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
Computer Science D-index 49 Citations 8,582 271 World Ranking 3047 National Ranking 30
Electronics and Electrical Engineering D-index 36 Citations 5,217 141 World Ranking 2252 National Ranking 86

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • The Internet
  • Operating system

Mianxiong Dong spends much of his time researching Computer network, Wireless sensor network, Key distribution in wireless sensor networks, Efficient energy use and Real-time computing. His Computer network study incorporates themes from Cloud computing, Distributed computing and Vehicular ad hoc network. His research in Cloud computing intersects with topics in Services computing, Enhanced Data Rates for GSM Evolution, Mobile telephony, Radio access network and Server.

His research in Wireless sensor network focuses on subjects like Energy consumption, which are connected to Dynamic Source Routing and Geographic routing. In his work, Cellular network, Underlay and Quality of service is strongly intertwined with Resource allocation, which is a subfield of Efficient energy use. Mianxiong Dong interconnects Smart meter, Tracking, Protocol and Reliability in the investigation of issues within Real-time computing.

His most cited work include:

  • Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing (595 citations)
  • ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks (176 citations)
  • Energy-Efficient Resource Allocation for D2D Communications Underlaying Cloud-RAN-Based LTE-A Networks (151 citations)

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

His main research concerns Computer network, Distributed computing, Cloud computing, Wireless sensor network and Computer security. In his study, Efficient energy use is strongly linked to Energy consumption, which falls under the umbrella field of Computer network. His work in Distributed computing addresses issues such as Resource allocation, which are connected to fields such as Cellular network and Mathematical optimization.

The study incorporates disciplines such as Virtual machine, Scalability, Enhanced Data Rates for GSM Evolution and Server in addition to Cloud computing. His Wireless sensor network research incorporates elements of Key distribution in wireless sensor networks, Routing protocol, Network packet and Real-time computing. He has included themes like Deep learning and Edge device in his Edge computing study.

He most often published in these fields:

  • Computer network (36.96%)
  • Distributed computing (25.78%)
  • Cloud computing (17.70%)

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

  • Distributed computing (25.78%)
  • Edge computing (9.32%)
  • Cloud computing (17.70%)

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

His primary areas of study are Distributed computing, Edge computing, Cloud computing, Computer network and Computer security. His biological study spans a wide range of topics, including Resource allocation, Energy consumption, Node, Software and Server. His Edge computing study integrates concerns from other disciplines, such as Data modeling, Network architecture, Edge device, Base station and Convolutional neural network.

His studies in Cloud computing integrate themes in fields like Access control, Bandwidth, Encryption and Upload. Mianxiong Dong performs integrative study on Computer network and Data collection. His Computer security research focuses on subjects like Mobile device, which are linked to Redundancy, Data publishing and Cryptography.

Between 2019 and 2021, his most popular works were:

  • Secure and Efficient Vehicle-to-Grid Energy Trading in Cyber Physical Systems: Integration of Blockchain and Edge Computing (61 citations)
  • Adaptive data and verified message disjoint security routing for gathering big data in energy harvesting networks (51 citations)
  • Multimedia Processing Pricing Strategy in GPU-Accelerated Cloud Computing (32 citations)

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

  • Computer network
  • The Internet
  • Operating system

His primary areas of investigation include Distributed computing, Cloud computing, Resource allocation, Server and Edge computing. His studies deal with areas such as Packet analyzer, Blockchain, Asynchronous communication, Node and Software as well as Distributed computing. His work deals with themes such as Multimedia, Robotic systems and Systems engineering, which intersect with Cloud computing.

The various areas that Mianxiong Dong examines in his Resource allocation study include Convergence, Load balancing and Operations research. His research investigates the connection with Server and areas like Information privacy which intersect with concerns in Data security, Computation, Access control, Upload and Encryption. Edge computing connects with themes related to Data modeling in his study.

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

Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing

He Li;Kaoru Ota;Mianxiong Dong.
IEEE Network (2018)

753 Citations

ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks

Yuxin Liu;Mianxiong Dong;Kaoru Ota;Anfeng Liu.
IEEE Transactions on Information Forensics and Security (2016)

267 Citations

Energy-Efficient Resource Allocation for D2D Communications Underlaying Cloud-RAN-Based LTE-A Networks

Zhenyu Zhou;Mianxiong Dong;Kaoru Ota;Guojun Wang.
IEEE Internet of Things Journal (2016)

233 Citations

Energy-Efficient Matching for Resource Allocation in D2D Enabled Cellular Networks

Zhenyu Zhou;Kaoru Ota;Mianxiong Dong;Chen Xu.
IEEE Transactions on Vehicular Technology (2017)

190 Citations

Energy Efficiency and Spectral Efficiency Tradeoff in Device-to-Device (D2D) Communications

Zhenyu Zhou;Mianxiong Dong;Kaoru Ota;Jun Wu.
IEEE Wireless Communications Letters (2014)

189 Citations

A Probabilistic Misbehavior Detection Scheme toward Efficient Trust Establishment in Delay-Tolerant Networks

Haojin Zhu;Suguo Du;Zhaoyu Gao;Mianxiong Dong.
IEEE Transactions on Parallel and Distributed Systems (2014)

183 Citations

Deep Learning for Smart Industry: Efficient Manufacture Inspection System With Fog Computing

Liangzhi Li;Kaoru Ota;Mianxiong Dong.
IEEE Transactions on Industrial Informatics (2018)

179 Citations

RMER: Reliable and Energy-Efficient Data Collection for Large-Scale Wireless Sensor Networks

Mianxiong Dong;Kaoru Ota;Anfeng Liu.
IEEE Internet of Things Journal (2016)

177 Citations

Performance Guaranteed Computation Offloading for Mobile-Edge Cloud Computing

Xiaoyi Tao;Kaoru Ota;Mianxiong Dong;Heng Qi.
IEEE Wireless Communications Letters (2017)

158 Citations

Big Data Analysis-Based Secure Cluster Management for Optimized Control Plane in Software-Defined Networks

Jun Wu;Mianxiong Dong;Kaoru Ota;Jianhua Li.
IEEE Transactions on Network and Service Management (2018)

157 Citations

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