Yan Zhang

Image of Yan Zhang
Norwegian version of this page
Mobile phone 48881909
Room 4158
Username
Visiting address Gaustadalléen 23B None 0373 OSLO
Postal address Postboks 1080 0316 OSLO

Honors

  • IEEE Fellow
  • Elected Member, Academia Europaea
  • Elected Member, Norwegian Academy of Technological Sciences
  • IET Fellow
  • 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 943 worldwide. The ranking is based on H-index, Google Scholar, DBLP and citations values gathered by May 16th 2020. More information in Guide2Research
  • Chair, IEEE ComSoc TCGCC (Technical Committee on Green Communications & Computing)
  • IEEE VTS (Vehicular Technology Society) Distinguished Lecturer, July 2018-June 2020, July 2016-June 2018
  • Member, IEEE VTS Fellowship and Scholarship Committee
  • CCF (China Computer Federation) 2019 Distinguished Speaker
  • Elected member, CCF Technical Committee on Blockchain
  • 21 ESI "Highly Cited Papers" (The top 1% of its academic field based on a highly cited threshold for the field and publication year based on the citation data from Web of Science)
  • 8 ESI "Hot Paper" (The top 0.1% of its academic field based on a highly cited threshold for the field and publication year based on the citation data from Web of Science)
  • One paper published in Elsevier Computer Communications has been ranked in "Most Cited Computer Communications Articles"
  • Two papers in the IEEE Communications Society Best Readings List in "Communications and Information Systems Security"
  • Most Cited Article of 2017 in IEEE Access
  • Google Scholar citations: 18000+; H-index: 71

Link to Personal Webpage

Link to Google Scholar Page

Research Interest

  • Energy Informatics, Energy Internet
  • Edge intelligence, Edge computing
  • Blockchain

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-now

  • Editor, IEEE Network Magazine, 2017-now

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

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

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

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

  • Associate Editor, IEEE Systems Journal, 2019-now

  • Editor, IEEE Blockchain Technical Briefs, 2018-now

Conferences

  • Symposium Chair, SAC Big Data, IEEE ICC 2021

  • TPC Chair, IEEE ICCT 2020

  • General Chair, BlockSys 2020, BlockSys 2019

  • Symposium Chair, "Green Communications Systems and Networks" Symposium, IEEE GLOBECOM 2017

  • Symposium Chair, "Green Communications and Networks" Symposium, IEEE VTC2017-Spring

  • Track Chair, "Green and Sustainable Communications and Network Computing" Track, IEEE WiMob 2017

