H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 68 Citations 17,433 748 World Ranking 973 National Ranking 84
Electronics and Electrical Engineering H-index 55 Citations 10,922 393 World Ranking 808 National Ranking 94

Research.com Recognitions

Awards & Achievements

2017 - ACM Distinguished Member

2015 - IEEE Fellow For contributions to distributed computing in mobile wireless networks

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Artificial intelligence
  • Operating system

His main research concerns Computer network, Distributed computing, Wireless sensor network, Real-time computing and Mobile computing. The concepts of his Computer network study are interwoven with issues in Wireless ad hoc network, Vehicular ad hoc network, The Internet and Wireless network. His studies in Distributed computing integrate themes in fields like Mobile ad hoc network, Scalability and Cloud computing, Mobile cloud computing.

His biological study spans a wide range of topics, including Sensor node, Key distribution in wireless sensor networks, Simulation and Wireless. His Key distribution in wireless sensor networks research integrates issues from SIMPLE and Cluster analysis. His Real-time computing study also includes fields such as

  • Particle filter which connect with Minimum bounding box,
  • Embedded system that intertwine with fields like Object.

His most cited work include:

  • A framework for partitioning and execution of data stream applications in mobile cloud computing (321 citations)
  • A dynamic user authentication scheme for wireless sensor networks (275 citations)
  • Optimal Cloudlet Placement and User to Cloudlet Allocation in Wireless Metropolitan Area Networks (224 citations)

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

His scientific interests lie mostly in Computer network, Distributed computing, Wireless sensor network, Mobile computing and Real-time computing. Jiannong Cao combines subjects such as Wireless, Wireless ad hoc network and Wireless network with his study of Computer network. His Distributed computing research is multidisciplinary, incorporating perspectives in Scalability and Scheduling.

His Wireless sensor network research is multidisciplinary, relying on both Event, Sensor node, Key distribution in wireless sensor networks and Node. His work carried out in the field of Mobile computing brings together such families of science as The Internet and Mobile search. His study in Protocol Independent Multicast is interdisciplinary in nature, drawing from both IP multicast and Inter-domain.

He most often published in these fields:

  • Computer network (39.59%)
  • Distributed computing (39.90%)
  • Wireless sensor network (18.65%)

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

  • Artificial intelligence (6.84%)
  • Computer network (39.59%)
  • Distributed computing (39.90%)

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

Artificial intelligence, Computer network, Distributed computing, Cloud computing and Machine learning are his primary areas of study. His Artificial intelligence research includes themes of Structure and Pattern recognition. As part of one scientific family, Jiannong Cao deals mainly with the area of Computer network, narrowing it down to issues related to the Wireless, and often Communication channel.

His Distributed computing research incorporates elements of Scheduling and Task analysis. His Cloud computing study combines topics from a wide range of disciplines, such as Wireless sensor network, Enhanced Data Rates for GSM Evolution and Computation. In the field of Machine learning, his study on Dropout and Feature overlaps with subjects such as Popularity.

Between 2017 and 2021, his most popular works were:

  • BlocHIE: A BLOCkchain-Based Platform for Healthcare Information Exchange (86 citations)
  • Big Data Reduction for a Smart City’s Critical Infrastructural Health Monitoring (74 citations)
  • Sustainable and Efficient Data Collection from WSNs to Cloud (50 citations)

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

  • Computer network
  • Artificial intelligence
  • Operating system

Jiannong Cao mostly deals with Artificial intelligence, Wireless, Cloud computing, Deep learning and Machine learning. His Artificial intelligence research incorporates themes from Margin, Structure, Key and Pattern recognition. His Wireless research includes elements of Computer network, Communication channel, Data collection and Similarity.

His work on Next Generation Mobile Networks as part of his general Computer network study is frequently connected to Healthcare data, thereby bridging the divide between different branches of science. Jiannong Cao has included themes like Distributed computing, Wireless sensor network, Critical infrastructure, Event monitoring and Scheduling in his Cloud computing study. Jiannong Cao has researched Wireless sensor network in several fields, including Testbed, Human dynamics, Signal and Upload.

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

A framework for partitioning and execution of data stream applications in mobile cloud computing

Lei Yang;Jiannong Cao;Yin Yuan;Tao Li.
international conference on cloud computing (2012)

472 Citations

A dynamic user authentication scheme for wireless sensor networks

K.H.M. Wong;Yuan Zheng;Jiannong Cao;Shengwei Wang.
sensor networks ubiquitous and trustworthy computing (2006)

453 Citations

Middleware for Wireless Sensor Networks: A Survey

Miao Miao Wang;Miao Miao Wang;Jiannong Cao;Jing Li;Sajal K. Dasi.
Journal of Computer Science and Technology (2008)

311 Citations

An energy-aware routing protocol in wireless sensor networks

Ming Liu;Jiannong Cao;Guihai Chen;Xiaomin Wang.
Sensors (2009)

300 Citations

Optimal Cloudlet Placement and User to Cloudlet Allocation in Wireless Metropolitan Area Networks

Mike Jia;Jiannong Cao;Weifa Liang.
IEEE Transactions on Cloud Computing (2017)

292 Citations

An Intelligent Car Park Management System based on Wireless Sensor Networks

V.W.S. Tang;Yuan Zheng;Jiannong Cao.
international symposium on pervasive computing and applications (2006)

287 Citations

Non-Invasive Detection of Moving and Stationary Human With WiFi

Chenshu Wu;Zheng Yang;Zimu Zhou;Xuefeng Liu.
IEEE Journal on Selected Areas in Communications (2015)

245 Citations

Multiple Populations for Multiple Objectives: A Coevolutionary Technique for Solving Multiobjective Optimization Problems

Zhi-Hui Zhan;Jingjing Li;Jiannong Cao;Jun Zhang.
IEEE Transactions on Systems, Man, and Cybernetics (2013)

223 Citations

Adaptive Traffic Light Control in Wireless Sensor Network-Based Intelligent Transportation System

Binbin Zhou;Jiannong Cao;Xiaoqin Zeng;Hejun Wu.
vehicular technology conference (2010)

212 Citations

Deploying Wireless Sensor Networks with Fault-Tolerance for Structural Health Monitoring

Zakirul Alam Bhuiyan;Guojun Wang;Jiannong Cao;Jie Wu.
IEEE Transactions on Computers (2015)

208 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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Top Scientists Citing Jiannong Cao

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Guojun Wang

Guangzhou University

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Central South University

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Temple University

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Fordham University

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South China University of Technology

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Chinese Academy of Sciences

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Minyi Guo

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Tsinghua University

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Song Guo

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Hong Kong Polytechnic University

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Sanglu Lu

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Nanjing University

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Beijing Normal University

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Télécom SudParis

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Azzedine Boukerche

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