What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- The Internet
Rong Zheng spends much of his time researching Computer network, Wireless network, Artificial intelligence, Data mining and Computer security.
His Computer network research integrates issues from Wireless ad hoc network, Throughput and Distributed computing.
In his study, Real-time computing is strongly linked to Wireless sensor network, which falls under the umbrella field of Wireless network.
His Artificial intelligence research includes elements of Cognitive radio, Rate of convergence, Machine learning and Pattern recognition.
His Key distribution in wireless sensor networks research focuses on Resource allocation and how it connects with Wireless.
His Network packet study incorporates themes from Power management and Asynchronous communication.
His most cited work include:
- A framework for authorship identification of online messages: Writing-style features and classification techniques (504 citations)
- Asynchronous wakeup for ad hoc networks (421 citations)
- On-demand power management for ad hoc networks (274 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Computer network, Wireless, Distributed computing, Wireless sensor network and Wireless network.
His work investigates the relationship between Computer network and topics such as Transmission that intersect with problems in Cognitive radio.
His Wireless study integrates concerns from other disciplines, such as Transmitter, Quality of service, Resource allocation and Base station.
His Distributed computing study often links to related topics such as Network topology.
The various areas that Rong Zheng examines in his Wireless sensor network study include Key distribution in wireless sensor networks, Real-time computing, Sensor array, Protocol and Artificial intelligence.
His work deals with themes such as Node, Power management and Communication channel, which intersect with Wireless network.
He most often published in these fields:
- Computer network (27.95%)
- Wireless (20.09%)
- Distributed computing (18.78%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (12.66%)
- Real-time computing (15.72%)
- Machine learning (4.80%)
In recent papers he was focusing on the following fields of study:
Rong Zheng mostly deals with Artificial intelligence, Real-time computing, Machine learning, Wireless and Reinforcement learning.
His research in Artificial intelligence focuses on subjects like Computer vision, which are connected to Finger movement and Beamforming.
His biological study spans a wide range of topics, including Ubiquitous computing, Communication channel and Mobile device.
His Wireless study typically links adjacent topics like Wireless sensor network.
His work in Reinforcement learning addresses subjects such as Mobile robot, which are connected to disciplines such as Distributed computing, Motion planning and Approximation algorithm.
His Reliability study deals with the bigger picture of Computer network.
Between 2018 and 2021, his most popular works were:
- Asynchronous Acoustic Localization and Tracking for Mobile Targets (14 citations)
- A survey on acoustic sensing (6 citations)
- Gated branch neural network for mandatory lane changing suggestion at the on-ramps of highway (6 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- The Internet
Rong Zheng spends much of his time researching Real-time computing, Artificial intelligence, Gesture recognition, Computer vision and Default gateway.
He interconnects Sampling, Channel state information, Communication channel, Terminal and Base station in the investigation of issues within Real-time computing.
His Communication channel research incorporates themes from Ubiquitous computing, Pipeline and Signal processing.
His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Algorithm.
His Computer vision research is multidisciplinary, incorporating elements of Angle of arrival, Key, Microphone and Beamforming.
His Default gateway research entails a greater understanding of Computer network.
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