- Atomic and Molecular Physics, and Optics 411
- Computational Theory and Mathematics 51
- Organic Chemistry 24
- Electrical and Electronic Engineering 22
Countries citing papers authored by Ying‐Hui Yang
This map shows the geographic impact of Ying‐Hui Yang'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 Ying‐Hui Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Hui Yang more than expected).
Fields of papers citing papers by Ying‐Hui Yang
This network shows the impact of papers produced by Ying‐Hui Yang. 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 Ying‐Hui Yang. The network helps show where Ying‐Hui Yang may publish in the future.
Co-authorship network of co-authors of Ying‐Hui Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Hui Yang. A scholar is included among the top collaborators of Ying‐Hui Yang 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 Ying‐Hui Yang. Ying‐Hui Yang 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 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | Exploring Machine Learning Models for Cloud Microphysics Parameterizations | 1 |
| 12 | 15 | |
| 13 | 4 | |
| 14 | 18 | |
| 15 | 23 | |
| 16 | 58 | |
| 17 | 2 | |
| 18 | 8 | |
| 19 | 12 | |
| 20 | 18 |
About Ying‐Hui Yang
Ying‐Hui Yang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Health Information Management, having authored 40 papers that have together received 525 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (30 papers), Quantum Computing Algorithms and Architecture (27 papers) and Quantum Mechanics and Applications (22 papers). The work is most often cited by research in Artificial Intelligence (454 citations), Atomic and Molecular Physics, and Optics (411 citations) and Computational Theory and Mathematics (51 citations). Ying‐Hui Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Fei Gao, Qiaoyan Wen, Su‐Juan Qin, Guang‐Bao Xu, Zhichao Zhang, Guojing Tian, Hui-Juan Zuo, Heng-Yue Jia, Wei Huang and Balaji Padmanabhan. Their work appears in journals such as Scientific Reports, Physical Review A and Synthesis.
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.