Ruiting Zhou

1.2k total citations
69 papers, 838 citations indexed

About

Ruiting Zhou is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ruiting Zhou has authored 69 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Networks and Communications, 27 papers in Artificial Intelligence and 23 papers in Information Systems. Recurrent topics in Ruiting Zhou's work include IoT and Edge/Fog Computing (22 papers), Privacy-Preserving Technologies in Data (17 papers) and Cloud Computing and Resource Management (14 papers). Ruiting Zhou is often cited by papers focused on IoT and Edge/Fog Computing (22 papers), Privacy-Preserving Technologies in Data (17 papers) and Cloud Computing and Resource Management (14 papers). Ruiting Zhou collaborates with scholars based in China, Hong Kong and Canada. Ruiting Zhou's co-authors include Zongpeng Li, Chuan Wu, Haisheng Tan, Lei Jiao, John C. S. Lui, Renli Zhang, Zhiyi Huang, Xiaoyi Wu, Zhi Zhou and Xu Chen and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Wireless Communications and IEEE Transactions on Computers.

In The Last Decade

Ruiting Zhou

65 papers receiving 827 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ruiting Zhou China 15 513 288 242 213 104 69 838
Lingjun Pu China 14 795 1.5× 217 0.8× 204 0.8× 388 1.8× 187 1.8× 41 1.0k
Jinliang Xu China 10 690 1.3× 362 1.3× 128 0.5× 207 1.0× 54 0.5× 14 847
Zicong Hong China 15 808 1.6× 748 2.6× 440 1.8× 200 0.9× 131 1.3× 43 1.3k
Xiaoyu Qiu China 9 482 0.9× 297 1.0× 169 0.7× 183 0.9× 45 0.4× 12 711
Minh N. H. Nguyen South Korea 11 463 0.9× 181 0.6× 824 3.4× 349 1.6× 198 1.9× 33 1.1k
Saiqin Long China 14 398 0.8× 282 1.0× 136 0.6× 117 0.5× 72 0.7× 57 667
Yunan Gu United States 16 863 1.7× 133 0.5× 105 0.4× 755 3.5× 66 0.6× 29 1.2k
Shichao Xia China 10 398 0.8× 131 0.5× 141 0.6× 252 1.2× 34 0.3× 26 642

Countries citing papers authored by Ruiting Zhou

Since Specialization
Citations

This map shows the geographic impact of Ruiting 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 Ruiting Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruiting Zhou more than expected).

Fields of papers citing papers by Ruiting Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruiting 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 Ruiting Zhou. The network helps show where Ruiting Zhou may publish in the future.

Co-authorship network of co-authors of Ruiting Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiting Zhou. A scholar is included among the top collaborators of Ruiting Zhou 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 Ruiting Zhou. Ruiting Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhou, Ruiting, et al.. (2025). User Preference Oriented Service Caching and Task Offloading for UAV-Assisted MEC Networks. IEEE Transactions on Services Computing. 18(2). 1097–1109. 5 indexed citations
2.
Dong, Fang, et al.. (2024). ADPTD: Adaptive Data Partition With Unbiased Task Dispatching for Video Analytics at the Edge. IEEE Internet of Things Journal. 12(6). 7434–7445.
3.
Zhou, Ruiting, et al.. (2024). Efficient and Intelligent Multijob Federated Learning in Wireless Networks. IEEE Internet of Things Journal. 12(7). 8685–8698.
4.
Zhou, Ruiting, et al.. (2024). Incentive Mechanisms for Online Task Offloading With Privacy-Preserving in UAV-Assisted Mobile Edge Computing. IEEE/ACM Transactions on Networking. 32(3). 2646–2661. 12 indexed citations
5.
Chen, Junmei, et al.. (2023). Advanced Elastic Reed–Solomon Codes for Erasure-Coded Key–Value Stores. IEEE Internet of Things Journal. 11(3). 4747–4762. 1 indexed citations
6.
Zhou, Ruiting, et al.. (2023). Low-Latency Hierarchical Federated Learning in Wireless Edge Networks. IEEE Internet of Things Journal. 11(4). 6943–6960. 9 indexed citations
7.
Zhou, Ruiting, et al.. (2023). A Reinforcement Learning Approach for Minimizing Job Completion Time in Clustered Federated Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–10. 8 indexed citations
8.
Zhou, Ruiting, et al.. (2023). Heterogeneous Federated Learning for Balancing Job Completion Time and Model Accuracy. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2 indexed citations
9.
Zhou, Ruiting. (2022). Preparation of Photocatalyst, Reaction Mechanism and Its Application in Environmental Control. Highlights in Science Engineering and Technology. 26. 461–468.
10.
Zhou, Ruiting, Xiaoyi Wu, Haisheng Tan, & Renli Zhang. (2022). Two Time-Scale Joint Service Caching and Task Offloading for UAV-assisted Mobile Edge Computing. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. 1189–1198. 61 indexed citations
11.
Zhou, Ruiting, et al.. (2022). Preemptive Scheduling for Distributed Machine Learning Jobs in Edge-Cloud Networks. IEEE Journal on Selected Areas in Communications. 40(8). 2411–2425. 12 indexed citations
12.
Zhou, Zhi, Xu Chen, Ruiting Zhou, et al.. (2022). EdgeAdaptor: Online Configuration Adaption, Model Selection and Resource Provisioning for Edge DNN Inference Serving at Scale. IEEE Transactions on Mobile Computing. 22(10). 5870–5886. 62 indexed citations
13.
Zhou, Ruiting, et al.. (2022). DPS: Dynamic Pricing and Scheduling for Distributed Machine Learning Jobs in Edge-Cloud Networks. IEEE Transactions on Mobile Computing. 22(11). 6377–6393. 10 indexed citations
14.
Zhou, Ruiting, et al.. (2022). Multi-agent Multi-armed Bandit Learning for Content Caching in Edge Networks. 11–16. 5 indexed citations
15.
Zhou, Ruiting, et al.. (2022). Online Scheduling of Distributed Machine Learning Jobs for Incentivizing Sharing in Multi-Tenant Systems. IEEE Transactions on Computers. 1–1. 6 indexed citations
16.
Zhou, Ruiting, et al.. (2020). Emergency demand response in edge computing. EURASIP Journal on Wireless Communications and Networking. 2020(1). 3 indexed citations
17.
Jiao, Lei, et al.. (2020). Scheduling DDoS Cloud Scrubbing in ISP Networks via Randomized Online Auctions. 1658–1667. 10 indexed citations
18.
Li, Xiaotong, et al.. (2019). Online Placement and Scaling of Geo-Distributed Machine Learning Jobs via Volume-Discounting Brokerage. IEEE Transactions on Parallel and Distributed Systems. 31(4). 948–966. 7 indexed citations
19.
Zhou, Ruiting, Zongpeng Li, & Chuan Wu. (2018). Scheduling Frameworks for Cloud Container Services. IEEE/ACM Transactions on Networking. 26(1). 436–450. 31 indexed citations
20.
Zhou, Ruiting, Zongpeng Li, Chuan Wu, & Carey Williamson. (2012). Buddy Routing: A Routing Paradigm for NanoNets Based on Physical Layer Network Coding. The HKU Scholars Hub (University of Hong Kong). 1–7. 3 indexed citations

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.

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