Liu Ye
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 2%
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Topics
- Quantum Information and Cryptography (105 papers)Quantum Mechanics and Applications (72 papers)Quantum Computing Algorithms and Architecture (67 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsStatistical and Nonlinear Physics
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsPhysics Letters B
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Liu Ye
131 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 1.4k
- Atomic and Molecular Physics, and Optics 1.1k
- Statistical and Nonlinear Physics 141
- Computer Vision and Pattern Recognition 88
- Electrical and Electronic Engineering 55
Countries citing papers authored by Liu Ye
This map shows the geographic impact of Liu Ye'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 Liu Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liu Ye more than expected).
Fields of papers citing papers by Liu Ye
This network shows the impact of papers produced by Liu Ye. 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 Liu Ye. The network helps show where Liu Ye may publish in the future.
Co-authorship network of co-authors of Liu Ye
This figure shows the co-authorship network connecting the top 25 collaborators of Liu Ye. A scholar is included among the top collaborators of Liu Ye 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 Liu Ye. Liu Ye 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 12 | |
| 14 | 61 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | Improved k-means algorithm to quickly locate optimum initial clustering number K | 3 |
| 20 | Application of Multiple Models BP NN Weighting Optimal Controller in medium plate cooling process | 0 |
About Liu Ye
Liu Ye is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Acoustics and Ultrasonics, having authored 141 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (105 papers), Quantum Mechanics and Applications (72 papers) and Quantum Computing Algorithms and Architecture (67 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Atomic and Molecular Physics, and Optics (1.1k citations) and Statistical and Nonlinear Physics (141 citations). Liu Ye has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Dong Wang, Wen‐Hai Zhang, Jiadong Shi, Wen‐Yang Sun, Fei Ming, Wei Xiong, Tao Wu, Philip S. Yu, Yao Wan and Juan He. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Physics Letters B.
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.