D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 31 Citations 5,464 184 World Ranking 5899 National Ranking 700

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Operating system
  • The Internet

Yong Ren spends much of his time researching Computer network, Computer security, Wireless, Distributed computing and Cognitive radio. His research in Computer network intersects with topics in Incentive compatibility and Communication channel. His Computer security research is multidisciplinary, incorporating perspectives in Handover and Big data.

Yong Ren has researched Distributed computing in several fields, including Node, Wireless ad hoc network, Vehicular ad hoc network and Cloud computing. His biological study deals with issues like Active learning, which deal with fields such as Wireless network. His Wireless network research includes elements of Instance-based learning and Computational learning theory.

His most cited work include:

  • Machine Learning Paradigms for Next-Generation Wireless Networks (573 citations)
  • Information Security in Big Data: Privacy and Data Mining (304 citations)
  • Taking Drones to the Next Level: Cooperative Distributed Unmanned-Aerial-Vehicular Networks for Small and Mini Drones (163 citations)

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

His scientific interests lie mostly in Computer network, Distributed computing, Wireless network, Wireless and Base station. His Computer network study often links to related topics such as Cognitive radio. His Distributed computing study also includes

  • Resource allocation which is related to area like Network packet,
  • Quality of service, which have a strong connection to Communication channel.

He combines subjects such as Machine learning and Artificial intelligence with his study of Wireless network. He works mostly in the field of Network topology, limiting it down to topics relating to Complex network and, in certain cases, The Internet, as a part of the same area of interest. His research in Cellular network tackles topics such as Mobile computing which are related to areas like Mobility model.

He most often published in these fields:

  • Computer network (37.67%)
  • Distributed computing (21.40%)
  • Wireless network (12.56%)

What were the highlights of his more recent work (between 2017-2021)?

  • Distributed computing (21.40%)
  • Base station (9.77%)
  • Computer network (37.67%)

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

His primary areas of study are Distributed computing, Base station, Computer network, Resource management and Real-time computing. His Distributed computing research includes themes of Resource allocation, Quality of service, Computation offloading, Throughput and Cloud computing. His Base station research integrates issues from Cellular network, Double auction, Telecommunications network, Heterogeneous network and Multicast.

His work carried out in the field of Heterogeneous network brings together such families of science as Machine learning, Artificial intelligence and Macrocell. His Computer network study integrates concerns from other disciplines, such as Wireless and Allocative efficiency. Yong Ren has researched Real-time computing in several fields, including Node, Software deployment, Network architecture and Vehicular ad hoc network.

Between 2017 and 2021, his most popular works were:

  • Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks (103 citations)
  • Joint UAV Hovering Altitude and Power Control for Space-Air-Ground IoT Networks (66 citations)
  • Vehicular Sensing Networks in a Smart City: Principles, Technologies and Applications (63 citations)

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

  • Computer network
  • The Internet
  • Operating system

Yong Ren mostly deals with Distributed computing, Resource management, Cellular network, Base station and Cloud computing. The Distributed computing study combines topics in areas such as Control system, Quality of service and Computation offloading, Edge computing. His Cellular network research is classified as research in Computer network.

His work carried out in the field of Computer network brings together such families of science as Wireless, Allocative efficiency, Double auction and Spectrum sharing. His Cloud computing research integrates issues from Stability, The Internet and Big data. While the research belongs to areas of Computer security, Yong Ren spends his time largely on the problem of Social network, intersecting his research to questions surrounding Service, Machine learning and Artificial intelligence.

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.

Best Publications

Machine Learning Paradigms for Next-Generation Wireless Networks

Chunxiao Jiang;Haijun Zhang;Yong Ren;Zhu Han.
IEEE Wireless Communications (2017)

543 Citations

Information Security in Big Data: Privacy and Data Mining

Lei Xu;Chunxiao Jiang;Jian Wang;Jian Yuan.
IEEE Access (2014)

513 Citations

Taking Drones to the Next Level: Cooperative Distributed Unmanned-Aerial-Vehicular Networks for Small and Mini Drones

Jingjing Wang;Chunxiao Jiang;Zhu Han;Yong Ren.
IEEE Vehicular Technology Magazine (2017)

229 Citations

Renewal-theoretical dynamic spectrum access in cognitive radio network with unknown primary behavior

Chunxiao Jiang;Yan Chen;K.J. Ray Liu;Yong Ren.
IEEE Journal on Selected Areas in Communications (2013)

188 Citations

A linear feedback synchronization theorem for a class of chaotic systems

Feng Liu;Yong Ren;Xiuming Shan;Zulian Qiu.
Chaos Solitons & Fractals (2002)

185 Citations

Does BTLE measure up against WiFi? A comparison of indoor location performance

Xiaojie Zhao;Zhuoling Xiao;Andrew Markham;Niki Trigoni.
european wireless conference (2014)

164 Citations

Game theory models for IEEE 802.11 DCF in wireless ad hoc networks

Yongkang Xiao;Xiuming Shan;Yong Ren.
IEEE Communications Magazine (2005)

160 Citations

Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks

Jingjing Wang;Chunxiao Jiang;Haijun Zhang;Yong Ren.
IEEE Communications Surveys and Tutorials (2020)

121 Citations

Energy-efficient non-cooperative cognitive radio networks: micro, meso, and macro views

Chunxiao Jiang;Haijun Zhang;Yong Ren;Hsiao-Hwa Chen.
IEEE Communications Magazine (2014)

112 Citations

Energy-Efficient Computation Offloading for Secure UAV-Edge-Computing Systems

Tong Bai;Jingjing Wang;Yong Ren;Lajos Hanzo.
IEEE Transactions on Vehicular Technology (2019)

90 Citations

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