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 64 Citations 11,515 264 World Ranking 1241 National Ranking 29

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • The Internet

Jinjun Chen mostly deals with Cloud computing, Big data, Data mining, Distributed computing and Scalability. Jinjun Chen interconnects Computer security, Volume and Workflow, Database in the investigation of issues within Cloud computing. His Workflow research is multidisciplinary, incorporating perspectives in Dependency and Scheduling.

His work in Big data addresses subjects such as Data security, which are connected to disciplines such as Data integrity, Block and Dynamic data. Jinjun Chen has researched Distributed computing in several fields, including Redundancy, Denial-of-service attack, Network security and Network packet. His study in Scalability is interdisciplinary in nature, drawing from both Distributed database, Collaborative filtering, Data anonymization, World Wide Web and Information management.

His most cited work include:

  • A data placement strategy in scientific cloud workflows (262 citations)
  • Detection of Malicious Code Variants Based on Deep Learning (182 citations)
  • A Scalable Two-Phase Top-Down Specialization Approach for Data Anonymization Using MapReduce on Cloud (177 citations)

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

Jinjun Chen spends much of his time researching Cloud computing, Distributed computing, Workflow, Big data and Data mining. His research integrates issues of Scalability, Database and Computer security, Information privacy, Encryption in his study of Cloud computing. His Distributed computing research also works with subjects such as

  • Scheduling together with Energy consumption,
  • Quality of service that connect with fields like Service.

The various areas that Jinjun Chen examines in his Workflow study include Virtual machine and Business process. Jinjun Chen focuses mostly in the field of Big data, narrowing it down to matters related to Data security and, in some cases, Cloud computing security. His biological study spans a wide range of topics, including Workflow technology and Workflow engine.

He most often published in these fields:

  • Cloud computing (40.85%)
  • Distributed computing (27.74%)
  • Workflow (26.83%)

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

  • Blockchain (3.66%)
  • Algorithm (5.79%)
  • Cloud computing (40.85%)

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

Jinjun Chen focuses on Blockchain, Algorithm, Cloud computing, Differential privacy and Computer security. The concepts of his Blockchain study are interwoven with issues in Node, Computer network and Hash function. He combines subjects such as Distributed computing, Encryption, Computational science and Big data with his study of Cloud computing.

His biological study spans a wide range of topics, including Scheduling, Efficient energy use and Scalability. Jinjun Chen studied Scheduling and Workflow that intersect with Private information retrieval and Optimization problem. He works mostly in the field of Computer security, limiting it down to topics relating to Cyber-physical system and, in certain cases, Data processing, Social system, Human–computer interaction, B-tree and Floorplan, as a part of the same area of interest.

Between 2019 and 2021, his most popular works were:

  • Differential Privacy Techniques for Cyber Physical Systems: A Survey (116 citations)
  • High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm (112 citations)
  • A Gaussian error correction multi‐objective positioning model with NSGA‐II (69 citations)

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

  • Operating system
  • Artificial intelligence
  • The Internet

Jinjun Chen mainly investigates Algorithm, Cloud computing, Private information retrieval, Distributed computing and Scheduling. His studies deal with areas such as Chaotic, Computational intelligence and Hop as well as Algorithm. He has included themes like Image, Encryption, Random permutation and Compressed sensing in his Cloud computing study.

His research on Distributed computing frequently connects to adjacent areas such as Workflow. His Workflow study combines topics from a wide range of disciplines, such as Optimization problem and Big data. In general Computer security, his work in Information privacy is often linked to Medical systems linking many areas of 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

A data placement strategy in scientific cloud workflows

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

414 Citations

A Scalable Two-Phase Top-Down Specialization Approach for Data Anonymization Using MapReduce on Cloud

Xuyun Zhang;Laurence T. Yang;Chang Liu;Jinjun Chen.
IEEE Transactions on Parallel and Distributed Systems (2014)

283 Citations

A novel oriented cuckoo search algorithm to improve DV-Hop performance for cyberphysical systems

Zhihua Cui;Bin Sun;Gaige Wang;Yu Xue.
Journal of Parallel and Distributed Computing (2017)

274 Citations

Detection of Malicious Code Variants Based on Deep Learning

Zhihua Cui;Fei Xue;Xingjuan Cai;Yang Cao.
IEEE Transactions on Industrial Informatics (2018)

256 Citations

Authorized Public Auditing of Dynamic Big Data Storage on Cloud with Efficient Verifiable Fine-Grained Updates

Chang Liu;Jinjun Chen;Laurence T. Yang;Xuyun Zhang.
IEEE Transactions on Parallel and Distributed Systems (2014)

237 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)

223 Citations

KASR: A Keyword-Aware Service Recommendation Method on MapReduce for Big Data Applications

Shunmei Meng;Wanchun Dou;Xuyun Zhang;Jinjun Chen.
IEEE Transactions on Parallel and Distributed Systems (2014)

195 Citations

Optimal LEACH protocol with modified bat algorithm for big data sensing systems in Internet of Things

Zhihua Cui;Yang Cao;Xingjuan Cai;Jianghui Cai.
Journal of Parallel and Distributed Computing (2018)

193 Citations

Hybrid multi-objective cuckoo search with dynamical local search

Maoqing Zhang;Hui Wang;Zhihua Cui;Jinjun Chen;Jinjun Chen.
Memetic Computing (2018)

191 Citations

A Privacy Leakage Upper Bound Constraint-Based Approach for Cost-Effective Privacy Preserving of Intermediate Data Sets in Cloud

Xuyun Zhang;Chang Liu;Surya Nepal;Suraj Pandey.
IEEE Transactions on Parallel and Distributed Systems (2013)

184 Citations

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