H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 33 Citations 4,292 133 World Ranking 6960 National Ranking 651

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • The Internet
  • Artificial intelligence

Xiaolong Xu mainly focuses on Distributed computing, Edge computing, Computation offloading, Computer network and The Internet. His Distributed computing research includes themes of Scheduling and Resource allocation. His Resource allocation research is multidisciplinary, incorporating elements of Load balancing, Cloud computing security and Fog computing.

Xiaolong Xu has included themes like Genetic algorithm and Mobile device in his Edge computing study. Xiaolong Xu performs integrative study on Computer network and Shortest path problem. The study incorporates disciplines such as Server and Big data in addition to The Internet.

His most cited work include:

  • A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems (112 citations)
  • A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems (112 citations)
  • A computation offloading method over big data for IoT-enabled cloud-edge computing (106 citations)

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

Xiaolong Xu focuses on Distributed computing, Edge computing, Computer network, Computation offloading and Mobile device. Xiaolong Xu interconnects Scheduling, Dynamic priority scheduling, Provisioning and Workflow in the investigation of issues within Distributed computing. His Scheduling research focuses on Quality of service and how it relates to Recommender system.

In his study, Big data is strongly linked to The Internet, which falls under the umbrella field of Edge computing. His studies deal with areas such as Genetic algorithm and Mobile edge computing as well as Computation offloading. Xiaolong Xu studies Cloudlet, a branch of Mobile device.

He most often published in these fields:

  • Distributed computing (51.30%)
  • Edge computing (35.71%)
  • Computer network (31.82%)

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

  • Edge computing (35.71%)
  • Computer network (31.82%)
  • Distributed computing (51.30%)

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

His scientific interests lie mostly in Edge computing, Computer network, Distributed computing, Server and The Internet. He is involved in the study of Edge computing that focuses on Computation offloading in particular. He has researched Computer network in several fields, including Optimization problem and Mobile device.

The concepts of his Distributed computing study are interwoven with issues in Evolutionary algorithm, Scheduling, Job shop scheduling and Big data. His study in Scheduling is interdisciplinary in nature, drawing from both Quality of service and Multi-user. His work deals with themes such as Information privacy, Service and Sensor fusion, which intersect with Server.

Between 2019 and 2021, his most popular works were:

  • A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems (112 citations)
  • A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems (112 citations)
  • BeCome: Blockchain-Enabled Computation Offloading for IoT in Mobile Edge Computing (103 citations)

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

  • Computer network
  • The Internet
  • Artificial intelligence

Xiaolong Xu mainly investigates Edge computing, Distributed computing, Scheduling, Quality of service and Computer network. His work on Computation offloading as part of general Edge computing study is frequently connected to Resource utilization, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Computation offloading research is multidisciplinary, relying on both Resource allocation and Task.

His Distributed computing study combines topics from a wide range of disciplines, such as Provisioning and Job shop scheduling. His research investigates the link between Scheduling and topics such as Workflow that cross with problems in Private information retrieval, Cloudlet, Multimedia, Blockchain and Mobile cloud computing. His study in Computer network is interdisciplinary in nature, drawing from both Optimization problem and Enhanced Data Rates for GSM Evolution.

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

BeCome: Blockchain-Enabled Computation Offloading for IoT in Mobile Edge Computing

Xiaolong Xu;Xuyun Zhang;Honghao Gao;Yuan Xue.
IEEE Transactions on Industrial Informatics (2020)

171 Citations

A computation offloading method over big data for IoT-enabled cloud-edge computing

Xiaolong Xu;Xiaolong Xu;Qingxiang Liu;Yun Luo;Kai Peng.
Future Generation Computer Systems (2019)

168 Citations

A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems

Lianyong Qi;Yi Chen;Yuan Yuan;Shucun Fu.
World Wide Web (2020)

165 Citations

An edge computing-enabled computation offloading method with privacy preservation for internet of connected vehicles

Xiaolong Xu;Xiaolong Xu;Yuan Xue;Lianyong Qi;Yuan Yuan.
Future Generation Computer Systems (2019)

151 Citations

EnReal : An Energy-Aware Resource Allocation Method for Scientific Workflow Executions in Cloud Environment

Xiaolong Xu;Wanchun Dou;Xuyun Zhang;Jinjun Chen.
ieee international conference on cloud computing technology and science (2016)

131 Citations

Big data challenges and opportunities in the hype of Industry 4.0

Maqbool Khan;Xiaotong Wu;Xiaolong Xu;Wanchun Dou.
international conference on communications (2017)

122 Citations

Deep Learning Models for Real-time Human Activity Recognition with Smartphones

Shaohua Wan;Shaohua Wan;Lianyong Qi;Xiaolong Xu;Chao Tong.
Mobile Networks and Applications (2020)

112 Citations

An energy-aware computation offloading method for smart edge computing in wireless metropolitan area networks

Xiaolong Xu;Xiaolong Xu;Yuancheng Li;Tao Huang;Yuan Xue.
Journal of Network and Computer Applications (2019)

107 Citations

Finding All You Need: Web APIs Recommendation in Web of Things Through Keywords Search

Lianyong Qi;Qiang He;Feifei Chen;Wanchun Dou.
IEEE Transactions on Computational Social Systems (2019)

105 Citations

Time-aware distributed service recommendation with privacy-preservation

Lianyong Qi;Ruili Wang;Chunhua Hu;Shancang Li.
Information Sciences (2019)

102 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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