What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- The Internet
His primary areas of study are Computer network, Wireless sensor network, Key distribution in wireless sensor networks, Energy consumption and Distributed computing.
His Computer network research incorporates elements of Wireless, Real-time computing and Efficient energy use.
His study in Wireless sensor network is interdisciplinary in nature, drawing from both Computer security, Reliability, Node and Cloud computing.
His work on Mobile wireless sensor network as part of general Key distribution in wireless sensor networks research is often related to Rate regulation, thus linking different fields of science.
He has included themes like Identification, Information and Computer Science, Algorithm, Algorithm design and Sensor node in his Energy consumption study.
His Distributed computing research incorporates themes from Scalability, Quality of service, Dynamic Source Routing and Scheduling, Job shop scheduling.
His most cited work include:
- Review: A survey on coverage and connectivity issues in wireless sensor networks (389 citations)
- Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges (286 citations)
- Green Internet of Things for Smart World (243 citations)
What are the main themes of his work throughout his whole career to date?
Lei Shu mainly focuses on Computer network, Wireless sensor network, Distributed computing, Real-time computing and Key distribution in wireless sensor networks.
His Computer network research is multidisciplinary, incorporating elements of Wireless and Wireless network.
Lei Shu interconnects Energy consumption, Sensor node, Node, Algorithm and Efficient energy use in the investigation of issues within Wireless sensor network.
He has included themes like Scheduling and Cloud computing in his Distributed computing study.
Lei Shu does research in Key distribution in wireless sensor networks, focusing on Mobile wireless sensor network specifically.
His work on Multipath routing expands to the thematically related Geographic routing.
He most often published in these fields:
- Computer network (39.90%)
- Wireless sensor network (38.44%)
- Distributed computing (17.75%)
What were the highlights of his more recent work (between 2018-2021)?
- Wireless sensor network (38.44%)
- Artificial intelligence (11.07%)
- Computer network (39.90%)
In recent papers he was focusing on the following fields of study:
Wireless sensor network, Artificial intelligence, Computer network, Distributed computing and Cloud computing are his primary areas of study.
His Wireless sensor network research incorporates themes from Wireless, Optimal deployment, Boundary, Optimization problem and Big data.
His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, Task, Computer vision and Natural language processing.
Lei Shu studies Computer network, namely Network packet.
His Distributed computing study combines topics in areas such as Scheduling and Software deployment.
Lei Shu has researched Cloud computing in several fields, including Quality of service, Real-time computing, Data science and Software-defined networking.
Between 2018 and 2021, his most popular works were:
- BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis (137 citations)
- Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey (69 citations)
- Towards Smart Radio Environment for Wireless Communications via Intelligent Reflecting Surfaces: A Comprehensive Survey (47 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- The Internet
Lei Shu spends much of his time researching Computer network, Wireless sensor network, Wireless, Cloud computing and Algorithm.
The Computer network study combines topics in areas such as Transmission and Volume.
His work carried out in the field of Wireless sensor network brings together such families of science as Sleep scheduling, Stability, Denial-of-service attack, Markov chain and Job shop scheduling.
His Wireless research integrates issues from Optimization problem and Energy supply.
His studies deal with areas such as Network architecture, Data modeling, Real-time computing, The Internet and Vehicular ad hoc network as well as Cloud computing.
His work in Algorithm addresses issues such as Node, which are connected to fields such as Overhead, Energy consumption, Ranging and Time of arrival.
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