Yize Zhou
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- 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
- Keqiu Li (2 shared papers)Zhang Wang (2 shared papers)Bingjie Yan (3 shared papers)Boyi Liu (2 shared papers)Yifan Yang (1 shared paper)Yixian Zhang (1 shared paper)Jieren Cheng (1 shared paper)Chunjuan Wang (1 shared paper)
- Journals
- Alexandria Engineering Journal (2 papers)Connection Science (1 paper)Computers, materials & continua/Computers, materials & continua (Print) (1 paper)Communications in computer and information science (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)
In The Last Decade
Yize Zhou
7 papers receiving 292 citations
Peers
Comparison fields: 5 of 58
- Health Informatics 33
- Artificial Intelligence 204
- Modeling and Simulation 13
- Radiology, Nuclear Medicine and Imaging 59
- Computer Science Applications 14
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 23 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 | 142 | |
| 2 | 2021 | 97 | |
| 3 | 2020 | 29 | |
| 4 | 2021 | 16 | |
| 5 | 2022 | 9 | |
| 6 | 2023 | 5 | |
| 7 | 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, Radiology, Nuclear Medicine and Imaging, Computer Science Applications and Modeling and Simulation, having authored 7 papers that have together received 301 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), COVID-19 diagnosis using AI (2 papers), Data-Driven Disease Surveillance (1 paper), Cryptography and Data Security (1 paper), COVID-19 epidemiological studies (1 paper) and Age of Information Optimization (1 paper). The work is most often cited by research in Health Informatics (33 citations), Artificial Intelligence (204 citations), Modeling and Simulation (13 citations), Radiology, Nuclear Medicine and Imaging (59 citations) and Computer Science Applications (14 citations). Yize Zhou has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Keqiu Li, Zhang Wang, Bingjie Yan, Boyi Liu, Yifan Yang, Yixian Zhang, Jieren Cheng, Chunjuan Wang, Li Liu and Haohua Wang. Their work appears in journals such as Alexandria Engineering Journal, Connection Science, Computers, materials & continua/Computers, materials & continua (Print), Communications in computer and information science and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.