Yan Zhang

Image of Yan Zhang
Norwegian version of this page
Email yanzhang@ifi.uio.no
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

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Research groups