What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
Honggang Wang focuses on Computer network, Wireless sensor network, Wireless, Wireless network and Efficient energy use.
His Computer network research incorporates elements of Multimedia, Mobile device and Hidden Markov model.
His studies in Wireless sensor network integrate themes in fields like Network packet, Energy harvesting, Real-time computing, Embedded system and Encryption.
In general Wireless study, his work on Cognitive radio often relates to the realm of Key distribution, thereby connecting several areas of interest.
Honggang Wang combines subjects such as Body area network, Image sensor and Image quality with his study of Wireless network.
Honggang Wang has included themes like Resource allocation, Topology control and Communications system in his Efficient energy use study.
His most cited work include:
- Visible light communications for 5G wireless networking systems: from fixed to mobile communications (256 citations)
- ECG-Cryptography and Authentication in Body Area Networks (178 citations)
- QoE-Driven Channel Allocation Schemes for Multimedia Transmission of Priority-Based Secondary Users over Cognitive Radio Networks (135 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Computer network, Wireless, Wireless sensor network, Wireless network and Real-time computing.
The study incorporates disciplines such as Distributed computing, Key distribution in wireless sensor networks, Efficient energy use and Communication channel in addition to Computer network.
His Efficient energy use study frequently links to related topics such as Energy consumption.
His research in Wireless intersects with topics in Node and Authentication.
Honggang Wang has researched Wireless sensor network in several fields, including Image quality, Resource allocation, Transmission, Distributed source coding and Encryption.
His study ties his expertise on Network packet together with the subject of Wireless network.
He most often published in these fields:
- Computer network (50.16%)
- Wireless (26.33%)
- Wireless sensor network (22.26%)
What were the highlights of his more recent work (between 2018-2021)?
- Wireless (26.33%)
- Computer network (50.16%)
- Distributed computing (10.03%)
In recent papers he was focusing on the following fields of study:
Honggang Wang mainly focuses on Wireless, Computer network, Distributed computing, Wearable computer and Real-time computing.
His research in Wireless is mostly focused on Body area network.
His Computer network research integrates issues from Edge computing, Enhanced Data Rates for GSM Evolution and Body area.
His Distributed computing study incorporates themes from Spectral clustering, Cluster analysis, Speedup and Slicing.
His Wearable computer research incorporates elements of Optoelectronics, Supervised learning and Key.
Honggang Wang works mostly in the field of Real-time computing, limiting it down to topics relating to Wearable technology and, in certain cases, Field, Transmission and Telecommunications network.
Between 2018 and 2021, his most popular works were:
- Blockchain-Based Internet of Vehicles: Distributed Network Architecture and Performance Analysis (91 citations)
- A Feature-Based Learning System for Internet of Things Applications (50 citations)
- Cache Less for More: Exploiting Cooperative Video Caching and Delivery in D2D Communications (32 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
Honggang Wang focuses on Wireless, Computer network, The Internet, Blockchain and Data transmission.
Honggang Wang is studying Cognitive radio, which is a component of Wireless.
In his works, Honggang Wang performs multidisciplinary study on Computer network and Resource management.
His research in The Internet intersects with topics in Trusted Computing, Security management, Information security and Distributed data store.
His Blockchain research integrates issues from Confidentiality, Data integrity, Protocol and Enterprise information security architecture.
The Data transmission study combines topics in areas such as Mechanism, Similarity, Network performance and Virtual reality.
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