What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Statistics
His primary areas of study are Computer network, Vehicular ad hoc network, Telecommunications, Cognitive radio and Transmission.
His Computer network study combines topics in areas such as Wireless, Mobile broadband and Internet access.
His studies deal with areas such as Vehicular automation, Wireless sensor network and Subnetwork as well as Wireless.
His Vehicular ad hoc network research includes themes of Routing, Wireless mesh network and Radio resource management.
His study in the field of Access network is also linked to topics like Vehicle Information and Communication System, Vehicle tracking system, Automotive industry and Cost effectiveness.
His Cognitive radio research is multidisciplinary, relying on both Relay, Information transfer and Beamforming.
His most cited work include:
- Connected Vehicles: Solutions and Challenges (645 citations)
- Internet of vehicles in big data era (206 citations)
- Multi-UAV-Aided Networks: Aerial-Ground Cooperative Vehicular Networking Architecture (170 citations)
What are the main themes of his work throughout his whole career to date?
Nan Cheng spends much of his time researching Computer network, Wireless, Distributed computing, Vehicular ad hoc network and Communication channel.
Nan Cheng has included themes like Transmission and Throughput in his Computer network study.
The Wireless study combines topics in areas such as Relay, Scheduling and Base station.
His study on Distributed computing also encompasses disciplines like
- Computation offloading which is related to area like Mobile edge computing and Energy consumption,
- Quality of service which is related to area like Wireless network.
Nan Cheng has researched Vehicular ad hoc network in several fields, including Network topology and Key.
In the subject of general Communication channel, his work in Cognitive radio is often linked to Access time, thereby combining diverse domains of study.
He most often published in these fields:
- Computer network (48.68%)
- Wireless (18.52%)
- Distributed computing (15.34%)
What were the highlights of his more recent work (between 2020-2021)?
- Distributed computing (15.34%)
- Computer network (48.68%)
- Key (7.94%)
In recent papers he was focusing on the following fields of study:
Distributed computing, Computer network, Key, Real-time computing and Computer security are his primary areas of study.
His Distributed computing research also works with subjects such as
- Energy consumption and related Robustness, Wireless and Task analysis,
- Reinforcement learning, which have a strong connection to Markov decision process and Base station,
- Computation offloading which is related to area like Wireless network, Quality of service, Latency, Dynamic network analysis and Benchmark.
As part of his studies on Computer network, Nan Cheng often connects relevant areas like Statistical classification.
As part of his studies on Key, Nan Cheng frequently links adjacent subjects like Vehicular ad hoc network.
Nan Cheng focuses mostly in the field of Vehicular ad hoc network, narrowing it down to topics relating to Attack model and, in certain cases, Edge computing.
His Security token, Password and Authentication study in the realm of Computer security interacts with subjects such as Intrusion.
Between 2020 and 2021, his most popular works were:
- Towards Rear-End Collision Avoidance: Adaptive Beaconing for Connected Vehicles (20 citations)
- PROTECT: Efficient Password-Based Threshold Single-Sign-On Authentication for Mobile Users against Perpetual Leakage (17 citations)
- Software-Defined Cooperative Data Sharing in Edge Computing Assisted 5G-VANET (17 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Statistics
His main research concerns Server, Distributed computing, Greedy algorithm, Overhead and Computation offloading.
His Server research is multidisciplinary, incorporating elements of Adversary, Password, Single sign-on, Authentication and Mobile computing.
The study incorporates disciplines such as Cellular communication, Vehicular ad hoc network, Dissemination, Edge computing and Mobile broadband in addition to Distributed computing.
His Greedy algorithm research includes elements of Wireless ad hoc network, Cellular network and OpenFlow.
He combines subjects such as Reliability, Communication channel, Real-time computing, Beacon and Bandwidth with his study of Overhead.
In his study, Wireless network is inextricably linked to Quality of service, which falls within the broad field of Computation offloading.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