  • Demonstration Co-Chair, IEEE WoWMoM 2017

  • Track Co-Chair, IEEE CloudCom 2016

  • Track Co-chair, "Mobile and Wireless Networks" track, IEEE PIMRC 2016

  • Demo Co-chair, IEEE CCNC 2016

  • Symposium Co-Chair, Cyber Security Symposium,  IEEE SmartGridComm 2015

Tags: Energy Informatics; Edge intelligence, Blockchain, 6G/5G Beyond

Publications

  • 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, accepted
  • 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, accepted
  • 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, accepted
  • 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, accepted
  • S. Wang, D. Ye, X. Huang, R. Yu, Y. Wang and Y. Zhang, "Consortium Blockchain for Secure Resource Sharing in Vehicular Edge Computing: A Contract-based Approach", IEEE Transactions on Network Science and Engineering, accepted
  • Y. Lu, X. Huang, K. Zhang, S. Maharjan and Y. Zhang, "Blockchain and Federated Learning for 5G Beyond", IEEE Network Magazine, accepted
  • X. Huang, R. Yu, S. Xie and Y. Zhang, "Task-Container Matching Game for Computation Offloading in Vehicular Edge Computing and Networks", IEEE Transactions on Intelligent Transportation Systems, accepted
  • W. Zhong, K. Xie, Y. Liu, C. Yang, S. Xie, and Y. Zhang, "Distributed Demand Response for Multi-Energy Residential Communities with Incomplete Information", IEEE Transactions on Industrial Informatics, accepted
  • 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, accepted
  • 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.
  • W. Zhong, K. Xie, Y. Liu, C. Yang, S. Xie, and Y. Zhang, "Online Control and Near-Optimal Algorithm for Distributed Energy Storage Sharing in Smart Grid", IEEE Transactions on Smart Grid, accepted
  • Z. Zhou, X. Chen, Y. Zhang, and S. Mumtaz, "Blockchain-Empowered Secure Spectrum Sharing for 5G Heterogeneous Networks", IEEE Network Magazine, vol.34, no.1, pp.24 - 31, Jan/Feb. 2020
  • Q. Li, H. Yao, T. Mai, C. Jiang and Y. Zhang, "Reinforcement and Belief Learning based Double Auction Mechanism for Edge Computing Resource Allocation", IEEE Internet of Things, accepted
  • Y. Xu, J. Ren, Y. Zhang, C. Zhang, B. Shen and Y. Zhang, "Blockchain Empowered Arbitrable Data Auditing Scheme for Network Storage as a Service", IEEE Transactions on Service Computing, vol.13, no.2, pp. 289-300, March/April 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, accepted
  • 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, accepted
  • 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
  • G. Qiao, S. Leng, S. Maharjan, Y. Zhang and N. Ansari, "Deep Reinforcement Learning for Cooperative Content Caching in Vehicular Edge Computing and Networks", IEEE Internet of Things, vol.7, no.1, pp.247-257, Jan.2020.
  • W. Zhong, K. Xie, Y. Liu, C. Yang, S. Xie, and Y. Zhang, "ADMM Empowered Distributed Computational Intelligence for Internet of Energy", IEEE Computational Intelligence Magazine, vol.14, no.4, pp.42-51, Nov.2019
  • Y. Liu, H. Yu, S. Xie and Y. Zhang, "Deep Reinforcement Learning for Offloading and Resource Allocation in Vehicle Edge Computing and Networks", IEEE Transactions on Vehicular Technology, vol.68, no.11, pp.11158 - 11168, Nov.2019.
  • L. Liu, C. Chen, Q. Pei, and Y. Zhang, "Vechicular Edge Computing and Networking: A Survey", ACM/Springer Mobile Networks and Applications, accepted
  • H. Dai, Z. Zhen, and Y. Zhang, "Blockchain for Internet of Things: A Survey", IEEE Internet of Things, vol.6, no.5, pp.8076 - 8094, Oct.2019
  • W. Chen, Z. Zhang, Z. Hong, C. Chen, J. Wu. S. Maharjan, Z. Zheng and Y. Zhang, "Cooperative and Distributed Computation Offloading for Blockchain-Empowered Industrial Internet of Things", IEEE Internet of Things, vol.6, no.5, pp.8433 - 8446, Oct. 2019.
  • K. Zhang, Y. Zhu, S. Maharjan, and Y. Zhang, "Edge Intelligence and Blockchain Empowered 5G Beyond for Industrial Internet of Things", IEEE Network Magazine, vol.33, no.5, pp.12-19, Sep/Oct.2019.
  • B. Li, Z. Fei, Y. Zhang, and M. Guizani, "Secure UAV Communication Networks over 5G", IEEE Wireless Communications Magazine, vol.26, no.5, pp.114-120, Oct.2019.
  • L. Jiang, S. Xie, S. Maharjan, and Y. Zhang, “Blockchain Empowered Wireless Power Transfer for Green and Secure Internet of Things", IEEE Network Magazine, vol.33, no.6, pp.164-171, Nov/Dec. 2019.
