H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 30 Citations 3,777 108 World Ranking 8489 National Ranking 795

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Software

His primary scientific interests are in Distributed computing, Scheduling, Scalability, Data-intensive computing and Dynamic priority scheduling. Dan Chen combines subjects such as Network architecture, Software deployment, Network packet, Cloud computing and High-level architecture with his study of Distributed computing. His Cloud computing study incorporates themes from Petabyte, Reliability, Workflow and Distributed design patterns.

The various areas that Dan Chen examines in his Scheduling study include Supercomputer, HPC Challenge Benchmark and Resource allocation. Dan Chen has researched Scalability in several fields, including Real-time computing, Data transmission and Warning system. His Data-intensive computing research incorporates elements of Data access, Distributed database, Database, Parallel I/O and Big data.

His most cited work include:

  • G-Hadoop: MapReduce across distributed data centers for data-intensive computing (273 citations)
  • Energy-aware parallel task scheduling in a cluster (151 citations)
  • Crowd modeling and simulation technologies (127 citations)

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

Dan Chen spends much of his time researching Distributed computing, Artificial intelligence, Pattern recognition, General-purpose computing on graphics processing units and Scalability. His studies deal with areas such as Grid computing, Cloud computing, Workflow and High-level architecture as well as Distributed computing. His work in Workflow covers topics such as Data-intensive computing which are related to areas like File system.

His study in the fields of Entropy under the domain of Artificial intelligence overlaps with other disciplines such as Noise. His Pattern recognition research incorporates themes from Artificial neural network, Hyperparameter, Synchronization and Sensitivity. His Graphics processing unit research focuses on Signal processing and how it connects with Hilbert–Huang transform.

He most often published in these fields:

  • Distributed computing (35.88%)
  • Artificial intelligence (20.61%)
  • Pattern recognition (14.50%)

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

  • Pattern recognition (14.50%)
  • Artificial intelligence (20.61%)
  • Reinforcement learning (4.58%)

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

His main research concerns Pattern recognition, Artificial intelligence, Reinforcement learning, Synchronization and Cloud computing. His Pattern recognition study integrates concerns from other disciplines, such as Artificial neural network and Sensitivity. Dan Chen interconnects Stability and Discrete system in the investigation of issues within Artificial neural network.

His Bayesian probability, Hyperparameter and Deep learning study in the realm of Artificial intelligence interacts with subjects such as Noise and Sleep disorder. His Reinforcement learning study combines topics in areas such as Vaccination, Bounded rationality and Risk of infection. Many of his research projects under Cloud computing are closely connected to Service level with Service level, tying the diverse disciplines of science together.

Between 2017 and 2021, his most popular works were:

  • Incremental Factorization of Big Time Series Data with Blind Factor Approximation (24 citations)
  • Towards Brain Big Data Classification: Epileptic EEG Identification With a Lightweight VGGNet on Global MIC (23 citations)
  • Cloud‐aided online EEG classification system for brain healthcare: A case study of depression evaluation with a lightweight CNN (20 citations)

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

  • Operating system
  • Artificial intelligence
  • Computer network

Dan Chen focuses on Pattern recognition, Artificial intelligence, Eeg classification, Sensitivity and Bayesian inference. His Pattern recognition study combines topics from a wide range of disciplines, such as Artificial neural network, Bayesian optimization and Hyperparameter. Depression, Thesaurus, Cloud computing, Information retrieval and Performance improvement are fields of study that intersect with his Eeg classification study.

Dan Chen has included themes like Synchronization, Big data and Identification in his Sensitivity study. His Bayesian inference research overlaps with Factorization, Tensor and Rank. Exponential family, GPU cluster, Algorithm, Massively parallel and Time complexity are fields of study that overlap with his Factorization research.

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

G-Hadoop: MapReduce across distributed data centers for data-intensive computing

Lizhe Wang;Jie Tao;Rajiv Ranjan;Holger Marten.
Future Generation Computer Systems (2013)

376 Citations

Crowd modeling and simulation technologies

Suiping Zhou;Dan Chen;Wentong Cai;Linbo Luo.
ACM Transactions on Modeling and Computer Simulation (2010)

224 Citations

Energy-aware parallel task scheduling in a cluster

Lizhe Wang;Lizhe Wang;Samee U. Khan;Dan Chen;Joanna KołOdziej.
Future Generation Computer Systems (2013)

198 Citations

Natural Disaster Monitoring with Wireless Sensor Networks: A Case Study of Data-intensive Applications upon Low-Cost Scalable Systems

Dan Chen;Zhixin Liu;Lizhe Wang;Minggang Dou.
Mobile Networks and Applications (2013)

177 Citations

Agent-based human behavior modeling for crowd simulation

Linbo Luo;Suiping Zhou;Wentong Cai;Malcolm Yoke Hean Low.
Computer Animation and Virtual Worlds (2008)

152 Citations

A survey on resource allocation in high performance distributed computing systems

Hameed Hussain;Saif Ur Rehman Malik;Abdul Hameed;Samee Ullah Khan.
parallel computing (2013)

144 Citations

Quantitative comparisons of the state-of-the-art data center architectures

Kashif Bilal;Samee Ullah Khan;Limin Zhang;Hongxiang Li.
Concurrency and Computation: Practice and Experience (2013)

133 Citations

GPGPU-Aided Ensemble Empirical-Mode Decomposition for EEG Analysis During Anesthesia

Dan Chen;Duan Li;Muzhou Xiong;Hong Bao.
international conference of the ieee engineering in medicine and biology society (2010)

119 Citations

A survey on text mining in social networks

Rizwana Irfan;Christine K. King;Daniel Grages;Sam J. Ewen.
Knowledge Engineering Review (2015)

115 Citations

Comparative study of trust and reputation systems for wireless sensor networks

Osman Khalid;Samee Ullah Khan;Sajjad Ahmad Madani;Khizar Hayat.
Security and Communication Networks (2013)

105 Citations

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Best Scientists Citing Dan Chen

Rajiv Ranjan

Rajiv Ranjan

Newcastle University

Publications: 55

Lizhe Wang

Lizhe Wang

China University of Geosciences

Publications: 44

Albert Y. Zomaya

Albert Y. Zomaya

University of Sydney

Publications: 36

Samee U. Khan

Samee U. Khan

Mississippi State University

Publications: 32

Wentong Cai

Wentong Cai

Nanyang Technological University

Publications: 29

Kim-Kwang Raymond Choo

Kim-Kwang Raymond Choo

The University of Texas at San Antonio

Publications: 28

Joanna Kolodziej

Joanna Kolodziej

University of Bielsko-Biała

Publications: 16

Keqin Li

Keqin Li

State University of New York

Publications: 14

Yunhuai Liu

Yunhuai Liu

Peking University

Publications: 12

Xiaoli Li

Xiaoli Li

Agency for Science, Technology and Research

Publications: 11

Abdullah Gani

Abdullah Gani

University of Malaya

Publications: 9

Xinping Guan

Xinping Guan

Shanghai Jiao Tong University

Publications: 9

Pascal Bouvry

Pascal Bouvry

University of Luxembourg

Publications: 8

Laurence T. Yang

Laurence T. Yang

St. Francis Xavier University

Publications: 7

Srikantan S. Nagarajan

Srikantan S. Nagarajan

University of California, San Francisco

Publications: 7

John W. Fowler

John W. Fowler

Arizona State University

Publications: 7

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