Yuhou Xia
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
- Internet Traffic Analysis and Secure E-voting
Papers in
-
- Privacy-Preserving Technologies in Data 3
- Cryptography and Data Security 3
- Quantum Computing Algorithms and Architecture 1
- Machine Learning in Healthcare 1
- Co-authors
- Yongsoo Song (2 shared papers)Xiaoqian Jiang (2 shared papers)Miran Kim (2 shared papers)Shuang Wang (2 shared papers)Kristin Lauter (1 shared paper)Peter Rindal (1 shared paper)Kim Laine (1 shared paper)Hao Chen (1 shared paper)
- Journals
- Mathematische Annalen (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Physical Review A (1 paper)BMC Medical Genomics (1 paper)JMIR Medical Informatics (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Yuhou Xia
5 papers receiving 195 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 163
- Health Informatics 6
- Information Systems 34
- Computational Theory and Mathematics 21
- Computer Vision and Pattern Recognition 24
Countries citing papers authored by Yuhou Xia
This map shows the geographic impact of Yuhou Xia'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 Yuhou Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhou Xia more than expected).
Fields of papers citing papers by Yuhou Xia
This network shows the impact of papers produced by Yuhou Xia. 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 Yuhou Xia. The network helps show where Yuhou Xia may publish in the future.
Co-authors
The 13 scholars most cited alongside Yuhou Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 137 | |
| 2 | 2017 | 32 | |
| 3 | 2018 | 23 | |
| 4 | 2011 | 6 | |
| 5 | 2018 | 4 |
About Yuhou Xia
Yuhou Xia is a scholar working on Artificial Intelligence, Discrete Mathematics and Combinatorics, Mathematical Physics, Information Systems and Geometry and Topology, having authored 5 papers that have together received 202 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (3 papers), Cryptography and Data Security (3 papers), Oral and gingival health research (1 paper), Algebraic Geometry and Number Theory (1 paper), Advanced Algebra and Geometry (1 paper), Quantum Computing Algorithms and Architecture (1 paper), Quantum chaos and dynamical systems (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Artificial Intelligence (163 citations), Health Informatics (6 citations), Information Systems (34 citations), Computational Theory and Mathematics (21 citations) and Computer Vision and Pattern Recognition (24 citations). Yuhou Xia has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Yongsoo Song, Xiaoqian Jiang, Miran Kim, Shuang Wang, Kristin Lauter, Peter Rindal, Kim Laine, Hao Chen, Daniel A. Lidar and Yichen Jiang. Their work appears in journals such as Mathematische Annalen, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Physical Review A, BMC Medical Genomics and JMIR Medical Informatics.
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.