H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 40 Citations 7,522 153 World Ranking 4580 National Ranking 119

Research.com Recognitions

Awards & Achievements

2020 - ACM Distinguished Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Software

Hongyu Zhang focuses on Data mining, Source code, Software bug, Database and Code. His biological study spans a wide range of topics, including Intersection and Software quality. His Software bug study integrates concerns from other disciplines, such as Data quality, Mining software repositories and Measure.

His biological study spans a wide range of topics, including Software system, Software and Cluster analysis. His Code study integrates concerns from other disciplines, such as Search problem and Natural language, Artificial intelligence, Benchmark. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, Information retrieval and XML.

His most cited work include:

  • Where should the bugs be fixed? - more accurate information retrieval-based bug localization based on bug reports (347 citations)
  • Deep API learning (268 citations)
  • ReLink: recovering links between bugs and changes (230 citations)

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

Data mining, Software, Software engineering, Artificial intelligence and Source code are his primary areas of study. His research on Data mining also deals with topics like

  • Software system, which have a strong connection to Software quality,
  • Software bug which connect with Compiler. His Software study combines topics in areas such as Service and Crash.

His Software engineering study combines topics from a wide range of disciplines, such as Programming language, Debugging and XML. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Natural language processing. His study in Source code is interdisciplinary in nature, drawing from both Software regression, Database and Code.

He most often published in these fields:

  • Data mining (22.39%)
  • Software (18.41%)
  • Software engineering (17.91%)

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

  • Artificial intelligence (15.42%)
  • Software (18.41%)
  • Code (11.94%)

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

Hongyu Zhang mainly investigates Artificial intelligence, Software, Code, Deep learning and Data mining. His study in the field of Software system is also linked to topics like Work. Hongyu Zhang has researched Software system in several fields, including Software bug, Performance prediction, Speedup and Task.

His studies deal with areas such as Java, Artificial neural network, Set and Natural language as well as Code. The various areas that he examines in his Natural language study include Semantics and Source code. His work in the fields of Data mining, such as Anomaly detection, overlaps with other areas such as Input reduction.

Between 2018 and 2021, his most popular works were:

  • A novel neural source code representation based on abstract syntax tree (87 citations)
  • Robust log-based anomaly detection on unstable log data (44 citations)
  • On the Multiple Sources and Privacy Preservation Issues for Heterogeneous Defect Prediction (36 citations)

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

  • Artificial intelligence
  • Software
  • Programming language

His main research concerns Artificial intelligence, Artificial neural network, Software, Empirical research and Data mining. His Artificial intelligence study frequently draws connections to adjacent fields such as Code. His Code study incorporates themes from Source code and Natural language, Natural language processing.

His research in Software intersects with topics in Correctness, Oracle and Obfuscation. His Empirical research research integrates issues from Service system, Incident management and Incident management. His Data mining research incorporates themes from Performance prediction, Baseline and Feedforward neural network.

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

Where should the bugs be fixed? - more accurate information retrieval-based bug localization based on bug reports

Jian Zhou;Hongyu Zhang;David Lo.
international conference on software engineering (2012)

545 Citations

ReLink: recovering links between bugs and changes

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

338 Citations

Dealing with noise in defect prediction

Sunghun Kim;Hongyu Zhang;Rongxin Wu;Liang Gong.
international conference on software engineering (2011)

331 Citations

Deep API learning

Xiaodong Gu;Hongyu Zhang;Dongmei Zhang;Sunghun Kim.
foundations of software engineering (2016)

317 Citations

Formal semantics and verification for feature modeling

Jing Sun;Hongyu Zhang;Yuan Fang;Li Hai Wang.
international conference on engineering of complex computer systems (2005)

202 Citations

Deep code search

Xiaodong Gu;Hongyu Zhang;Sunghun Kim.
international conference on software engineering (2018)

190 Citations

Sample-based software defect prediction with active and semi-supervised learning

Ming Li;Hongyu Zhang;Rongxin Wu;Zhi-Hua Zhou.
automated software engineering (2012)

174 Citations

Mining succinct and high-coverage API usage patterns from source code

Jue Wang;Yingnong Dang;Hongyu Zhang;Kai Chen.
mining software repositories (2013)

169 Citations

Verifying feature models using OWL

Hai H. Wang;Yuan Fang Li;Jing Sun;Hongyu Zhang.
Journal of Web Semantics (2007)

168 Citations

Predicting bug-fixing time: an empirical study of commercial software projects

Hongyu Zhang;Liang Gong;Steve Versteeg.
international conference on software engineering (2013)

166 Citations

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Best Scientists Citing Hongyu Zhang

David Lo

David Lo

Singapore Management University

Publications: 119

Xin Xia

Xin Xia

Monash University

Publications: 82

Tim Menzies

Tim Menzies

North Carolina State University

Publications: 38

Denys Poshyvanyk

Denys Poshyvanyk

William & Mary

Publications: 37

Ahmed E. Hassan

Ahmed E. Hassan

Queen's University

Publications: 36

Lu Zhang

Lu Zhang

Peking University

Publications: 32

Tegawendé F. Bissyandé

Tegawendé F. Bissyandé

University of Luxembourg

Publications: 31

Gabriele Bavota

Gabriele Bavota

Universita della Svizzera Italiana

Publications: 29

Kenichi Matsumoto

Kenichi Matsumoto

Nara Institute of Science and Technology

Publications: 23

Yves Le Traon

Yves Le Traon

University of Luxembourg

Publications: 22

Zhenchang Xing

Zhenchang Xing

Australian National University

Publications: 22

Michele Marchesi

Michele Marchesi

University of Cagliari

Publications: 22

Baowen Xu

Baowen Xu

Nanjing University

Publications: 22

Jacques Klein

Jacques Klein

University of Luxembourg

Publications: 21

Michael R. Lyu

Michael R. Lyu

Chinese University of Hong Kong

Publications: 21

Xiao-Yuan Jing

Xiao-Yuan Jing

Wuhan University

Publications: 20

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