What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
Ching-Hsien Hsu mainly investigates Cloud computing, Quality of service, Computer network, Server and Mobile device.
Ching-Hsien Hsu interconnects Virtual machine, Recommender system, Distributed computing and Big data in the investigation of issues within Cloud computing.
His research investigates the connection between Distributed computing and topics such as Real-time computing that intersect with problems in Greedy algorithm, Resource and Resource allocation.
His research integrates issues of Collaborative filtering, Data mining, Selection and Mobile QoS in his study of Quality of service.
His studies in Computer network integrate themes in fields like Service quality and Cyber-physical system.
Ching-Hsien Hsu has researched Mobile device in several fields, including Computer security, Enhanced Data Rates for GSM Evolution, Service, Smart city and Radio access network.
His most cited work include:
- Biocloud: Cloud Computing for Biological, Genomics, and Drug Design (225 citations)
- Edge server placement in mobile edge computing (102 citations)
- Optimizing Energy Consumption with Task Consolidation in Clouds (100 citations)
What are the main themes of his work throughout his whole career to date?
Distributed computing, Cloud computing, Computer network, Parallel computing and Scheduling are his primary areas of study.
His research in Distributed computing intersects with topics in Grid computing, Data grid, Scalability and Server.
His biological study spans a wide range of topics, including Virtual machine, Quality of service, Service and Big data.
His study in Quality of service is interdisciplinary in nature, drawing from both Web service, The Internet, Data mining and Mobile QoS.
His study focuses on the intersection of Computer network and fields such as Mobile device with connections in the field of Computer security.
His Scheduling research is multidisciplinary, incorporating perspectives in Symmetric multiprocessor system and Heterogeneous network.
He most often published in these fields:
- Distributed computing (33.88%)
- Cloud computing (26.78%)
- Computer network (14.21%)
What were the highlights of his more recent work (between 2018-2021)?
- Cloud computing (26.78%)
- Artificial intelligence (15.03%)
- Machine learning (7.92%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Cloud computing, Artificial intelligence, Machine learning, Computer security and Distributed computing.
His work carried out in the field of Cloud computing brings together such families of science as Workload, Smart city, Scheduling, Server and Mobile device.
His Server study improves the overall literature in Computer network.
His work in the fields of Deep learning, Artificial neural network and Discriminative model overlaps with other areas such as Colorectal cancer and Clinical trial.
Within one scientific family, he focuses on topics pertaining to Industrial Internet under Computer security, and may sometimes address concerns connected to Public-key cryptography.
His studies link Edge computing with Distributed computing.
Between 2018 and 2021, his most popular works were:
- Edge server placement in mobile edge computing (102 citations)
- An efficient anonymous mutual authentication technique for providing secure communication in mobile cloud computing for smart city applications (36 citations)
- An efficient anonymous mutual authentication technique for providing secure communication in mobile cloud computing for smart city applications (36 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
His primary scientific interests are in Cloud computing, Quality of service, Artificial intelligence, Workload and Mobile device.
His Cloud computing study combines topics from a wide range of disciplines, such as Schedule and Service.
He combines subjects such as Machine learning and Web service with his study of Quality of service.
His Artificial intelligence research integrates issues from Data science and Pattern recognition.
His Workload study integrates concerns from other disciplines, such as Scheduling, Resource allocation and Operations research.
The concepts of his Mobile device study are interwoven with issues in Computation and Smart city.
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