  • Z. Zheng, Y. Yang, J. Liu, H. Dai and Y. Zhang, “Deep and Embedded Learning Approach for Traffic Flow Prediction in Urban Informatics", IEEE Transactions on Intelligent Transportation Systems, vol.20, no.10, pp. 3927-3939, Oct.2019.
  • K. Gai, Y. Wu, L. Zhu, L. Xu, and Y. Zhang, “Permissioned Blockchain and Edge Computing Empowered Privacy-preserving Smart Grid Networks", IEEE Internet of Things Journal, vol.6, no.5, pp.7992-8004, Oct.2019.
  • K. Zhang, Y. Zhu, S. Leng, Y. He, S. Maharjan and Y. Zhang, “Deep Learning Empowered Task Offloading for Mobile Edge Computing in Urban Informatics", IEEE Internet of Things Journal, vol.6, no.5, pp.7635-7647, Oct.2019.
  • C. Wu, X. Chen, T. Yoshinaga, Y. Ji and Y. Zhang, "Integrating Licensed and Unlicensed Spectrum in Internet-of-Vehicles with Mobile Edge Computing", IEEE Network Magazine, vol.33, no.4, pp.48 - 53, July-August 2019
  • Y. Liu, C. Yang, L. Jiang, S. Xie and Y. Zhang, "Intelligent Edge Computing for IoT-Based Energy Management in Smart Cities", IEEE Network Magazine, vol.33, no.2, pp.111-117, March/April 2019 ("Hot Paper" and "Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)
  • Y. Dai, D. Xu, S. Maharjan, Z. Chen, Q. He and Y. Zhang, "Blockchain and Deep Reinforcement Learning Empowered Intelligent 5G Beyond", IEEE Network Magazine, vol.33, no.3, pp.10-17, May/June 2019.
  • Z. Zhou, P. Liu, J. Feng, Y. Zhang, S. Mumtaz, and J. Rodriguez, "Computation Resource Allocation and Task Assignment Optimization in Vehicular Fog Computing: A Contract-Matching Approach", IEEE Transactions on Vehicular Technology, vol.68, no.4, pp.3113-3125, April 2019.
  • Y. Dai, D. Xu, S. Maharjan, G. Qiao, and Y. Zhang, “Artificial Intelligence Empowered Edge Computing and Caching for Internet of Vehicles", IEEE Wireless Communications Magazine, vol.26, no.3, pp.12-18, June 2019.
  • B. Li, Z. Fei, and Y. Zhang, “UAV Communications for 5G and Beyond: Recent Advances and Future Trends", IEEE Internet of Things Journal, vol.6, no.2, pp. 2241-2263, April 2019.
  • L. Xu, T. Bao, L. Zhu and Y. Zhang,"Trust-based Privacy-Preserving Photo Sharing in Online Social Networks", IEEE Transactions on Multimedia, vol.21, no.3, pp.591-602, March 2019.
  • E. Kure, P. Engelstad, S. Maharjan, S. Gjessing and Y. Zhang, “Distributed Uplink Offloading for IoT in 5G Heterogeneous Networks under Private Information Constraints", IEEE Internet of Things Journal, vol.6, no.4, pp.6151 - 6164, August 2019
  • X. Wang, Z. Ning, M. Zhou, X. Hu, L. Wang, Y. Zhang, F. Richard Yu, and B. Hu, “Privacy-Preserving Content Dissemination for Vehicular Social Networks: Challenges and Solutions,” IEEE Communications Surveys & Tutorials, vol.21, no.2, pp. 1314-1345, 2019.
  • Z. Zhou, B. Wang, Y. Guo and Y. Zhang, "Blockchain and Computational Intelligence inspired Incentive-Compatible Demand Response in Internet of Electric Vehicles", IEEE Transactions on Emerging Topics in Computational Intelligence, vol.3, no.3, pp.205-216, June 2019
  • Y. Dai, D. Xu, S. Maharjan, and Y. Zhang, "Joint Computation Offloading and User Association in Multi-task Mobile Edge Computing", IEEE Transactions on Vehicular Technology, vol.67, no.12, pp.12313-12325, Dec.2018.
  • Y. Dai, D. Xu, S. Maharjan, and Y. Zhang, "Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks", IEEE Internet of Things, vol.6, no.3, pp.4377-4387, June 2019. (ESI "Highly Cited Paper")
  • J. Kang, R. Yu, X. Huang, M. Wu, S. Maharjan, S. Xie and Y. Zhang, "Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks", IEEE Internet of Things, vol.6, no.3, pp.4660-4670, June 2019. ("Hot Paper" and "Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)
  • K. Zhang, S. Leng, X. Peng, P. Li, S. Maharjan, and Y. Zhang, "Artificial Intelligence Inspired Transmission Scheduling in Cognitive Vehicular Communications and Networks", IEEE Internet of Things, vol.6, no.2, pp.1987-1997, April 2019
  • C. Wu, T. Yoshinaga,Y. Ji, and Y. Zhang, "Computational Intelligence Inspired Data Delivery for Vehicle-to-Roadside Communications", IEEE Transactions on Vehicular Technology, vol.67, no.12, pp. 12038-12048, Dec. 2018.

