What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Wireless
The scientist’s investigation covers issues in Computer network, Communication channel, Big data, Wireless and Vehicular ad hoc network.
The concepts of his Computer network study are interwoven with issues in Channel state information and Throughput.
Haibo Zhou works mostly in the field of Communication channel, limiting it down to topics relating to Scheduling and, in certain cases, Frequency allocation, Energy harvesting, Transmission time, Resource allocation and Data transmission, as a part of the same area of interest.
His Big data research includes elements of Telecommunications, Telematics and Communications protocol.
His Vehicular ad hoc network research focuses on Vehicle dynamics and how it connects with Wireless sensor network.
His studies in Cellular network integrate themes in fields like Backhaul, Edge computing, Distributed computing and Mobile edge computing.
His most cited work include:
- Internet of vehicles in big data era (206 citations)
- Energy-Harvesting-Aided Spectrum Sensing and Data Transmission in Heterogeneous Cognitive Radio Sensor Network (135 citations)
- Big Data Driven Vehicular Networks (134 citations)
What are the main themes of his work throughout his whole career to date?
Computer network, Wireless, Distributed computing, Vehicular ad hoc network and Resource management are his primary areas of study.
The study incorporates disciplines such as Vehicular communication systems, Throughput and Communication channel in addition to Computer network.
His research in Communication channel intersects with topics in Wireless sensor network, Network utility and Telecommunications link.
His work in Wireless covers topics such as Base station which are related to areas like Real-time computing and Relay.
His Distributed computing research integrates issues from Scheduling, Optimization problem, Edge computing, Server and Reinforcement learning.
The Vehicular ad hoc network study combines topics in areas such as Ad hoc wireless distribution service and Communications protocol.
He most often published in these fields:
- Computer network (56.55%)
- Wireless (23.81%)
- Distributed computing (21.43%)
What were the highlights of his more recent work (between 2019-2021)?
- Computer network (56.55%)
- Distributed computing (21.43%)
- Wireless (23.81%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Computer network, Distributed computing, Wireless, Reinforcement learning and Intelligent transportation system.
In the subject of general Computer network, his work in Cellular network, Telecommunications link and Base station is often linked to Radio access network, thereby combining diverse domains of study.
Haibo Zhou has included themes like Wireless sensor network, Beamforming and Communication channel in his Telecommunications link study.
His Distributed computing study incorporates themes from Edge computing and Cellular communication.
His studies deal with areas such as Quality of service and Smart city as well as Wireless.
His research investigates the connection with Reinforcement learning and areas like Throughput which intersect with concerns in Frame, Link adaptation, Vehicular ad hoc network and Information exchange.
Between 2019 and 2021, his most popular works were:
- Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities (59 citations)
- Characterizing Urban Vehicle-to-Vehicle Communications for Reliable Safety Applications (57 citations)
- Towards Rear-End Collision Avoidance: Adaptive Beaconing for Connected Vehicles (20 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Artificial intelligence
Haibo Zhou mainly investigates Distributed computing, Edge computing, Reinforcement learning, Orchestration and Wireless.
Haibo Zhou regularly ties together related areas like Cellular network in his Edge computing studies.
His Reinforcement learning study integrates concerns from other disciplines, such as Swarm intelligence, Optimization problem and Enhanced Data Rates for GSM Evolution.
His study focuses on the intersection of Wireless and fields such as Wireless sensor network with connections in the field of Communication channel.
In his study, Real-time computing, Beacon, Reliability and Greedy algorithm is inextricably linked to Bandwidth, which falls within the broad field of Communication channel.
He has researched Greedy algorithm in several fields, including Forwarding plane, Wireless ad hoc network, Vehicular ad hoc network and OpenFlow.
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