Zhi Zhou
- Computer Networks and Communications top 0.2%
- IoT and Edge/Fog Computing 68
- Age of Information Optimization 32
- Caching and Content Delivery 16
- Information Systems top 0.2%
- Cloud Computing and Resource Management 21
- Blockchain Technology Applications and Security 12
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- Advanced Neural Network Applications 15
- Artificial Intelligence top 0.5%
- Privacy-Preserving Technologies in Data 23
- Stochastic Gradient Optimization Techniques 12
- Co-authors
- Xu ChenEn LiLiekang ZengJunshan ZhangKe LuoQiong WuTao OuyangShuai Yu
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Zhi Zhou
154 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Computer Networks and Communications 4.1k
- Information Systems 1.5k
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 1.9k
- Computer Science Applications 295
Countries citing papers authored by Zhi Zhou
This map shows the geographic impact of Zhi 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 Zhi Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhi Zhou more than expected).
Fields of papers citing papers by Zhi Zhou
This network shows the impact of papers produced by Zhi 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 Zhi Zhou. The network helps show where Zhi Zhou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhi 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 6 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 13 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 12 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 62 | |
| 17 | Research on Value Assessment Methods of the NEWOTCBB Listed Company | 2015 | 1 |
| 18 | Fuzzy AHP evaluation of engineering project risk | 2006 | 0 |
| 19 | An algorithm for detecting and tracking human faces Based on chromatic histograms and backprojection | 2003 | 1 |
| 20 | Research on Application Framework of Railway Geographic Information System in China Railway Administration | 2003 | 0 |
About Zhi Zhou
Zhi Zhou is a scholar working on Computer Networks and Communications, Computer Science Applications and Information Systems, having authored 166 papers that have together received 6.6k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (68 papers), Age of Information Optimization (32 papers), Privacy-Preserving Technologies in Data (23 papers), Cloud Computing and Resource Management (21 papers), Caching and Content Delivery (16 papers), Advanced Neural Network Applications (15 papers), Blockchain Technology Applications and Security (12 papers) and Stochastic Gradient Optimization Techniques (12 papers). The work is most often cited by research in Computer Networks and Communications (4.1k citations), Information Systems (1.5k citations) and Computer Vision and Pattern Recognition (1.3k citations). Zhi Zhou has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xu Chen, En Li, Liekang Zeng, Junshan Zhang, Ke Luo, Qiong Wu, Tao Ouyang, Shuai Yu, Fangming Liu and Fei Xu. Their work appears in journals such as Nature Communications, Proceedings of the IEEE and Acta Materialia.
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.