H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 44 Citations 13,666 144 World Ranking 3680 National Ranking 338
Electronics and Electrical Engineering H-index 43 Citations 12,270 130 World Ranking 1588 National Ranking 176

Research.com Recognitions

Awards & Achievements

2017 - Fellow of American Physical Society (APS) Citation For elegant and artful experiments that have moved fluidstructure interactions into the scientific mainstream, and which have inspired their study in physics, biology, engineering, geophysics, and applied mathematics

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Telecommunications
  • Algorithm

His main research concerns Mobile edge computing, Base station, Computer network, Cellular network and Scheduling. His study looks at the relationship between Mobile edge computing and topics such as Computation offloading, which overlap with Distributed computing, Algorithm design, Queueing theory and Stochastic optimization. His work on Wireless expands to the thematically related Distributed computing.

His Base station research focuses on Network architecture and how it connects with Mobile computing and Wireless network. His Cellular network research incorporates elements of Radio resource management, Electronic engineering, Telecommunications link and Fading. His research in Throughput intersects with topics in MIMO and Communication channel.

His most cited work include:

  • A Survey on Mobile Edge Computing: The Communication Perspective (1569 citations)
  • Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices (628 citations)
  • Query processing in spatial network databases (575 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Wireless network, Computer network, Distributed computing, Communication channel and Base station. The Wireless network study combines topics in areas such as Quality of service, Beamforming, Efficient energy use and Artificial intelligence. His research investigates the link between Computer network and topics such as Relay that cross with problems in Energy harvesting.

His biological study spans a wide range of topics, including Computation offloading, Server, Mobile edge computing and Cache. Jun Zhang usually deals with Mobile edge computing and limits it to topics linked to Scheduling and Real-time computing. Jun Zhang combines subjects such as Network architecture, Cellular network and Mobile broadband with his study of Base station.

He most often published in these fields:

  • Wireless network (25.19%)
  • Computer network (24.44%)
  • Distributed computing (21.85%)

What were the highlights of his more recent work (between 2019-2021)?

  • Enhanced Data Rates for GSM Evolution (9.63%)
  • Artificial intelligence (9.63%)
  • Distributed computing (21.85%)

In recent papers he was focusing on the following fields of study:

Enhanced Data Rates for GSM Evolution, Artificial intelligence, Distributed computing, Edge device and Server are his primary areas of study. His Enhanced Data Rates for GSM Evolution research is multidisciplinary, incorporating elements of Wireless, Convergence and Benchmark. Within one scientific family, Jun Zhang focuses on topics pertaining to Computer network under Wireless, and may sometimes address concerns connected to Digital signal processing and Information system.

His Artificial intelligence research includes elements of Wireless network, Machine learning and Speedup. His work in Distributed computing tackles topics such as Overhead which are related to areas like Feature. His studies in Server integrate themes in fields like Network topology, Load balancing, Computation offloading and Cache.

Between 2019 and 2021, his most popular works were:

  • Toward an Intelligent Edge: Wireless Communication Meets Machine Learning (140 citations)
  • Mobile Edge Intelligence and Computing for the Internet of Vehicles (49 citations)
  • Client-Edge-Cloud Hierarchical Federated Learning (44 citations)

In his most recent research, the most cited papers focused on:

  • Computer network
  • Artificial intelligence
  • Telecommunications

The scientist’s investigation covers issues in Artificial intelligence, Enhanced Data Rates for GSM Evolution, Server, Edge device and Wireless network. As a part of the same scientific family, Jun Zhang mostly works in the field of Artificial intelligence, focusing on Machine learning and, on occasion, Mobile edge computing and Resource allocation. His Enhanced Data Rates for GSM Evolution research is multidisciplinary, relying on both Wireless and Overhead.

His study in Server is interdisciplinary in nature, drawing from both Data modeling and Distributed computing. His work on Distributed computing is being expanded to include thematically relevant topics such as Base station. His research integrates issues of Transfer of learning, Electronic engineering, Beamforming and Speedup in his study of Wireless network.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

A Survey on Mobile Edge Computing: The Communication Perspective

Yuyi Mao;Changsheng You;Jun Zhang;Kaibin Huang.
IEEE Communications Surveys and Tutorials (2017)

1355 Citations

Query processing in spatial network databases

Dimitris Papadias;Jun Zhang;Nikos Mamoulis;Yufei Tao.
very large data bases (2003)

887 Citations

Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices

Yuyi Mao;Jun Zhang;Khaled B. Letaief.
IEEE Journal on Selected Areas in Communications (2016)

694 Citations

Fundamentals of LTE

Arunabha Ghosh;Jun Zhang;Jeffrey G. Andrews;Rias Muhamed.
(2010)

598 Citations

Networked MIMO with clustered linear precoding

Jun Zhang;Runhua Chen;J.G. Andrews;A. Ghosh.
IEEE Transactions on Wireless Communications (2009)

596 Citations

Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems

Xianghao Yu;Juei-Chin Shen;Jun Zhang;Khaled B. Letaief.
IEEE Journal of Selected Topics in Signal Processing (2016)

471 Citations

Delay-optimal computation task scheduling for mobile-edge computing systems

Juan Liu;Yuyi Mao;Jun Zhang;Khaled B. Letaief.
international symposium on information theory (2016)

410 Citations

Location-based spatial queries

Jun Zhang;Manli Zhu;Dimitris Papadias;Yufei Tao.
international conference on management of data (2003)

403 Citations

Group Sparse Beamforming for Green Cloud-RAN

Yuanming Shi;Jun Zhang;Khaled B. Letaief.
IEEE Transactions on Wireless Communications (2014)

382 Citations

The Roadmap to 6G: AI Empowered Wireless Networks

Khaled B. Letaief;Wei Chen;Yuanming Shi;Jun Zhang.
IEEE Communications Magazine (2019)

373 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Jun Zhang

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The University of Texas at Austin

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