H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 39 Citations 6,501 211 World Ranking 4773 National Ranking 445

Research.com Recognitions

Awards & Achievements

2016 - ACM Distinguished Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Software
  • Programming language

His primary scientific interests are in Distributed computing, Software, Debugging, Software bug and Data mining. His work focuses on many connections between Distributed computing and other disciplines, such as Reachability, that overlap with his field of interest in Software architecture, State and Static analysis. His work deals with themes such as Machine learning, Selection and Crash, which intersect with Software.

His Debugging study combines topics in areas such as Correctness, Bebugging and Fault detection and isolation. His Software bug study combines topics from a wide range of disciplines, such as Software maintenance and World Wide Web. Shing-Chi Cheung has researched Data mining in several fields, including Ubiquitous computing, Middleware and Context model.

His most cited work include:

  • ReLink: recovering links between bugs and changes (230 citations)
  • Characterizing and detecting performance bugs for smartphone applications (183 citations)
  • Workflow View Driven Cross-Organizational Interoperability in a Web Service Environment (123 citations)

What are the main themes of his work throughout his whole career to date?

Shing-Chi Cheung spends much of his time researching Software engineering, Distributed computing, Software, World Wide Web and Web service. His study in Software engineering is interdisciplinary in nature, drawing from both Java and Software design pattern. His Distributed computing research includes elements of Ubiquitous computing, Wireless sensor network, Correctness, Reachability and Software architecture.

The various areas that Shing-Chi Cheung examines in his Ubiquitous computing study include Middleware and Data mining. His study looks at the relationship between Software and topics such as Debugging, which overlap with Crash. His Web service research includes themes of Service, Workflow technology, Workflow and The Internet.

He most often published in these fields:

  • Software engineering (17.47%)
  • Distributed computing (17.47%)
  • Software (12.64%)

What were the highlights of his more recent work (between 2018-2021)?

  • Software engineering (17.47%)
  • Artificial intelligence (6.69%)
  • Software (12.64%)

In recent papers he was focusing on the following fields of study:

Shing-Chi Cheung focuses on Software engineering, Artificial intelligence, Software, Empirical research and Machine learning. His Software engineering research is multidisciplinary, incorporating elements of Software development, Class, Code, Java and Dependency. His Artificial intelligence research is multidisciplinary, relying on both Regular expression and Natural language processing.

His studies in Software integrate themes in fields like Set, Data mining and Benchmark. He conducts interdisciplinary study in the fields of Data mining and Computational semantics through his research. His Software bug research includes elements of Software maintenance, Sequence learning, Software evolution, Software metric and Sequence labeling.

Between 2018 and 2021, his most popular works were:

  • Metamorphic Testing: A New Approach for Generating Next Test Cases. (105 citations)
  • Understanding and Detecting Fragmentation-Induced Compatibility Issues for Android Apps (15 citations)
  • Exposing library API misuses via mutation analysis (10 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Programming language
  • Software

Shing-Chi Cheung mainly investigates Software, Android, Compatibility, Software engineering and Debugging. His Software research is multidisciplinary, incorporating perspectives in Set, Machine learning, Data mining and Artificial intelligence. The Artificial intelligence study combines topics in areas such as Software bug, Software maintenance, Sequence labeling and Software evolution.

His work deals with themes such as Human–computer interaction, Static analysis and Data science, which intersect with Android. He interconnects Class, Dependency, Software debugging and Exploit in the investigation of issues within Software engineering. Shing-Chi Cheung integrates Debugging with Empirical research in his research.

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.

Top Publications

ReLink: recovering links between bugs and changes

Rongxin Wu;Hongyu Zhang;Sunghun Kim;Shing-Chi Cheung.
foundations of software engineering (2011)

338 Citations

Characterizing and detecting performance bugs for smartphone applications

Yepang Liu;Chang Xu;Shing-Chi Cheung.
international conference on software engineering (2014)

255 Citations

Taming coincidental correctness: Coverage refinement with context patterns to improve fault localization

Xinming Wang;S. C. Cheung;W. K. Chan;Zhenyu Zhang.
international conference on software engineering (2009)

183 Citations

Workflow View Driven Cross-Organizational Interoperability in a Web Service Environment

Dickson K. W. Chiu;S. C. Cheung;Sven Till;Kamalakar Karlapalem.
Information Technology & Management (2004)

174 Citations

Inconsistency detection and resolution for context-aware middleware support

Chang Xu;S. C. Cheung.
foundations of software engineering (2005)

166 Citations

Alerts in mobile healthcare applications: requirements and pilot study

E. Kafeza;D.K.W. Chiu;S.C. Cheung;M. Kafeza.
international conference of the ieee engineering in medicine and biology society (2004)

157 Citations

Metamorphic Testing: A New Approach for Generating Next Test Cases.

Tsong Yueh Chen;S. C. Cheung;Siu-Ming Yiu.
arXiv: Software Engineering (2020)

156 Citations

Context constraints for compositional reachability analysis

Shing Chi Cheung;Jeff Kramer.
ACM Transactions on Software Engineering and Methodology (1996)

138 Citations

Checking safety properties using compositional reachability analysis

Shing Chi Cheung;Jeff Kramer.
ACM Transactions on Software Engineering and Methodology (1999)

136 Citations

A Metamorphic Testing Approach for Online Testing of Service-Oriented Software Applications

W.K. Chan;Shing Chi Cheung;Karl R.P.H. Leung.
International Journal of Web Services Research (2007)

136 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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