2021 - IEEE Fellow For contributions to data-driven communication, caching, and computing
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.
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.
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
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.
Big Data: A Survey
Min Chen;Shiwen Mao;Yunhao Liu.
Mobile Networks and Applications (2014)
Body Area Networks: A Survey
Min Chen;Sergio Gonzalez;Athanasios Vasilakos;Huasong Cao.
Mobile Networks and Applications (2011)
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)
Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures
Xueshi Hou;Yong Li;Min Chen;Di Wu.
IEEE Transactions on Vehicular Technology (2016)
A Survey on Internet of Things From Industrial Market Perspective
Charith Perera;Chi Harold Liu;Srimal Jayawardena;Min Chen.
IEEE Access (2014)
Brain Intelligence: Go beyond Artificial Intelligence
Huimin Lu;Yujie Li;Min Chen;Hyoungseop Kim.
Mobile Networks and Applications (2018)
Software-Defined Network Function Virtualization: A Survey
Yong Li;Min Chen.
IEEE Access (2015)
A Survey of Green Mobile Networks: Opportunities and Challenges
Xiaofei Wang;Athanasios V. Vasilakos;Min Chen;Yunhao Liu.
Mobile Networks and Applications (2012)
A Red-Shifted Chlorophyll
Min Chen;Martin Schliep;Robert D. Willows;Zheng Li Cai.
Disease Prediction by Machine Learning Over Big Data From Healthcare Communities
Min Chen;Yixue Hao;Kai Hwang;Lu Wang.
IEEE Access (2017)
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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