  • G. Qiao, S. Leng and Y. Zhang, "Online Learning and Optimization for Computation Offloading in D2D Edge Computing and Networks", ACM/Springer Mobile Networks and Applications (MONET), https://doi.org/10.1007/s11036-018-1176-y

  • H. Chung, W. Li, C. Yuen, W. Chung, Y. Zhang and C. Wen, "Local Cyber-Physical Attack for Masking Line Outage and Topology
    Attack in Smart Grid", IEEE Transactions on Smart Grid, vol.10, no.4, pp. 4577-4588, July 2019.

  • K. Zhang, Y. Mao, S. Leng, Y. He, S. Maharjan, S. Gjessing, Y. Zhang, and D. Tsang, "Optimal Charging Schemes for Electric Vehicles in Smart Grid: A Contract Theoretic Approach", IEEE Transactions on Intelligent Transportation Systems, vol.19,no.9, pp.3046-3058, Sept.2018

  • Z. Zhou, H. Yu, C. Xu, Y. Zhang, S. Mumtaz and J. Rodriguez, "Dependable Content Distribution in D2D-Based Cooperative Vehicular Networks: A Big Data-Integrated Coalition Game Approach", IEEE Transactions on Intelligent Transportation Systems, vol.19, no.3, pp.953-964, Jan. 2018. ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • Z. Li, J. Kang, R. Yu, D. Ye, Q. Deng and Y. Zhang, "Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things", IEEE Transactions on Industrial Informatics, vol.14, no.8, pp. 3690-3700, Aug.2018. ("Hot Paper" and "Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • J. Kang, R. Yu, X. Huang and Y. Zhang, "Privacy-Preserved Pseudonym Scheme for Fog Computing Supported Internet of Vehicles", IEEE Transactions on Intelligent Transportation Systems, vol.19, no.8, pp. 2627-2637, Aug. 2018 ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • H. Liu, Y. Zhang and T. Yang, "Blockchain Enabled Security in Electric Vehicles Cloud and Edge Computing", IEEE Network Magazine, vol.32, no.3, pp.78-83, May/June 2018. (ESI "Highly Cited Paper") 

  • X. Lyu, H. Tian, L. Jiang, A. Vinel, S. Maharjan, S. Gjessing, and Y. Zhang, "Selective Offloading in Mobile Edge Computing for Green Internet of Things", IEEE Network Magazine, vol.32, no.1, pp.54-60, Jan/Feb. 2018. ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • N. Abbas, Y. Zhang, A. Taherkordi, and T. Skeie, "Mobile Edge Computing: A Survey", IEEE Internet of Things Journal, vol.5, no.1, pp.450-465, Feb. 2018. ("Hot Paper" according to Essential Science Indicators (ESI) from Web of Science) ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • Z. Zhou, C. Gao, C. Xu, Y. Zhang, S. Mumtaz, and J. Rodriquez, "Social Big Data based Content Dissemination in Internet of Vehicles ", IEEE Transactions on Industrial Informatics, vol.14, no.2, pp.768-777, Feb. 2018. ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • Z. Zhou, J. Gong, Y. He and Y. Zhang, "Software Defined Machine-to-Machine Communication for Smart Energy Management", IEEE Communications Magazine, vol.55, no.10, pp.52-60, Oct. 2017. ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • J. Kang, R. Yu, X. Huang, S. Maharjan, Y. Zhang, and E. Hossain, "Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains", IEEE Transactions on Industrial Informatics, vol.13, no.6, pp. 3154 - 3164, Dec. 2017. ("Hot Paper" and "Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science) 

  • C. Zhu, H. Zhou, V. Leung, K. Wang, Y. Zhang, and L. Yang, "Toward Big Data in Green City", IEEE Communications Magazine, vol.55, no.11, pp.14-18, Nov.2017 ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • S. Wang, X. Zhang, Y. Zhang, L. Wang, J. Yang, and W. Wang, "A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications", IEEE Access, vol.5, pp.6757-6779, 2017. (DOI: 10.1109/ACCESS.2017.2685434) ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science) (Most Cited Article of 2017 in IEEE Access)

  • K. Zhang, Y. Mao, S. Leng, Y. He, and Y. Zhang, "Mobile Edge Computing for Vehicular Networks: A Promising Network Paradigm with Predictive Offloading", IEEE Vehicular Technology Magazine, vol. 12, no.2, pp.36-44, June 2017 ("Hot Paper" and "Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • C. Zhu, V. Leung, K. Wang, L. Yang, and Y. Zhang,"Multi-Method Data Delivery for Green Sensor-Cloud", IEEE Communications Magazine, vol.55, no.5, pp.176-182, May 2017 ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • K. Wang, Y. Wang, X. Hu, Y. Sun, D. Deng, A. Vinel, and Y. Zhang, "Wireless Big Data Computing in Smart Grid", IEEE Wireless Communications, vol.24, no.2, pp.58-64, April 2017. (Hot Paper & ESI "Highly Cited Paper")

  • K. Zhang, Y. Mao, S. Leng, Q. Zhao, L. Li, X. Peng, L. Pan, S. Maharjan, and Y. Zhang, "Energy-efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks", IEEE Access, (DOI: 10.1109/ACCESS.2016.2597169 ), vol.4, pp. 5896-5907, Aug. 2016. ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • Y. Liu, R. Yu, M. Pan, Y. Zhang, and S. Xie, "SD-MAC: Spectrum Database-Driven MAC Protocol for Cognitive Machine-to-Machine Networks ", IEEE Transactions on Vehicular Technology, vol.66, no.2, pp.1456-1467, April 2016 ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • H. Jiang, K. Wang, Y. Wang, M. Gao, and Y. Zhang, "Energy Big Data: A Survey", IEEE Access, vol.4, pp.3844-3861, August 2016 (DOI:  10.1109/ACCESS.2016.2580581) ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • R. Yu, J. Ding, S. Maharjan, S. Gjessing, Y. Zhang, and D. Tsang, "Decentralized and Optimal Resource Cooperation in Geo-distributed Mobile Cloud Computing", IEEE Transactions on Emerging Topics in Computing, vol.6, no.1, pp.72-84, Jan/March 2018. ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science) 

