H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 55 Citations 9,077 178 World Ranking 2132 National Ranking 206

Research.com Recognitions

Awards & Achievements

2016 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Software

Lu Zhang focuses on Artificial intelligence, Machine learning, Software, Test case and Artificial neural network. Lu Zhang usually deals with Machine learning and limits it to topics linked to Test and Maintenance engineering, Correctness, Blocking and Integer programming. His Software study focuses on Software bug in particular.

His Test case study combines topics in areas such as Reliability engineering, Process, Regression testing and Fault detection and isolation. His work investigates the relationship between Reliability engineering and topics such as Test Management Approach that intersect with problems in Code coverage. His biological study spans a wide range of topics, including Empirical research and Data mining.

His most cited work include:

  • An approach to detecting duplicate bug reports using natural language and execution information (433 citations)
  • MAPO: Mining and Recommending API Usage Patterns (318 citations)
  • Searches for electroweak production of charginos, neutralinos, and sleptons decaying to leptons and W, Z, and Higgs bosons in pp collisions at 8 TeV (291 citations)

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

His main research concerns Artificial intelligence, Software, Data mining, Programming language and Test case. His Artificial intelligence research is multidisciplinary, relying on both Machine learning, Set and Natural language processing. His studies in Software integrate themes in fields like Java, Software engineering and Source code.

As a part of the same scientific family, he mostly works in the field of Data mining, focusing on Software development and, on occasion, Software system and Information retrieval. His work is dedicated to discovering how Programming language, Code are connected with Computer engineering and other disciplines. Lu Zhang interconnects Reliability engineering, Debugging and Regression testing in the investigation of issues within Test case.

He most often published in these fields:

  • Artificial intelligence (20.59%)
  • Software (20.17%)
  • Data mining (17.65%)

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

  • Artificial intelligence (20.59%)
  • Programming language (17.23%)
  • Artificial neural network (7.98%)

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

His primary areas of study are Artificial intelligence, Programming language, Artificial neural network, Debugging and Code. He combines subjects such as Machine learning, Natural language processing, Source code, Graph classification and Pattern recognition with his study of Artificial intelligence. As a part of the same scientific study, he usually deals with the Programming language, concentrating on Commit and frequently concerns with Domain.

His Debugging study deals with Data mining intersecting with Range. His work carried out in the field of Software bug brings together such families of science as Software system, Test case and Software testing. The concepts of his Software study are interwoven with issues in Java, Construct and Software engineering.

Between 2018 and 2021, his most popular works were:

  • An Empirical Study of Fault Localization Families and Their Combinations (50 citations)
  • Predictive Mutation Testing (45 citations)
  • Deep Learning Based Code Smell Detection (18 citations)

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

  • Programming language
  • Artificial intelligence
  • Operating system

His scientific interests lie mostly in Debugging, Software, Artificial intelligence, Software system and Test. His Debugging research incorporates elements of Range, Distributed computing, Data mining and Leverage. His Software research includes elements of Correctness and Software engineering.

His study looks at the intersection of Artificial intelligence and topics like Machine learning with Software quality, Software testing and Test suite. His Software system research incorporates elements of Supervised learning, Code coverage, Dimension and Scope. His Test research also works with subjects such as

  • Compiler that connect with fields like Test program and Scalability,
  • Computer engineering which is related to area like Artificial 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.

Top Publications

An approach to detecting duplicate bug reports using natural language and execution information

Xiaoyin Wang;Lu Zhang;Tao Xie;John Anvik.
international conference on software engineering (2008)

630 Citations

Searches for electroweak production of charginos, neutralinos, and sleptons decaying to leptons and W, Z, and Higgs bosons in pp collisions at 8 TeV

V. Khachatryan;A. M. Sirunyan;A. Tumasyan;W. Adam.
European Physical Journal C (2014)

518 Citations

MAPO: Mining and Recommending API Usage Patterns

Hao Zhong;Tao Xie;Lu Zhang;Jian Pei.
european conference on object oriented programming (2009)

378 Citations

Convolutional neural networks over tree structures for programming language processing

Lili Mou;Ge Li;Lu Zhang;Tao Wang.
national conference on artificial intelligence (2016)

321 Citations

SNIAFL: Towards a static noninteractive approach to feature location

Wei Zhao;Lu Zhang;Yin Liu;Jiasu Sun.
ACM Transactions on Software Engineering and Methodology (2006)

289 Citations

Natural Language Inference by Tree-Based Convolution and Heuristic Matching

Lili Mou;Rui Men;Ge Li;Yan Xu.
meeting of the association for computational linguistics (2016)

253 Citations

Inferring Resource Specifications from Natural Language API Documentation

Hao Zhong;Lu Zhang;Tao Xie;Hong Mei.
automated software engineering (2009)

203 Citations

Time-aware test-case prioritization using integer linear programming

Lu Zhang;Shan-Shan Hou;Chao Guo;Tao Xie.
international symposium on software testing and analysis (2009)

175 Citations

Precise condition synthesis for program repair

Yingfei Xiong;Jie Wang;Runfa Yan;Jiachen Zhang.
international conference on software engineering (2017)

173 Citations

Bridging the gap between the total and additional test-case prioritization strategies

Lingming Zhang;Dan Hao;Lu Zhang;Gregg Rothermel.
international conference on software engineering (2013)

166 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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Top Scientists Citing Lu Zhang

David Lo

David Lo

Singapore Management University

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Denys Poshyvanyk

William & Mary

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Tien N. Nguyen

The University of Texas at Dallas

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Tao Xie

Tao Xie

Peking University

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Xin Xia

Xin Xia

Monash University

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Hongyu Zhang

Hongyu Zhang

University of Newcastle Australia

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