Yan Zhang

Honors

• IEEE Fellow
• IET Fellow
• Elected Member, Academia Europaea
• Elected Member, Royal Norwegian Society of Sciences and Letters Academy
• Elected Member, Norwegian Academy of Technological Sciences 
• The World 2020 "Highly Cited Researcher" , (Web of Science top 1% most cited worldwide)
• The World 2019 "Highly Cited Researcher" , (Web of Science top 1% most cited worldwide)
• The World 2018 "Highly Cited Researcher", (Web of Science top 1% most cited worldwide)
• Among World's Top 1000 Scientists of Computer Science and Electronics in 2020 Guide2Research ranking, Dr. Zhang is ranked 1 in Norway and 586 worldwide. The ranking is based on H-index, Google Scholar, DBLP and citations values. More information in Guide2Research

• Chair, IEEE Communications Society Technical Committee on Green Communications & Computing, April 2021- March 2023

• Chair, IEEE Communications Society Technical Committee on Green Communications & Computing, April 2019 - March 2021

• IEEE ComSoc (Communications Society) Distinguished Lecturer, Jan. 2021-Dec. 2022

• IEEE VTS (Vehicular Technology Society), Distinguished Speaker, Jan. 2021-June 2022

• IEEE VTS (Vehicular Technology Society) , Distinguished Lecturer, July 2018-December 2020, July 2016-June 2018

• Member, IEEE VTS Fellowship and Scholarship Committee

• CCF Senior Member

• CCF 2019 Distinguished Speaker

• Elected member, CCF Technical Committee of Blockchain, 2019

Link to Google Scholar Page

• Citations: 22000+; H-index: 81
• My Google Scholar Page

Research Interest

• Energy Informatics
• 6G, Internet of Things
• Edge intelligence, Edge computing
• Blockchain
• Digital Twin

Editor in top-ranked IEEE Transactions/Magazine

• Editor, IEEE Transactions on Network Science and Engineering, 2020-now

• Associate Editor, IEEE Transactions on Industrial Informatics, 2019-now

• Editor, IEEE Transactions on Vehicular Technology, 2019-now

• Editor, IEEE Transactions on Green Communications and Networking, 2016-2020

• Area Editor, IEEE Transactions on Green Communications and Networking, 2020-now

• Editor, IEEE Network Magazine, 2017-now

• Editor, IEEE Communications Surveys & Tutorials, 2016-now

• Associate Technical Editor, IEEE Communications Magazine, 2016-2020

• Associate Editor, IEEE Vehicular Technology Magazine, 2017-now

• Editor, IEEE Internet of Things Journal, 2016-now

• Associate Editor, IEEE Systems Journal, 2019-2020

• Senior Editor, IEEE Systems Journal, 2020-now

• Editor, IEEE Blockchain Technical Briefs, 2018-now

Publications

• K. Zhang, J. Cao, S. Maharjan, and Y. Zhang, "Digital Twin Empowered Content Caching in Social-aware Vehicular Edge Networks", IEEE Transactions on Computational Social Systems, DOI: 10.1109/TCSS.2021.3068369, 2021 [PDF]

• W. Sun, P. Wang, N. Xu, G. Wang, and Y. Zhang, "Dynamic Digital Twin and Distributed Incentives for Resource Allocation in Aerial-assisted Internet of Vehicles", IEEE Internet of Things Journal, DOI: 10.1109/JIOT.2021.3058213, 2021 [PDF]

