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.
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