What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- Statistics
Anfeng Liu spends much of his time researching Computer network, Wireless sensor network, Real-time computing, Key distribution in wireless sensor networks and Distributed computing.
His work carried out in the field of Computer network brings together such families of science as Energy and Duty cycle.
The concepts of his Wireless sensor network study are interwoven with issues in Network performance, Network security, Reliability and Routing protocol.
Anfeng Liu has researched Key distribution in wireless sensor networks in several fields, including Transmission and Geographic routing, Dynamic Source Routing.
His work in Distributed computing covers topics such as Service which are related to areas like Enhanced Data Rates for GSM Evolution, Client-side and Common value auction.
Anfeng Liu works mostly in the field of Network packet, limiting it down to topics relating to Disjoint sets and, in certain cases, Energy harvesting.
His most cited work include:
- ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks (176 citations)
- Lifetime and Energy Hole Evolution Analysis in Data-Gathering Wireless Sensor Networks (134 citations)
- RMER: Reliable and Energy-Efficient Data Collection for Large-Scale Wireless Sensor Networks (133 citations)
What are the main themes of his work throughout his whole career to date?
Anfeng Liu mostly deals with Computer network, Wireless sensor network, Network packet, Real-time computing and Distributed computing.
His Computer network research integrates issues from Wireless, Duty cycle and Data collection.
His biological study deals with issues like Data transmission, which deal with fields such as Relay.
Network delay is the focus of his Network packet research.
His study in Distributed computing is interdisciplinary in nature, drawing from both Edge computing and Service.
His work deals with themes such as Edge device and Server, which intersect with Edge computing.
He most often published in these fields:
- Computer network (58.43%)
- Wireless sensor network (51.76%)
- Network packet (20.39%)
What were the highlights of his more recent work (between 2019-2021)?
- Wireless sensor network (51.76%)
- Computer network (58.43%)
- Distributed computing (15.69%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Wireless sensor network, Computer network, Distributed computing, Edge computing and Data collection.
His research in Wireless sensor network is mostly focused on Sink.
His Computer network study combines topics in areas such as Disjoint sets and Energy.
His Distributed computing research is multidisciplinary, incorporating perspectives in Scheduling, Computation offloading, State and Robustness.
His research in Edge computing intersects with topics in Computer security, Quality of service and Queue.
The various areas that Anfeng Liu examines in his Network packet study include Routing and Duty cycle.
Between 2019 and 2021, his most popular works were:
- MTES: An Intelligent Trust Evaluation Scheme in Sensor-Cloud-Enabled Industrial Internet of Things (59 citations)
- Design and Analysis of Probing Route to Defense Sink-Hole Attacks for Internet of Things Security (58 citations)
- Big Data Cleaning Based on Mobile Edge Computing in Industrial Sensor-Cloud (56 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- Statistics
The scientist’s investigation covers issues in Computer network, Wireless sensor network, Enhanced Data Rates for GSM Evolution, Edge computing and Distributed computing.
He merges Computer network with Network layer in his research.
His Wireless sensor network research focuses on Sink in particular.
His Sink research is multidisciplinary, relying on both Data aggregator and Network security.
Vulnerability, Node, Column and Sample is closely connected to Data collection in his research, which is encompassed under the umbrella topic of Edge computing.
The Distributed computing study combines topics in areas such as Structure, Reliability and Service.
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.
