H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 83 Citations 26,540 446 World Ranking 362 National Ranking 29

Research.com Recognitions

Awards & Achievements

2021 - IEEE Fellow For contributions to data-driven communication, caching, and computing

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer network
  • Operating system

His primary scientific interests are in Computer network, Cloud computing, Wireless sensor network, Distributed computing and Wireless. His studies deal with areas such as Energy consumption and Efficient energy use as well as Computer network. His work carried out in the field of Cloud computing brings together such families of science as Provisioning, Quality of experience, Mobile device and Big data.

His Big data course of study focuses on Health care and Wearable computer and Data science. His Wireless sensor network research incorporates elements of Mobile agent, Key distribution in wireless sensor networks, Wireless network, Embedded system and Routing protocol. His study in Wireless is interdisciplinary in nature, drawing from both Cellular network, Machine to machine and Cache.

His most cited work include:

  • Big Data: A Survey (1645 citations)
  • Body Area Networks: A Survey (1044 citations)
  • Cache in the air: exploiting content caching and delivery techniques for 5G systems (863 citations)

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

Min Chen spends much of his time researching Computer network, Visualization, Cloud computing, Distributed computing and Wireless sensor network. Min Chen combines subjects such as Wireless, Wireless network and Efficient energy use with his study of Computer network. His research brings together the fields of Data science and Visualization.

His Cloud computing study frequently intersects with other fields, such as Mobile device. His Wireless sensor network study combines topics from a wide range of disciplines, such as Key distribution in wireless sensor networks and Mobile agent. He is involved in the study of Key distribution in wireless sensor networks that focuses on Mobile wireless sensor network in particular.

He most often published in these fields:

  • Computer network (20.30%)
  • Visualization (12.71%)
  • Cloud computing (9.58%)

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

  • Visualization (12.71%)
  • Data science (7.31%)
  • Cloud computing (9.58%)

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

Visualization, Data science, Cloud computing, Artificial intelligence and Computer network are his primary areas of study. His is involved in several facets of Visualization study, as is seen by his studies on Data visualization and Visual analytics. His Field research extends to Data science, which is thematically connected.

His research on Cloud computing also deals with topics like

  • Distributed computing, which have a strong connection to Edge computing,
  • Mobile device which is related to area like Latency. His primary area of study in Computer network is in the field of Wireless sensor network. His research investigates the connection with Deep learning and areas like Data mining which intersect with concerns in Soil and Water Assessment Tool and Sensitivity.

Between 2018 and 2021, his most popular works were:

  • The mental health of medical workers in Wuhan, China dealing with the 2019 novel coronavirus. (548 citations)
  • Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 novel coronavirus disease outbreak: A cross-sectional study. (352 citations)
  • In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning (246 citations)

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

  • Artificial intelligence
  • Computer network
  • Operating system

Min Chen mainly focuses on Cloud computing, Artificial intelligence, Data science, Data mining and Photosynthesis. Min Chen works on Cloud computing which deals in particular with Edge computing. His work deals with themes such as Data modeling, Machine learning and Code, which intersect with Artificial intelligence.

The various areas that Min Chen examines in his Data science study include Conceptual framework, Shared resource, Systems design, Use case and Field. His Photosynthesis research is multidisciplinary, incorporating elements of Chlorophyll and Chlorophyll a. His Cognitive computing research integrates issues from Scheme, Computer network, Energy consumption and Wireless.

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

Big Data: A Survey

Min Chen;Shiwen Mao;Yunhao Liu.
Mobile Networks and Applications (2014)

2873 Citations

Body Area Networks: A Survey

Min Chen;Sergio Gonzalez;Athanasios Vasilakos;Huasong Cao.
Mobile Networks and Applications (2011)

1517 Citations

Cache in the air: exploiting content caching and delivery techniques for 5G systems

Xiaofei Wang;Min Chen;Tarik Taleb;Adlen Ksentini.
IEEE Communications Magazine (2014)

912 Citations

Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures

Xueshi Hou;Yong Li;Min Chen;Di Wu.
IEEE Transactions on Vehicular Technology (2016)

502 Citations

A Survey on Internet of Things From Industrial Market Perspective

Charith Perera;Chi Harold Liu;Srimal Jayawardena;Min Chen.
IEEE Access (2014)

502 Citations

Brain Intelligence: Go beyond Artificial Intelligence

Huimin Lu;Yujie Li;Min Chen;Hyoungseop Kim.
Mobile Networks and Applications (2018)

419 Citations

Software-Defined Network Function Virtualization: A Survey

Yong Li;Min Chen.
IEEE Access (2015)

394 Citations

A Survey of Green Mobile Networks: Opportunities and Challenges

Xiaofei Wang;Athanasios V. Vasilakos;Min Chen;Yunhao Liu.
Mobile Networks and Applications (2012)

387 Citations

A Red-Shifted Chlorophyll

Min Chen;Martin Schliep;Robert D. Willows;Zheng Li Cai.
Science (2010)

377 Citations

Disease Prediction by Machine Learning Over Big Data From Healthcare Communities

Min Chen;Yixue Hao;Kai Hwang;Lu Wang.
IEEE Access (2017)

373 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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