What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
His primary areas of investigation include Reinforcement learning, The Internet, Data science, Knowledge management and Participatory sensing.
Chi Harold Liu has included themes like Telecommunications network, Blockchain and Leverage in his Reinforcement learning study.
His Leverage study which covers Network packet that intersects with Distributed computing.
While working on this project, Chi Harold Liu studies both The Internet and Conceptual framework.
His Data science research incorporates elements of Context awareness, Variety and Mobile Web.
His Knowledge management research is multidisciplinary, incorporating elements of Computer security and Intelligent sensor.
His most cited work include:
- A Survey on Internet of Things From Industrial Market Perspective (366 citations)
- The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey (291 citations)
- Mobile Cloud Computing: A Survey, State of Art and Future Directions (266 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Efficient energy use, Distributed computing, Computer network, Artificial intelligence and Mobile device.
His Distributed computing research includes themes of Scalability, Service, Data center, Scheduling and Cloud computing.
The various areas that Chi Harold Liu examines in his Computer network study include Wireless and Wireless network.
His studies in Artificial intelligence integrate themes in fields like Data modeling and Machine learning.
His Mobile device research also works with subjects such as
- Mobile computing which is related to area like Multimedia,
- Upload most often made with reference to Android,
- Context awareness that connect with fields like Knowledge management.
His Crowdsourcing research integrates issues from Computer security, Information quality and Data science.
He most often published in these fields:
- Efficient energy use (28.00%)
- Distributed computing (24.00%)
- Computer network (25.00%)
What were the highlights of his more recent work (between 2018-2021)?
- Reinforcement learning (14.00%)
- Distributed computing (24.00%)
- Artificial intelligence (20.00%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Reinforcement learning, Distributed computing, Artificial intelligence, Efficient energy use and Crowdsensing.
He combines subjects such as Blockchain, Mobile device and Distributed database with his study of Reinforcement learning.
The concepts of his Distributed computing study are interwoven with issues in Optimization problem, Shared resource and Scheduling.
His Shared resource study integrates concerns from other disciplines, such as Workload, Dynamic programming, Resource allocation and Cloud computing.
The study incorporates disciplines such as Data modeling and Machine learning in addition to Artificial intelligence.
Efficient energy use overlaps with fields such as Energy consumption and Real-time computing in his research.
Between 2018 and 2021, his most popular works were:
- Blockchain-Enabled Data Collection and Sharing for Industrial IoT With Deep Reinforcement Learning (84 citations)
- Heterogeneous Multi-Task Assignment in Mobile Crowdsensing Using Spatiotemporal Correlation (35 citations)
- Distributed Energy-Efficient Multi-UAV Navigation for Long-Term Communication Coverage by Deep Reinforcement Learning (28 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
Reinforcement learning, Distributed computing, Efficient energy use, Crowdsensing and Task analysis are his primary areas of study.
In his study, Chi Harold Liu carries out multidisciplinary Distributed computing and Incentive research.
His Efficient energy use studies intersect with other disciplines such as Real-time computing, Energy consumption and Convolutional neural network.
Chi Harold Liu interconnects Distributed generation, Motion planning and Base station in the investigation of issues within Real-time computing.
His Convolutional neural network research includes elements of Artificial neural network, Feature extraction, Deep learning and Leverage.
Chi Harold Liu integrates several fields in his works, including Task analysis, Data sharing, Data collection, Distributed database, Blockchain and Computer network.
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