D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 44 Citations 7,744 317 World Ranking 4826 National Ranking 127

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Database

The scientist’s investigation covers issues in Distributed computing, Cloud computing, Workflow, Database and Workflow management system. His Distributed computing research is multidisciplinary, incorporating elements of Redundancy, Grid computing, Consistency and The Internet. Yun Yang has researched Cloud computing in several fields, including Quality of service, Volume and Benchmark.

Yun Yang combines subjects such as Scheduling, Data mining, Data management and Selection strategy with his study of Workflow. His Database research integrates issues from Task and Computer data storage. His Workflow management system study integrates concerns from other disciplines, such as Workflow technology and Workflow engine.

His most cited work include:

  • Achieving convergence, causality preservation, and intention preservation in real-time cooperative editing systems (554 citations)
  • A data placement strategy in scientific cloud workflows (262 citations)
  • A market-oriented hierarchical scheduling strategy in cloud workflow systems (197 citations)

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

Yun Yang mainly investigates Cloud computing, Distributed computing, Workflow, Quality of service and Workflow management system. His studies deal with areas such as Service provider, Computer network, Server and Database as well as Cloud computing. The Distributed computing study combines topics in areas such as Consistency, Grid computing, Real-time computing and Scheduling, Dynamic priority scheduling.

His work carried out in the field of Workflow brings together such families of science as Business process, Correctness, Data mining and Temporal consistency. His Quality of service study incorporates themes from Quality and Web service. His Workflow management system research is multidisciplinary, incorporating perspectives in Workflow technology and Workflow engine.

He most often published in these fields:

  • Cloud computing (42.19%)
  • Distributed computing (40.31%)
  • Workflow (31.56%)

What were the highlights of his more recent work (between 2018-2021)?

  • Cloud computing (42.19%)
  • Computer network (10.00%)
  • Edge computing (6.88%)

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

Cloud computing, Computer network, Edge computing, Distributed computing and Quality of service are his primary areas of study. The study incorporates disciplines such as Data mining, Software deployment, Software, The Internet and Scheduling in addition to Cloud computing. The various areas that he examines in his Computer network study include Data integrity and Game theory.

His research integrates issues of Data as a service, Business process, Blockchain and Workflow in his study of Distributed computing. His primary area of study in Workflow is in the field of Workflow management system. His Quality of service research integrates issues from Quality, Resource allocation, Leverage, Service provider and Information privacy.

Between 2018 and 2021, his most popular works were:

  • A Game-Theoretical Approach for User Allocation in Edge Computing Environment (65 citations)
  • Covering-based Web Service Quality Prediction via Neighborhood-aware Matrix Factorization (55 citations)
  • A novel directional and non-local-convergent particle swarm optimization based workflow scheduling in cloud–edge environment (28 citations)

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

  • Operating system
  • Artificial intelligence
  • Computer network

Yun Yang focuses on Cloud computing, Edge computing, Distributed computing, Server and Computer network. His Cloud computing research includes themes of Software and Data mining. His biological study spans a wide range of topics, including Data modeling, Algorithm design and Workflow.

His Workflow study focuses on Workflow management system in particular. The concepts of his Server study are interwoven with issues in Quality of experience, Enhanced Data Rates for GSM Evolution, Base station, Integer programming and Robustness. His Quality of service study in the realm of Computer network interacts with subjects such as Resource management.

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

Achieving convergence, causality preservation, and intention preservation in real-time cooperative editing systems

Chengzheng Sun;Xiaohua Jia;Yanchun Zhang;Yun Yang.
ACM Transactions on Computer-Human Interaction (1998)

900 Citations

A data placement strategy in scientific cloud workflows

Dong Yuan;Yun Yang;Xiao Liu;Jinjun Chen.
Future Generation Computer Systems (2010)

428 Citations

A market-oriented hierarchical scheduling strategy in cloud workflow systems

Zhangjun Wu;Zhangjun Wu;Xiao Liu;Zhiwei Ni;Dong Yuan.
The Journal of Supercomputing (2013)

356 Citations

A Compromised-Time-Cost Scheduling Algorithm in SwinDeW-C for Instance-Intensive Cost-Constrained Workflows on a Cloud Computing Platform

Ke Liu;Hai Jin;Jinjun Chen;Xiao Liu.
ieee international conference on high performance computing data and analytics (2010)

234 Citations

A Game-Theoretical Approach for User Allocation in Edge Computing Environment

Qiang He;Guangming Cui;Xuyun Zhang;Feifei Chen.
IEEE Transactions on Parallel and Distributed Systems (2020)

190 Citations

Robust Scheduling of Scientific Workflows with Deadline and Budget Constraints in Clouds

Deepak Poola;Saurabh Kumar Garg;Rajkumar Buyya;Yun Yang.
advanced information networking and applications (2014)

165 Citations

Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing

Phu Lai;Qiang He;Mohamed Abdelrazek;Feifei Chen.
international conference on service oriented computing (2018)

159 Citations

On-demand minimum cost benchmarking for intermediate dataset storage in scientific cloud workflow systems

Dong Yuan;Yun Yang;Xiao Liu;Jinjun Chen.
Journal of Parallel and Distributed Computing (2011)

129 Citations

Quality-Aware Service Selection for Service-Based Systems Based on Iterative Multi-Attribute Combinatorial Auction

Qiang He;Jun Yan;Hai Jin;Yun Yang.
IEEE Transactions on Software Engineering (2014)

129 Citations

SwinDeW-a p2p-based decentralized workflow management system

Jun Yan;Yun Yang;G.K. Raikundalia.
systems man and cybernetics (2006)

123 Citations

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