  • S. Maharjan, Q. Zhu, Y. Zhang, S. Gjessing and T. Basar, "Demand Response Management in the Smart Grid in a Large Population Regime", IEEE Transaction on Smart Grid, vol.7, no.1, pp.189-199, Jan. 2016 ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • Y. Liu, Y. Zhang, R. Yu, and S. Xie, "Integrated Energy and Spectrum Harvesting for 5G Wireless Communications", IEEE Network Magazine, vol.29, no.3, pp.75-81, May/June 2015 (This paper was selected as one of the four IEEE Communications Society Tech Focus-5G feature articles.) 

  • B. Chai, J. Chen, Z. Yang and Y. Zhang, "Demand Response Management with Multiple Utility Companies: A Two-Level Game Approach", IEEE Transactions on Smart Grid, vol.5, no.2, pp.722-731, March 2014. ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • G. Nan, Z. Mao, M. Li, Y. Zhang, S. Gjessing, H. Wang, and Mohsen Guizani, "Distributed Resource Allocation in Cloud-based Wireless Multimedia Social Networks", IEEE Network Magazine, July/August 2014 ( Featured Article of the IEEE Computer Society STC (Special Technical Community) on Social Networks in March 2016.)

  • R. Yu, Y. Zhang, S. Gjessing, W. Xia and K. Yang, "Toward Cloud-based Vehicular Networks with Efficient Resource Management", IEEE Network Magazine, special issue on "Cloud-Assisted Mobile Computing and Pervasive Services", vol. 27, no.5, 2013  ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • S. Maharjan, Q. Zhu, Y. Zhang, S. Gjessing, and T. Basar, "Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach", IEEE Transactions on Smart Grid, vol.4, no.1, pp.120-132, 2013. ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • R. Deng, J. Chen, X. Cao, Y. Zhang, S. Maharjan, and S. Gjessing, "Sensing-Performance Tradeoff in Cognitive Radio enabled Smart Grid", IEEE Transactions on Smart Grid, vol.4, no.1, pp302-310, 2013. ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • D. He, C. Chen, S. Chan, Y. Zhang, J. Bu and M. Guizani, "Secure Service Provision in Smart Grid Communications", IEEE Communications Magazine, special issue on "Cyber Security for Smart Grid Communications", vol. 50, no.8, pp.53-61, Aug.2012. (The paper has been featured in the IEEE Communications Society Best Readings List in "Communications and Information Systems Security")

  • D. He. C. Chen, S. Chan, J. Bu and Y. Zhang, "Security and Efficiency in Roaming Services for Wireless Networks: Challenges, Approaches and Prospects", IEEE Communications Magazine, vol.51, no.2, pp.142-150, Feb. 2013.  (The paper has been featured in the IEEE Communications Society Best Readings List in "Communications and Information Systems Security")

  • R. Yu. Y. Zhang, S. Gjessing, Y. Chau, S. Xie, and M. Guizani, "Cognitive Radio based Hierarchical Communications Infrastructure for Smart Grid", IEEE Network Magazine, special issue on "Communication Infrastructures for Smart Grid", vol.25, no.5, pp.6-14, Sept./Oct. 2011. (WUN CogCom Best Paper Award)

  • Y. Zhang, R. Yu, M. Nekovee, Y. Liu, S. Xie, and S. Gjessing, "Cognitive Machine-to-Machine Communications: Visions and Potentials for the Smart Grid", IEEE Network Magazine, special issue on "Machine and Robotic Networking", vol.26, no.3, pp.6-13, May/June 2012. ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science)

  • Y. Zhang, R. Yu, W. Yao, S. Xie, Y. Xiao and M. Guizani, "Home M2M Networks: Architectures, Standards, and QoS Improvement", IEEE Communications Magazine, special issue on "Recent Progress in Machine-to-Machine Communications", vol.49, no.4, pp.44-52, April 2011 ("Highly Cited Paper" according to Essential Science Indicators (ESI) from Web of Science) 

Published Dec. 1, 2011 8:28 AM - Last modified Sep. 2, 2020 1:22 AM