What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Telecommunications
Zhaolong Ning mainly focuses on The Internet, Computer network, Server, Distributed computing and Wireless.
His The Internet research incorporates elements of Computer security, Human behavior and Vehicular ad hoc network.
The concepts of his Computer network study are interwoven with issues in Relay and Vulnerability.
His biological study spans a wide range of topics, including Scheduling, Enhanced Data Rates for GSM Evolution, Virtualization and Information leakage.
His research integrates issues of Edge computing, Mobile device and Benchmark in his study of Distributed computing.
His Wireless study integrates concerns from other disciplines, such as Social network, Efficient energy use and Traffic congestion.
His most cited work include:
- Vehicular Social Networks: Enabling Smart Mobility (206 citations)
- Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks (181 citations)
- A Cooperative Quality-Aware Service Access System for Social Internet of Vehicles (153 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, The Internet and Scheduling.
His Computer network research includes elements of Wireless network, Wireless mesh network, Throughput and Relay.
His studies in Distributed computing integrate themes in fields like Energy consumption, Computation offloading, Key distribution in wireless sensor networks, Server and Reinforcement learning.
His Server research incorporates themes from Mobile device and Vehicular ad hoc network.
Zhaolong Ning has included themes like Intelligent transportation system, Latency, Computer security, Upload and Network topology in his The Internet study.
His Scheduling study which covers Optimization problem that intersects with Edge computing.
He most often published in these fields:
- Computer network (52.63%)
- Distributed computing (34.21%)
- Wireless (17.11%)
What were the highlights of his more recent work (between 2019-2021)?
- Computer network (52.63%)
- The Internet (17.11%)
- Reinforcement learning (7.89%)
In recent papers he was focusing on the following fields of study:
Computer network, The Internet, Reinforcement learning, Edge computing and Distributed computing are his primary areas of study.
His Transmission delay study in the realm of Computer network interacts with subjects such as Route planning.
The study incorporates disciplines such as Latency, Intrusion detection system, Internet privacy and Upload in addition to The Internet.
His Reinforcement learning study combines topics from a wide range of disciplines, such as Computer security, Network security, Intelligent transportation system and Anomaly detection.
Zhaolong Ning interconnects Scheduling, Server, Mobile edge computing and Nash equilibrium in the investigation of issues within Edge computing.
His Distributed computing research includes themes of Wireless, Optimization problem, Topology and Telecommunications network.
Between 2019 and 2021, his most popular works were:
- Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System (41 citations)
- When Deep Reinforcement Learning Meets 5G-Enabled Vehicular Networks: A Distributed Offloading Framework for Traffic Big Data (35 citations)
- Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution (27 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Telecommunications
The scientist’s investigation covers issues in Edge computing, Computer network, The Internet, Scheduling and Computation offloading.
His study looks at the relationship between Edge computing and fields such as Nash equilibrium, as well as how they intersect with chemical problems.
The various areas that Zhaolong Ning examines in his Computer network study include Intelligent transportation system, Probabilistic logic, Deep learning, Artificial intelligence and Malware.
His work deals with themes such as Energy consumption, Intrusion detection system, Testbed, Optimization problem and Reinforcement learning, which intersect with The Internet.
His study in Scheduling is interdisciplinary in nature, drawing from both Prognostics, Analytics, Distributed computing and Smart grid.
When carried out as part of a general Wireless research project, his work on Spectrum management is frequently linked to work in Resource management, therefore connecting diverse disciplines of study.
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