What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- Artificial intelligence
His primary areas of study are Computer network, Wireless sensor network, Wireless network, Distributed computing and Wireless ad hoc network.
His Computer network research is multidisciplinary, relying on both Throughput and Cryptography.
His Wireless sensor network research is multidisciplinary, incorporating elements of Key distribution in wireless sensor networks and Real-time computing.
His study looks at the intersection of Wireless network and topics like Mobility model with Node.
His Distributed computing research includes themes of Scheduling, Approximation algorithm, Optimized Link State Routing Protocol and Wireless Routing Protocol.
In most of his Wireless ad hoc network studies, his work intersects topics such as Computer security.
His most cited work include:
- Big Data Meet Green Challenges: Big Data Toward Green Applications (175 citations)
- Optimal dynamic mobility management for PCS networks (172 citations)
- Optimal Load Balancing in Distributed Computer Systems (155 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Computer network, Distributed computing, Wireless sensor network, Wireless network and Real-time computing.
His work focuses on many connections between Computer network and other disciplines, such as Wireless ad hoc network, that overlap with his field of interest in Computer security.
His Distributed computing study combines topics from a wide range of disciplines, such as Routing, Scheduling, Cloud computing and Optimization problem.
His Wireless sensor network study combines topics in areas such as Sensor node, Key distribution in wireless sensor networks, Column generation and Base station.
The study incorporates disciplines such as Communication channel and Mobile computing in addition to Wireless network.
The various areas that Jie Li examines in his Optimized Link State Routing Protocol study include Link-state routing protocol and Wireless Routing Protocol.
He most often published in these fields:
- Computer network (45.84%)
- Distributed computing (25.20%)
- Wireless sensor network (17.43%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (6.17%)
- Distributed computing (25.20%)
- Big data (5.63%)
In recent papers he was focusing on the following fields of study:
Jie Li focuses on Artificial intelligence, Distributed computing, Big data, Erasure code and Real-time computing.
His Distributed computing research is multidisciplinary, incorporating perspectives in Computation offloading and Cloud computing.
He has included themes like Intelligent transportation system, Computational intelligence, Focus and Data science in his Big data study.
Jie Li combines subjects such as Wireless, Wearable computer and Communication channel, Channel data with his study of Real-time computing.
His study in Wireless is interdisciplinary in nature, drawing from both Point cloud, Wireless sensor network and Encoding.
His research integrates issues of Computer network, Overhead and Enhanced Data Rates for GSM Evolution in his study of Reinforcement learning.
Between 2018 and 2021, his most popular works were:
- Service Chaining for Hybrid Network Function (43 citations)
- A Big Data Enabled Channel Model for 5G Wireless Communication Systems (23 citations)
- Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues (16 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- Artificial intelligence
His main research concerns Server, Computer network, Erasure code, Cloud storage and Private information retrieval.
His Server study integrates concerns from other disciplines, such as Intelligent transportation system and Finite field.
Overhead is the focus of his Computer network research.
His work carried out in the field of Erasure code brings together such families of science as Fault tolerance, Parity-check matrix and Computer engineering.
His Cloud storage research is multidisciplinary, relying on both Process, Key, Star and Reliability.
In his study, which falls under the umbrella issue of Distributed computing, Computer security and Markov chain is strongly linked to Cloud computing.
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