What is he best known for?
The fields of study he is best known for:
- Operating system
- Software
- Software engineering
Jun Han focuses on Software engineering, Software development, Software system, Software and Software architecture.
His Software engineering study combines topics from a wide range of disciplines, such as Web service, Systems engineering, Reference architecture, Software quality and Software construction.
His Web service research includes themes of Service delivery framework, Service design and Database.
His studies deal with areas such as Control engineering, Quality of service and Provisioning as well as Software system.
The Software study combines topics in areas such as Resource and Cloud computing.
His work carried out in the field of Software architecture brings together such families of science as Process management, Design rationale, Knowledge management and Quality management.
His most cited work include:
- A rationale-based architecture model for design traceability and reasoning (212 citations)
- A survey of architecture design rationale (174 citations)
- A comparative analysis of architecture frameworks (102 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Software engineering, Software system, Distributed computing, Software and Service.
Jun Han has researched Software engineering in several fields, including Component-based software engineering, Software development, Software construction, Systems engineering and Software security assurance.
His Software system research is multidisciplinary, incorporating elements of Control engineering and Adaptive system.
As a part of the same scientific family, Jun Han mostly works in the field of Distributed computing, focusing on Adaptation and, on occasion, Context awareness.
His research investigates the connection with Software and areas like Knowledge management which intersect with concerns in Context model.
His Service research incorporates themes from Software as a service, Multitenancy and Web service.
He most often published in these fields:
- Software engineering (32.84%)
- Software system (17.54%)
- Distributed computing (16.04%)
What were the highlights of his more recent work (between 2015-2021)?
- Mobile phone (5.22%)
- Machine learning (4.85%)
- Artificial intelligence (5.22%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Mobile phone, Machine learning, Artificial intelligence, Service and Software engineering.
His Mobile phone research integrates issues from Data mining, Call management and Human–computer interaction.
His Artificial intelligence course of study focuses on Context model and Classification rule and Ontology-based data integration.
Jun Han has included themes like Testbed, Virtualization, Software and Distributed computing in his Service study.
His work on Software system as part of general Software research is frequently linked to Business value, thereby connecting diverse disciplines of science.
Jun Han combines subjects such as Web service, Empirical research, Interface and Software construction with his study of Software engineering.
Between 2015 and 2021, his most popular works were:
- Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior (42 citations)
- RecencyMiner: mining recency-based personalized behavior from contextual smartphone data (32 citations)
- Context-aware access control with imprecise context characterization for cloud-based data resources (28 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Software
- Programming language
His primary areas of study are Mobile phone, Human–computer interaction, Access control, Artificial intelligence and Machine learning.
Segmentation and Personalization is closely connected to Multimedia in his research, which is encompassed under the umbrella topic of Mobile phone.
His Human–computer interaction research incorporates elements of Mobile technology, Test case and Word error rate.
His Access control research is multidisciplinary, incorporating perspectives in Ontology, Knowledge management, Information needs and Process management.
His study in the fields of Ontology language under the domain of Ontology overlaps with other disciplines such as Management information systems.
His work deals with themes such as Virtualization and Service, which intersect with Real-time computing.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
