What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Statistics
His scientific interests lie mostly in Computer network, Wireless, Wireless network, Quality of service and Cellular network.
Yu Cheng works in the field of Computer network, namely Resource allocation.
His studies deal with areas such as Key-agreement protocol, Real-time computing, Communication channel and Mobile device as well as Wireless.
His work deals with themes such as Load balancing and Throughput, which intersect with Wireless network.
His work carried out in the field of Quality of service brings together such families of science as Service-oriented architecture, Handover and Call Admission Control.
His Cellular network study combines topics in areas such as Mobile computing, Shared secret, Authentication, Local area network and Big data.
His most cited work include:
- Load balancing for cellular/WLAN integrated networks (153 citations)
- Quality-Driven Auction-Based Incentive Mechanism for Mobile Crowd Sensing (121 citations)
- Minimizing End-to-End Delay: A Novel Routing Metric for Multi-Radio Wireless Mesh Networks (102 citations)
What are the main themes of his work throughout his whole career to date?
Yu Cheng mainly investigates Computer network, Distributed computing, Wireless, Wireless network and Throughput.
His Computer network research includes elements of Wireless ad hoc network and Communication channel.
The various areas that Yu Cheng examines in his Distributed computing study include Mobile computing and Routing protocol.
His research in Wireless intersects with topics in Relay, Energy, Base station, Upper and lower bounds and Local area network.
His research investigates the connection between Wireless network and topics such as Node that intersect with problems in Heterogeneous network.
His Throughput study combines topics from a wide range of disciplines, such as Network performance, Spectrum management, Telecommunications link and Transmission.
He most often published in these fields:
- Computer network (67.07%)
- Distributed computing (31.73%)
- Wireless (31.33%)
What were the highlights of his more recent work (between 2016-2021)?
- Computer network (67.07%)
- Throughput (24.50%)
- Wireless (31.33%)
In recent papers he was focusing on the following fields of study:
Yu Cheng mostly deals with Computer network, Throughput, Wireless, Wireless network and Distributed computing.
His study in Computer network is interdisciplinary in nature, drawing from both Wireless ad hoc network, Communication channel and Physical layer.
His Throughput research incorporates elements of Spectrum management, Network performance, Base station, Optimization problem and Telecommunications link.
His Wireless research is multidisciplinary, incorporating perspectives in Upper and lower bounds, Energy, Energy harvesting and Relay.
The study incorporates disciplines such as Sampling, Scheduling and Deep learning, Artificial intelligence in addition to Wireless network.
He interconnects Edge computing, Computation and Reinforcement learning in the investigation of issues within Distributed computing.
Between 2016 and 2021, his most popular works were:
- Towards Energy-Efficient Wireless Networking in the Big Data Era: A Survey (47 citations)
- Sustainable Cooperative Communication in Wireless Powered Networks With Energy Harvesting Relay (33 citations)
- AMCloud: Toward a Secure Autonomic Mobile Ad Hoc Cloud Computing System (31 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Statistics
Yu Cheng mainly focuses on Computer network, Throughput, Wireless, Distributed computing and Wireless network.
His Computer network research is multidisciplinary, incorporating elements of Utility computing and Communication channel.
He has researched Communication channel in several fields, including Wireless lan and Random access.
The Wireless study combines topics in areas such as Mathematical optimization, Upper and lower bounds and Energy.
Yu Cheng works mostly in the field of Distributed computing, limiting it down to topics relating to Computation and, in certain cases, Deep learning and Wireless ad hoc network, as a part of the same area of interest.
His work often combines Wireless network and Energy consumption studies.
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