• W. Sun, N. Xu, L. Wang, H. Zhang and Y. Zhang, "Dynamic Digital Twin and Federated Learning with Incentives for Air-Ground Networks", IEEE Transactions on Network Science and Engineering, DOI: 10.1109/TNSE.2020.3048137, 2020 [PDF]
• W. Sun, S. Lei, L. Wang, Z. Liu, and Y. Zhang, "Adaptive Federated Learning and Digital Twin for Industrial Internet of Things", IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2020.3034674, 2020 [PDF]
• Y. Lu, X. Huang, K. Zhang, S. Maharjan, and Y. Zhang, "Low-latency Federated Learning and Blockchain for Edge Association in Digital Twin empowered 6G Networks", IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2020.3017668, 2020 [PDF]
• Y. Lu, X. Huang, K. Zhang, S. Maharjan, and Y. Zhang, "Communication-Efficient Federated Learning for Digital Twin Edge Networks in Industrial IoT", IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2020.3010798, 2020 [PDF]
• Y. Dai, K. Zhang, S. Maharjan, and Y. Zhang, "Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks", IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2020.3016320, 2020 [PDF]
• W. Sun, H. Zhang, R. Wang and Y. Zhang, "Reducing Offloading Latency for Digital Twin Edge Networks in 6G", IEEE Transactions on Vehicular Technology, vol.69, no.10, pp.12240-12251, Oct.2020 [PDF]
• Y. Lu, X. Huang, K. Zhang, S. Maharjan, and Y. Zhang, "Communication-efficient Federated Learning and Permissioned Blockchain for Digital Twin Edge Networks", IEEE Internal of Things Journal, DOI: 10.1109/JIOT.2020.3015772, 2020 [PDF]
• Y. Zuo, S. Jin, S. Zhang and Y. Zhang, "Blockchain Storage and Computation Offloading for Cooperative Mobile Edge Computing", IEEE Internet of Things Journal, accepted
• X. Xu, X. Wang, Z. Li, H. Yu. G. Sun, S. Maharjan and Y. Zhang, "Mitigating Conflicting Transactions in Hyperledger Fabric Permissioned Blockchain for Delay-sensitive IoT Applications", IEEE Internet of Things Journal, 2020
• J. Wu, J. Liu, W. Chen, H. Huang, Z. Zheng and Y. Zhang, "Detecting Mixing Services via Mining Bitcoin Transaction Network with Hybrid Motifs", IEEE Transactions on Systems, Man and Cybernetics: Systems, 2020
• L. Jiang, B. Chen, S. Xie, S. Maharjan and Y. Zhang, "Incentivizing Resource Cooperation for Blockchain Empowered Wireless Power Transfer in UAV Networks", IEEE Transactions on Vehicular Technology, 2020
• Y. Liu, S. Xie, Q. Yang, and Y. Zhang, "Joint Computation Offloading and Demand Response Management in Mobile Edge Network with Renewable Energy Sources", IEEE Transactions on Vehicular Technology, 2020
• W. Sun, L. Wang, P. Wang and Y. Zhang, "Collaborative Blockchain for Space-Air-Ground Integrated Network", IEEE Wireless Communications Magazine, 2020
• Y. Wei, S. Zhou, S. Leng, S. Maharjan and Y. Zhang, "Federated Learning empowered End-Edge-Cloud Cooperation for 5G HetNet Security", IEEE Network Magazine, 2020
• Y. Liu, S. Xie and Y. Zhang, "Cooperative Offloading and Resource Management for UAV-Enabled Mobile Edge Computing in Power IoT System", IEEE Transactions on Vehicular Technology, vol.69, no.10, pp.12229-12239, Oct.2020
• Y. Dai, K. Zhang, S. Maharjan, and Y. Zhang, "Edge Intelligence for Energy-efficient Computation Offloading and Resource Allocation in 5G Beyond", IEEE Transactions on Vehicular Technology, vol.69, no.10, pp.12175-12186, Oct.2020
• H. Chung, S. Maharjan, Y. Zhang, and F. Eliassen, "Distributed Deep Reinforcement Learning for Intelligent Load Scheduling in Residential Smart Grid", IEEE Transactions on Industrial Informatics, 2020
• H. Chung, S. Maharjan, Y. Zhang, and F. Eliassen, "Intelligent Charging Management of Electric Vehicles Considering Dynamic User Behavior and Renewable Energy: A Stochastic Game Approach", IEEE Transactions on Intelligent Transportation Systems, 2020
• H. Chung, S. Maharjan, Y. Zhang, F. Eliassen and K. Strunz, "Placement and Routing Optimization for Automated Inspection with UAVs: A Study in Offshore Wind Farm", IEEE Transactions on Industrial Informatics, 2020
• Y. Lu, X. Huang, K. Zhang, S. Maharjan and Y. Zhang, "Blockchain and Federated Learning for 5G Beyond", IEEE Network Magazine, 2020
• Y. Lu, X. Huang, K. Zhang, S. Maharjan and Y. Zhang, "Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles", IEEE Transactions on Vehicular Technology, vol.69, no.4, pp.4298-4311, April 2020
• H. Liu, P. Zhang, G. Pu, T. Yang, S. Maharjan and Y. Zhang, "Blockchain Empowered Cooperative Authentication with Data Traceability in Vehicular Edge Computing", IEEE Transactions on Vehicular Technology, vol.69, no.4, pp.4221-4232, April 2020
• Y. Dai, D. Xu, K. Zhang, S. Maharjan, and Y. Zhang, "Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks", IEEE Transactions on Vehicular Technology, vol.69, no.4, pp.4312-4324, April 2020
• Y. Wei, Y. Chen, M. Xiao, S Maharjan, and Y. Zhang, "Protecting Machine Learning Integrity in Distributed Big Data Networking", IEEE Network Magazine, vol.34, no.4, pp.84-90, July/August 2020
• X. Chen, C. Wu, T. Chen, H. Zhang, Z. Liu, Y. Zhang, and M. Bennis "Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective", IEEE Transactions on Wireless Communications, vol.19, no.4, vol. 2268 - 2281, April 2020.
• S. Mao, S. Leng, S. Maharjan, and Y. Zhang, "Energy Efficiency and Delay Tradeoff for Wireless Powered Mobile-Edge Computing Systems with Multi-Access Schemes", IEEE Transactions on Wireless Communications, vol.19, no.3, pp.1855 - 1867, March 2020.
• K. Zhang, J. Cao, H. Liu, S. Maharjan and Y. Zhang,"Deep Reinforcement Learning for Social-Aware Edge Computing and Caching in Urban Informatics", IEEE Transactions on Industrial Informatics, vol.16, no.8, pp.5467 - 5477, August 2020
• L. Jiang, S. Xie, S. Maharjan, and Y. Zhang, "Joint Transaction Relaying and Block Verification Optimization for Blockchain Empowered D2D Communication", IEEE Transactions on Vehicular Technology, vol.69, no.1, pp.828 - 841, Jan. 2020.
• Y. Lu, X. Huang, Y. Dai, S. Maharjan and Y. Zhang, "Blockchain and Federated Learning for Privacy-preserved Data Sharing in Industrial IoT", IEEE Transactions on Industrial Informatics, vol.16, no.6, pp.4177-4186, June 2020
• Y. Lu, X. Huang, Y. Dai, S. Maharjan and Y. Zhang, "Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics", IEEE Transactions on Industrial Informatics, vol.16, no.3, pp. 2134 - 2143, March 2020.
• Y. Lu, X. Huang, Y. Dai, S. Maharjan and Y. Zhang, "Federated Learning for Data Privacy Preservation in Vehicular Cyber-Physical Systems", IEEE Network Magazine, vol.34, no.3, pp.50 - 56, May/June 2020
• K. Anoh, S. Maharjan, A. Ikpehai, Y. Zhang and B. Adebisi, "Energy Peer-to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach", IEEE Transactions on Smart Grid, vol.11, no.2, pp. 1264 - 1275, March 2020