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 33 Citations 5,822 240 World Ranking 6772 National Ranking 3218

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Computer network

His primary scientific interests are in Distributed computing, Scheduling, Fair-share scheduling, Real-time computing and Dynamic priority scheduling. His biological study spans a wide range of topics, including Schedule, Resource allocation, Embedded system and Computer security model. His Resource allocation research focuses on Cloud computing and how it connects with Online optimization.

Xiao Qin has included themes like Parallel algorithm, Parallel computing and Backup in his Scheduling study. The concepts of his Parallel computing study are interwoven with issues in Energy efficient scheduling, Algorithm design and Cluster analysis. His Earliest deadline first scheduling research incorporates themes from Round-robin scheduling, Least slack time scheduling and Fixed-priority pre-emptive scheduling.

His most cited work include:

  • Improving MapReduce performance through data placement in heterogeneous Hadoop clusters (339 citations)
  • Online optimization for scheduling preemptable tasks on IaaS cloud systems (302 citations)
  • Scheduling security-critical real-time applications on clusters (117 citations)

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

His scientific interests lie mostly in Distributed computing, Scheduling, Parallel computing, Real-time computing and Workload. His work deals with themes such as Resource allocation, Dynamic priority scheduling and Fair-share scheduling, which intersect with Distributed computing. His Scheduling study frequently links to related topics such as Schedule.

His studies in Parallel computing integrate themes in fields like Input/output and Computer cluster. His Real-time computing study integrates concerns from other disciplines, such as Data center, Software security assurance, Computer security model and Computer data storage. His research integrates issues of Dynamic load balancing and Server in his study of Workload.

He most often published in these fields:

  • Distributed computing (35.53%)
  • Scheduling (21.71%)
  • Parallel computing (16.45%)

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

  • Artificial intelligence (8.55%)
  • Data mining (7.24%)
  • Scalability (5.59%)

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

Xiao Qin spends much of his time researching Artificial intelligence, Data mining, Scalability, Distributed computing and Cluster analysis. The study incorporates disciplines such as Machine learning, Pattern recognition, Computer vision and Natural language processing in addition to Artificial intelligence. His research investigates the connection between Data mining and topics such as Outlier that intersect with issues in Anomaly detection.

His study looks at the relationship between Scalability and fields such as Data center, as well as how they intersect with chemical problems. The various areas that he examines in his Distributed computing study include Workload, Scheduling, Server and Erasure code. Key is closely connected to Tree in his research, which is encompassed under the umbrella topic of Scheduling.

Between 2018 and 2021, his most popular works were:

  • Detecting fake news for reducing misinformation risks using analytics approaches (24 citations)
  • Adverse Drug Event Detection from Electronic Health Records Using Hierarchical Recurrent Neural Networks with Dual-Level Embedding. (14 citations)
  • Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams. (11 citations)

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

  • Operating system
  • Artificial intelligence
  • Computer network

Xiao Qin mainly investigates Data mining, Linear subspace, Cluster analysis, Artificial intelligence and Anomaly detection. His research on Cluster analysis frequently connects to adjacent areas such as Categorical variable. His Categorical variable research incorporates elements of Hierarchical clustering, Entropy, Feature extraction, Pattern recognition and Speedup.

His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Named-entity recognition. His Machine learning research includes elements of Smoothing, Algorithm design and Microbiome. His Anomaly detection research is multidisciplinary, incorporating elements of Interpretability, Data stream mining, Scalability and Outlier.

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

Improving MapReduce performance through data placement in heterogeneous Hadoop clusters

Jiong Xie;Shu Yin;Xiaojun Ruan;Zhiyang Ding.
ieee international symposium on parallel distributed processing workshops and phd forum (2010)

541 Citations

Online optimization for scheduling preemptable tasks on IaaS cloud systems

Jiayin Li;Meikang Qiu;Zhong Ming;Gang Quan.
Journal of Parallel and Distributed Computing (2012)

424 Citations

A novel fault-tolerant scheduling algorithm for precedence constrained tasks in real-time heterogeneous systems

Xiao Qin;Hong Jiang.
parallel computing (2006)

181 Citations

Scheduling security-critical real-time applications on clusters

T. Xie;X. Qin.
IEEE Transactions on Computers (2006)

174 Citations

EAD and PEBD: Two Energy-Aware Duplication Scheduling Algorithms for Parallel Tasks on Homogeneous Clusters

Ziliang Zong;A Manzanares;Xiaojun Ruan;Xiao Qin.
IEEE Transactions on Computers (2011)

164 Citations

Towards energy-efficient scheduling for real-time tasks under uncertain cloud computing environment

Huangke Chen;Xiaomin Zhu;Hui Guo;Jianghan Zhu.
Journal of Systems and Software (2015)

162 Citations

A dynamic and reliability-driven scheduling algorithm for parallel real-time jobs executing on heterogeneous clusters

Xiao Qin;Hong Jiang.
Journal of Parallel and Distributed Computing (2005)

158 Citations

QoS-Aware Fault-Tolerant Scheduling for Real-Time Tasks on Heterogeneous Clusters

Xiaomin Zhu;Xiao Qin;Meikang Qiu.
IEEE Transactions on Computers (2011)

150 Citations

An efficient fault-tolerant scheduling algorithm for real-time tasks with precedence constraints in heterogeneous systems

Xiao Qin;Hong Jiang;D.R. Swanson.
international conference on parallel processing (2002)

142 Citations

The ${\schmi g}$ -Good-Neighbor Conditional Diagnosability of ${\schmi k}$ -Ary ${\schmi n}$ -Cubes under the PMC Modeland MM* Model

Jun Yuan;Aixia Liu;Xue Ma;Xiuli Liu.
IEEE Transactions on Parallel and Distributed Systems (2015)

120 Citations

Best Scientists Citing Xiao Qin

Meikang Qiu

Meikang Qiu

Texas A&M University

Publications: 94

Keke Gai

Keke Gai

Beijing Institute of Technology

Publications: 45

Keqin Li

Keqin Li

State University of New York

Publications: 37

Kenli Li

Kenli Li

Hunan University

Publications: 25

Prasanta K. Jana

Prasanta K. Jana

Indian Institutes of Technology

Publications: 24

Laurence T. Yang

Laurence T. Yang

St. Francis Xavier University

Publications: 23

Albert Y. Zomaya

Albert Y. Zomaya

University of Sydney

Publications: 15

Rodolfo Pellizzoni

Rodolfo Pellizzoni

University of Waterloo

Publications: 14

Jitender S. Deogun

Jitender S. Deogun

University of Nebraska–Lincoln

Publications: 10

Ching-Hsien Hsu

Ching-Hsien Hsu

Asian University

Publications: 10

Athanasios V. Vasilakos

Athanasios V. Vasilakos

Luleå University of Technology

Publications: 9

Hong Jiang

Hong Jiang

The University of Texas at Arlington

Publications: 9

Rajkumar Buyya

Rajkumar Buyya

University of Melbourne

Publications: 9

Bharadwaj Veeravalli

Bharadwaj Veeravalli

National University of Singapore

Publications: 9

Samee U. Khan

Samee U. Khan

Mississippi State University

Publications: 9

Dan Feng

Dan Feng

Huazhong University of Science and Technology

Publications: 8

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

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