What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- The Internet
His main research concerns Computer network, Computer security, Wireless sensor network, Distributed computing and Big data.
Houbing Song specializes in Computer network, namely Network packet.
His study in the fields of Authentication under the domain of Computer security overlaps with other disciplines such as Reputation.
His Wireless sensor network study integrates concerns from other disciplines, such as Wireless, Energy consumption, Real-time computing, Simulation and Efficient energy use.
His biological study spans a wide range of topics, including Utility computing, Scalability, Cloud computing and Dynamic priority scheduling.
Houbing Song usually deals with Big data and limits it to topics linked to World Wide Web and Data science, Tourism and Ubiquitous network.
His most cited work include:
- Internet of Things and Big Data Analytics for Smart and Connected Communities (420 citations)
- ART: An Attack-Resistant Trust Management Scheme for Securing Vehicular Ad Hoc Networks (212 citations)
- Imperfect Information Dynamic Stackelberg Game Based Resource Allocation Using Hidden Markov for Cloud Computing (187 citations)
What are the main themes of his work throughout his whole career to date?
Houbing Song spends much of his time researching Computer network, Artificial intelligence, Computer security, Distributed computing and Wireless sensor network.
Houbing Song studied Computer network and Energy consumption that intersect with Efficient energy use.
His research integrates issues of Machine learning, Computer vision and Pattern recognition in his study of Artificial intelligence.
Computer security connects with themes related to Cyber-physical system in his study.
Within one scientific family, he focuses on topics pertaining to Cloud computing under Distributed computing, and may sometimes address concerns connected to Big data.
His Wireless sensor network study incorporates themes from Node and Key distribution in wireless sensor networks.
He most often published in these fields:
- Computer network (24.11%)
- Artificial intelligence (15.60%)
- Computer security (12.06%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (15.60%)
- Computer network (24.11%)
- Deep learning (4.96%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Computer network, Deep learning, Distributed computing and Real-time computing are his primary areas of study.
His study on Artificial intelligence also encompasses disciplines like
- Pattern recognition that connect with fields like Feature,
- Identification together with Wireless, Class and Code.
In most of his Computer network studies, his work intersects topics such as Energy consumption.
His Energy consumption study combines topics in areas such as Scalability, Resource, Node, Cloud computing and Server.
His study in Distributed computing is interdisciplinary in nature, drawing from both Relay, Throughput and Smart city.
The various areas that Houbing Song examines in his Real-time computing study include Data transmission and Air traffic control.
Between 2019 and 2021, his most popular works were:
- Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures (90 citations)
- A Compressive Sensing-Based Approach to End-to-End Network Traffic Reconstruction (89 citations)
- Rethinking Behaviors and Activities of Base Stations in Mobile Cellular Networks Based on Big Data Analysis (76 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- Operating system
The scientist’s investigation covers issues in Computer network, Artificial intelligence, Deep learning, Distributed computing and Data mining.
The concepts of his Computer network study are interwoven with issues in Energy consumption, Information privacy and Cognitive radio.
His Energy consumption study combines topics from a wide range of disciplines, such as Latency and Cloud computing.
His Artificial intelligence research includes elements of Machine learning, Task analysis and Natural language processing.
His Distributed computing research is multidisciplinary, relying on both Node, Wireless ad hoc network and Cluster analysis.
His study of Big data is a part of Data mining.
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