Xiaokang Zhou

11.6k total citations · 14 hit papers
214 papers, 6.9k citations indexed

About

Xiaokang Zhou is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Xiaokang Zhou has authored 214 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Artificial Intelligence, 79 papers in Computer Networks and Communications and 59 papers in Information Systems. Recurrent topics in Xiaokang Zhou's work include IoT and Edge/Fog Computing (29 papers), Privacy-Preserving Technologies in Data (29 papers) and Recommender Systems and Techniques (26 papers). Xiaokang Zhou is often cited by papers focused on IoT and Edge/Fog Computing (29 papers), Privacy-Preserving Technologies in Data (29 papers) and Recommender Systems and Techniques (26 papers). Xiaokang Zhou collaborates with scholars based in Japan, China and New Zealand. Xiaokang Zhou's co-authors include Wei Liang, Kevin I‐Kai Wang, Qun Jin, Jianhua Ma, Zheng Yan, Shohei Shimizu, Laurence T. Yang, Ke Yan, Yue Li and Xiaolong Xu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Xiaokang Zhou

190 papers receiving 6.7k citations

Hit Papers

Deep-Learning-Enhanced Human Activity Recognition for Int... 2020 2026 2022 2024 2020 2020 2020 2020 2021 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things
    2020 342 citations Xiaokang Zhou, Wei Liang et al. IEEE Internet of Things Journal profile →
  2. CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support
    2020 319 citations Xiaokang Zhou, Wei Liang et al. profile →
  3. Variational LSTM Enhanced Anomaly Detection for Industrial Big Data
    2020 290 citations Xiaokang Zhou, Wei Liang et al. IEEE Transactions on Industrial Informatics profile →
  4. Siamese Neural Network Based Few-Shot Learning for Anomaly Detection in Industrial Cyber-Physical Systems
    2020 248 citations Xiaokang Zhou, Wei Liang et al. IEEE Transactions on Industrial Informatics profile →
  5. Deep-Learning-Enhanced Multitarget Detection for End–Edge–Cloud Surveillance in Smart IoT
    2021 245 citations Xiaokang Zhou, Xuesong Xu et al. IEEE Internet of Things Journal profile →
  6. Deep Correlation Mining Based on Hierarchical Hybrid Networks for Heterogeneous Big Data Recommendations
    2020 231 citations Xiaokang Zhou, Wei Liang et al. IEEE Transactions on Computational Social Systems profile →
  7. Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems
    2021 212 citations Xiaokang Zhou, Xuesong Xu et al. IEEE Transactions on Industrial Informatics profile →
  8. Two-Layer Federated Learning With Heterogeneous Model Aggregation for 6G Supported Internet of Vehicles
    2021 208 citations Xiaokang Zhou, Wei Liang et al. profile →
  9. Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System
    2021 206 citations Xiaokang Zhou, Wei Liang et al. IEEE Internet of Things Journal profile →
  10. Energy-Efficient Smart Routing Based on Link Correlation Mining for Wireless Edge Computing in IoT
    2021 170 citations Xiaokang Zhou, Jianhua Ma et al. IEEE Internet of Things Journal profile →
  11. Hierarchical Federated Learning With Social Context Clustering-Based Participant Selection for Internet of Medical Things Applications
    2023 143 citations Xiaokang Zhou, Kevin I‐Kai Wang et al. IEEE Transactions on Computational Social Systems profile →
  12. Digital Twin Enhanced Federated Reinforcement Learning With Lightweight Knowledge Distillation in Mobile Networks
    2023 119 citations Xiaokang Zhou, Jiashuai Shi et al. IEEE Journal on Selected Areas in Communications profile →
  13. Personalized Federated Learning With Model-Contrastive Learning for Multi-Modal User Modeling in Human-Centric Metaverse
    2024 64 citations Xiaokang Zhou, Wei Liang et al. IEEE Journal on Selected Areas in Communications profile →
  14. Federated distillation and blockchain empowered secure knowledge sharing for Internet of medical Things
    2024 44 citations Xiaokang Zhou, Zheng Yan et al. Information Sciences profile →

Peers

Xiaokang Zhou
Deepak Gupta India
Alireza Jolfaei Australia
Praveen Kumar Reddy Maddikunta India
Honghao Gao China
Anand Nayyar Vietnam
N. Z. Jhanjhi Malaysia
Gunasekaran Manogaran United States
Sahil Garg Canada
Xiangjie Kong China
Atif Alamri Saudi Arabia
Deepak Gupta India
Xiaokang Zhou
Citations per year, relative to Xiaokang Zhou Xiaokang Zhou (= 1×) peers Deepak Gupta

