What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- The Internet
His primary scientific interests are in Wireless sensor network, Wireless, Computer network, Real-time computing and Distributed computing.
His research in Wireless sensor network intersects with topics in Energy harvesting, Synchronization, Communication complexity, Efficient energy use and Integer programming.
Peng Cheng interconnects Control, Actuator and Power control in the investigation of issues within Wireless.
The Cellular network and Network planning and design research Peng Cheng does as part of his general Computer network study is frequently linked to other disciplines of science, such as Android and Wireless signal strength, therefore creating a link between diverse domains of science.
His Real-time computing study combines topics in areas such as Particle filter, Scheduling, Electronic engineering and Fidelity.
His Distributed computing research incorporates elements of Network topology, Protocol, Nash equilibrium, Dissemination and Cyber-physical system.
His most cited work include:
- Optimal DoS Attack Scheduling in Wireless Networked Control System (320 citations)
- Optimal Denial-of-Service Attack Scheduling With Energy Constraint (267 citations)
- Distributed Collaborative Control for Industrial Automation With Wireless Sensor and Actuator Networks (232 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Wireless sensor network, Computer network, Real-time computing, Wireless and Artificial intelligence.
Within one scientific family, Peng Cheng focuses on topics pertaining to Distributed computing under Wireless sensor network, and may sometimes address concerns connected to Node and Convergence.
His Computer network research incorporates themes from Wireless network and Transmission.
His Real-time computing research focuses on Scheduling and how it connects with Mathematical optimization.
Peng Cheng interconnects Communication channel and Network packet in the investigation of issues within Wireless.
His Artificial intelligence study deals with Machine learning intersecting with Crowdsourcing.
He most often published in these fields:
- Wireless sensor network (16.40%)
- Computer network (16.14%)
- Real-time computing (15.08%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (13.23%)
- Machine learning (8.47%)
- Edge device (2.65%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Machine learning, Edge device, Artificial neural network and Distributed computing.
His Artificial intelligence research is multidisciplinary, incorporating elements of Crowdsourcing, Communication channel, Approximation algorithm and Pattern recognition.
As a part of the same scientific study, Peng Cheng usually deals with the Communication channel, concentrating on Noma and frequently concerns with Wireless.
He has included themes like Convergence, Vehicle platooning and Packet loss in his Wireless study.
Peng Cheng works mostly in the field of Artificial neural network, limiting it down to topics relating to Communications system and, in certain cases, Channel state information and Algorithm, as a part of the same area of interest.
His work in Distributed computing covers topics such as Asynchronous communication which are related to areas like SIMPLE, Energy consumption and Least slack time scheduling.
Between 2019 and 2021, his most popular works were:
- Analysis of Moving Target Defense Against False Data Injection Attacks on Power Grid (16 citations)
- A review of recent literature on icing phenomena: Transport mechanisms, their modulations and controls (10 citations)
- A review of recent literature on icing phenomena: Transport mechanisms, their modulations and controls (10 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- The Internet
Peng Cheng mostly deals with Artificial intelligence, Information privacy, Edge device, Machine learning and Wireless network.
In the field of Artificial intelligence, his study on Autoencoder overlaps with subjects such as Block.
His Machine learning research is multidisciplinary, incorporating perspectives in Covariance and Communication channel.
His Wireless network research is multidisciplinary, relying on both Kernel, Network dynamics, Mobile computing and Reinforcement learning.
In his papers, Peng Cheng integrates diverse fields, such as Context, Wireless sensor network and Big data.
Peng Cheng performs integrative Utility maximization and Computer network research in his work.
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