Ying Yin
- Molecular Biology
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Information Systems
- Co-authors
- Anton ArkhipovJohn E. StoneJen HsinKlaus SchultenXizhe ZhangYubo ZhangBo TianJames U. Bowie
- Topics
- Gene expression and cancer classification (6 papers)Bioinformatics and Genomic Networks (4 papers)Privacy-Preserving Technologies in Data (4 papers)
- Cited by
- Statistical and Nonlinear PhysicsModeling and SimulationComputational Theory and Mathematics
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ying Yin
31 papers receiving 347 citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 131
- Statistical and Nonlinear Physics 52
- Artificial Intelligence 51
- Computational Theory and Mathematics 37
- Information Systems 32
Countries citing papers authored by Ying Yin
This map shows the geographic impact of Ying Yin'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 Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Yin more than expected).
Fields of papers citing papers by Ying Yin
This network shows the impact of papers produced by Ying Yin. 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 Yin. The network helps show where Ying Yin may publish in the future.
Co-authorship network of co-authors of Ying Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Yin. A scholar is included among the top collaborators of Ying Yin 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 Yin. Ying Yin 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 | 21 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 13 | |
| 7 | Efficient and Publicly Verifiable Outsourcing of Large-scale Matrix Multiplication | 1 |
| 8 | 13 | |
| 9 | MD- VC Matrix : An Efficient Scheme for Publicly Verifiable Computation of Outsourced Matrix Multiplication. | 0 |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 28 | |
| 13 | 17 | |
| 14 | 9 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | Automatic classification method of ETM+ remote sensing images based on Google Earth. | 1 |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 5 |
About Ying Yin
Ying Yin is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 33 papers that have together received 357 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Bioinformatics and Genomic Networks (4 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (52 citations), Modeling and Simulation (14 citations) and Computational Theory and Mathematics (37 citations). Ying Yin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Anton Arkhipov, John E. Stone, Jen Hsin, Klaus Schulten, Xizhe Zhang, Yubo Zhang, Bo Tian, James U. Bowie, Yuhai Zhao and Nicholas B. Woodall. Their work appears in journals such as PLoS ONE, Journal of Hazardous Materials and IEEE Access.
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.