D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 34 Citations 4,015 131 World Ranking 6244 National Ranking 267

Overview

What is he best known for?

The fields of study he is best known for:

  • Software
  • Operating system
  • Programming language

Ying Zou mostly deals with Data mining, Software, Software quality, Software engineering and Software metric. His research in Data mining intersects with topics in Machine learning, Random forest, Artificial intelligence and Regression testing. As part of his studies on Software, Ying Zou frequently links adjacent subjects like Code.

His studies deal with areas such as Software bug and Software system as well as Software quality. His multidisciplinary approach integrates Software engineering and Empirical research in his work. His biological study spans a wide range of topics, including Rank and Set.

His most cited work include:

  • Methods for Generating Auxiliary Data Operations for a Role Based Personalized Business User Workplace (149 citations)
  • Cross-project defect prediction using a connectivity-based unsupervised classifier (123 citations)
  • Spotting working code examples (104 citations)

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

His primary scientific interests are in World Wide Web, Software engineering, Web service, Empirical research and Software. His research integrates issues of Service delivery framework and Differentiated service in his study of World Wide Web. His work carried out in the field of Software engineering brings together such families of science as Artifact-centric business process model, Business process modeling, Business rule, Source code and Software quality.

His Software research includes themes of Rank, Data mining and Code. His Data mining study combines topics from a wide range of disciplines, such as Software metric, Software regression, Software performance testing, Artificial intelligence and Machine learning. His work in Code addresses issues such as Database, which are connected to fields such as Set and Quality.

He most often published in these fields:

  • World Wide Web (27.67%)
  • Software engineering (24.53%)
  • Web service (22.64%)

What were the highlights of his more recent work (between 2016-2021)?

  • Empirical research (18.87%)
  • World Wide Web (27.67%)
  • Android (6.92%)

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

Empirical research, World Wide Web, Android, Code and Software are his primary areas of study. His World Wide Web research includes elements of Thread, Documentation and Stack overflow. In Code, he works on issues like Information retrieval, which are connected to Rank, Source code and Domain knowledge.

Ying Zou studies Software, namely Software metric. His work focuses on many connections between Process and other disciplines, such as Software system, that overlap with his field of interest in Database. His study looks at the relationship between Software development and fields such as Application programming interface, as well as how they intersect with chemical problems.

Between 2016 and 2021, his most popular works were:

  • Learning to rank code examples for code search engines (44 citations)
  • The Use of Summation to Aggregate Software Metrics Hinders the Performance of Defect Prediction Models (43 citations)
  • Towards just-in-time suggestions for log changes (39 citations)

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

  • Software
  • Operating system
  • Programming language

His scientific interests lie mostly in Empirical research, Android, Software, World Wide Web and Source code. In the subject of general Software, his work in Cyclomatic complexity is often linked to Order and Set, thereby combining diverse domains of study. His World Wide Web research incorporates themes from Thread, Stack overflow and Knowledge engineering.

His work deals with themes such as Learning to rank, Information retrieval, Search engine, Database and Code, which intersect with Source code. The concepts of his Database study are interwoven with issues in Software system and Domain knowledge. His Software development research focuses on subjects like Application programming interface, which are linked to Data mining.

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.

Best Publications

Methods for Generating Auxiliary Data Operations for a Role Based Personalized Business User Workplace

Jennifer Hawkins;Ross McKegney;Tack Tong;Qi Zhang.
(2006)

198 Citations

Do faster releases improve software quality?: an empirical case study of Mozilla Firefox

Foutse Khomh;Tejinder Dhaliwal;Ying Zou;Bram Adams.
mining software repositories (2012)

173 Citations

An empirical study on inconsistent changes to code clones at the release level

Nicolas Bettenburg;Weiyi Shang;Walid M. Ibrahim;Bram Adams.
Science of Computer Programming (2012)

154 Citations

An Empirical Study on Inconsistent Changes to Code Clones at Release Level

Nicolas Bettenburg;Weyi Shang;Walid Ibrahim;Bram Adams.
working conference on reverse engineering (2009)

151 Citations

Cross-project defect prediction using a connectivity-based unsupervised classifier

Feng Zhang;Quan Zheng;Ying Zou;Ahmed E. Hassan.
international conference on software engineering (2016)

141 Citations

Towards building a universal defect prediction model

Feng Zhang;Audris Mockus;Iman Keivanloo;Ying Zou.
mining software repositories (2014)

140 Citations

Dynamically configuring a role-based collaborative space

Ying Hubbard Mark W Mckegney R.
(2005)

127 Citations

Spotting working code examples

Iman Keivanloo;Juergen Rilling;Ying Zou.
international conference on software engineering (2014)

125 Citations

Studying the fix-time for bugs in large open source projects

Lionel Marks;Ying Zou;Ahmed E. Hassan.
predictive models in software engineering (2011)

120 Citations

Mining Performance Regression Testing Repositories for Automated Performance Analysis

King Chun Foo;Zhen Ming Jiang;Bram Adams;Ahmed E. Hassan.
international conference on quality software (2010)

103 Citations

Best Scientists Citing Ying Zou

Ahmed E. Hassan

Ahmed E. Hassan

Queen's University

Publications: 56

Chanchal K. Roy

Chanchal K. Roy

University of Saskatchewan

Publications: 56

David Lo

David Lo

Singapore Management University

Publications: 42

Foutse Khomh

Foutse Khomh

Polytechnique Montréal

Publications: 42

Bram Adams

Bram Adams

Queen's University

Publications: 37

Xin Xia

Xin Xia

Monash University

Publications: 33

Thomas R. Gruber

Thomas R. Gruber

Apple (United States)

Publications: 31

Mario Piattini

Mario Piattini

University of Castilla-La Mancha

Publications: 30

Yann-Gaël Guéhéneuc

Yann-Gaël Guéhéneuc

Concordia University

Publications: 17

Emad Shihab

Emad Shihab

Concordia University

Publications: 17

Fabio Palomba

Fabio Palomba

University of Salerno

Publications: 17

Kostas Kontogiannis

Kostas Kontogiannis

University of Western Ontario

Publications: 16

Kenichi Matsumoto

Kenichi Matsumoto

Nara Institute of Science and Technology

Publications: 16

Hongyu Zhang

Hongyu Zhang

University of Newcastle Australia

Publications: 16

Jerome R. Bellegarda

Jerome R. Bellegarda

Apple (United States)

Publications: 16

Xiao-Yuan Jing

Xiao-Yuan Jing

Wuhan University

Publications: 16

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

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