Countries citing papers authored by Xiaokang Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokang Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaokang Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaokang Zhou. A scholar is included among the top collaborators of Xiaokang 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 Xiaokang Zhou. Xiaokang 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.
Wang, Zhenning, et al.. (2025). DRAM: Digital Twin-Driven Double-Layer Reverse Auction Method for Multi-Platform Vehicular Crowdsensing. IEEE Transactions on Mobile Computing. 24(12). 13725–13742.
2.
Kang, Guosheng, et al.. (2025). Multi-Task Joint Training for Interactive Web API Recommendation via Exploring Mashup-API Interactions and Functional Description Documents. IEEE Transactions on Consumer Electronics. 71(4). 10256–10269.
3.
Zhou, Xiaokang, Wei Liang, Kevin I‐Kai Wang, et al.. (2025). Decentralized Federated Graph Learning With Lightweight Zero Trust Architecture for Next-Generation Networking Security. IEEE Journal on Selected Areas in Communications. 43(6). 1908–1922. 8 indexed citations
4.
Zhou, Xiaokang, et al.. (2024). Multitask Correlation Constrained Topological Learning Toward Smart Prognostic and Health Management in IoT. IEEE Internet of Things Journal. 11(24). 39487–39496. 1 indexed citations
5.
Wu, Xiaotong, et al.. (2024). Fuzzy Federated Learning for Privacy-Preserving Detection of Adolescent Idiopathic Scoliosis. IEEE Transactions on Fuzzy Systems. 32(10). 5493–5507. 1 indexed citations
6.
Chen, Ying, et al.. (2023). A distributed game theoretical approach for credibility-guaranteed multimedia data offloading in MEC. Information Sciences. 644. 119306–119306. 21 indexed citations
7.
Li, Weimin, et al.. (2023). Rumor source localization in social networks based on infection potential energy. Information Sciences. 634. 172–188. 23 indexed citations
8.
Zhou, Xiaokang, Qiang Liu, Wei Liang, et al.. (2023). Spatial–Temporal Federated Transfer Learning with multi-sensor data fusion for cooperative positioning. Information Fusion. 105. 102182–102182. 71 indexed citations
9.
Zhou, Xiaokang, Jiashuai Shi, Wei Liang, et al.. (2023). Digital Twin Enhanced Federated Reinforcement Learning With Lightweight Knowledge Distillation in Mobile Networks. IEEE Journal on Selected Areas in Communications. 41(10). 3191–3211. 119 indexed citations breakdown →
10.
Guo, Kehua, Zheng Wu, Weizheng Wang, et al.. (2023). GRTR: Gradient Rebalanced Traffic Sign Recognition for Autonomous Vehicles. IEEE Transactions on Automation Science and Engineering. 21(3). 2349–2361. 28 indexed citations
11.
Yan, Ke, Xinke Chen, Xiaokang Zhou, Zheng Yan, & Jianhua Ma. (2022). Physical Model Informed Fault Detection and Diagnosis of Air Handling Units Based on Transformer Generative Adversarial Network. IEEE Transactions on Industrial Informatics. 19(2). 2192–2199. 58 indexed citations
12.
Liu, Ziming, Yang Xu, Cheng Zhang, Haroon Elahi, & Xiaokang Zhou. (2022). A blockchain-based trustworthy collaborative power trading scheme for 5G-enabled social internet of vehicles. Digital Communications and Networks. 8(6). 976–983. 32 indexed citations
13.
Zhou, Xiaokang, et al.. (2022). Distribution Bias Aware Collaborative Generative Adversarial Network for Imbalanced Deep Learning in Industrial IoT. IEEE Transactions on Industrial Informatics. 19(1). 570–580. 124 indexed citations
14.
Yang, Yaoqi, Weizheng Wang, Zhimeng Yin, et al.. (2022). Mixed Game-Based AoI Optimization for Combating COVID-19 With AI Bots. IEEE Journal on Selected Areas in Communications. 40(11). 3122–3138. 45 indexed citations
15.
Guo, Kehua, et al.. (2022). LesionTalk: Core Data Extraction and Multi-class Lesion Detection in IoT-based Intelligent Healthcare. ACM Transactions on Sensor Networks. 19(3). 1–20. 3 indexed citations
16.
Zhou, Xiaokang, Wei Liang, Ke Yan, et al.. (2022). Edge-Enabled Two-Stage Scheduling Based on Deep Reinforcement Learning for Internet of Everything. IEEE Internet of Things Journal. 10(4). 3295–3304. 96 indexed citations
17.
Zhou, Xiaokang, Xuesong Xu, Wei Liang, et al.. (2021). Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems. IEEE Transactions on Industrial Informatics. 18(2). 1377–1386. 212 indexed citations breakdown →
18.
Zhou, Xiaokang, et al.. (2020). Variational LSTM Enhanced Anomaly Detection for Industrial Big Data. IEEE Transactions on Industrial Informatics. 17(5). 3469–3477. 290 indexed citations breakdown →
19.
Zhou, Xiaokang, Wei Liang, Shohei Shimizu, Jianhua Ma, & Qun Jin. (2020). Siamese Neural Network Based Few-Shot Learning for Anomaly Detection in Industrial Cyber-Physical Systems. IEEE Transactions on Industrial Informatics. 17(8). 5790–5798. 248 indexed citations breakdown →
20.
Zhou, Xiaokang, et al.. (2019). Social Recommendation With Large-Scale Group Decision-Making for Cyber-Enabled Online Service. IEEE Transactions on Computational Social Systems. 6(5). 1073–1082. 44 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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