Yize Zhou
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
Papers in
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- Privacy-Preserving Technologies in Data 3
- Cryptography and Data Security 1
-
- Mathematical and Theoretical Epidemiology and Ecology Models 2
- Co-authors
- Zhang Wang (2 shared papers)Keqiu Li (2 shared papers)Bingjie Yan (2 shared papers)Naixue Xiong (1 shared paper)Xiangyan Tang (1 shared paper)Jun Wang (1 shared paper)Qi Zou (1 shared paper)Yao Lu (1 shared paper)
- Journals
- Alexandria Engineering Journal (2 papers)Computers, materials & continua/Computers, materials & continua (Print) (1 paper)Connection Science (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)arXiv (Cornell University) (1 paper)
In The Last Decade
Yize Zhou
6 papers receiving 169 citations
Peers
Comparison fields: 5 of 52
- Health Informatics 5
- Artificial Intelligence 117
- Modeling and Simulation 14
- Computer Science Applications 12
- Information Systems 38
Countries citing papers authored by Yize Zhou
This map shows the geographic impact of Yize Zhou'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 Yize Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yize Zhou more than expected).
Fields of papers citing papers by Yize Zhou
This network shows the impact of papers produced by Yize Zhou. 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 Yize Zhou. The network helps show where Yize Zhou may publish in the future.
Co-authors
The 18 scholars most cited alongside Yize Zhou, 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 | 2021 | 124 | |
| 2 | 2020 | 25 | |
| 3 | 2021 | 15 | |
| 4 | 2022 | 7 | |
| 5 | 2023 | 5 | |
| 6 | Federated Learning in Smart Cities: A Comprehensive Survey. | 2021 | 3 |
About Yize Zhou
Yize Zhou is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health, Computer Science Applications, Modeling and Simulation and Computer Networks and Communications, having authored 6 papers that have together received 179 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Complex Network Analysis Techniques (1 paper), COVID-19 diagnosis using AI (1 paper), Cryptography and Data Security (1 paper), COVID-19 epidemiological studies (1 paper) and Nonlinear Differential Equations Analysis (1 paper). The work is most often cited by research in Health Informatics (5 citations), Artificial Intelligence (117 citations), Modeling and Simulation (14 citations), Computer Science Applications (12 citations) and Information Systems (38 citations). Yize Zhou has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Zhang Wang, Keqiu Li, Bingjie Yan, Naixue Xiong, Xiangyan Tang, Jun Wang, Qi Zou, Yao Lu, Boyi Liu and Wenxuan Tu. Their work appears in journals such as Alexandria Engineering Journal, Computers, materials & continua/Computers, materials & continua (Print), Connection Science, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and arXiv (Cornell University).
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.