H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 54 Citations 8,859 282 World Ranking 2315 National Ranking 230

Research.com Recognitions

Awards & Achievements

2015 - IEEE Fellow For contributions to software architecture and component-based software engineering

2013 - Fellow, The World Academy of Sciences

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 Software, Software engineering, Test case, Software architecture and Data mining. His Software research includes themes of Algorithm and The Internet. His Software engineering study incorporates themes from Java and World Wide Web.

His Test case research is multidisciplinary, incorporating perspectives in Reliability engineering, Regression testing and Fault detection and isolation. Hong Mei has included themes like Software system, Hardware architecture and Component in his Software architecture study. His Data mining research is multidisciplinary, incorporating elements of Consistency, Unified Modeling Language, Correctness and Constraint.

His most cited work include:

  • Personalized QoS Prediction forWeb Services via Collaborative Filtering (335 citations)
  • MAPO: Mining and Recommending API Usage Patterns (318 citations)
  • Towards automatic model synchronization from model transformations (146 citations)

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

Hong Mei mainly focuses on Software engineering, Software, Distributed computing, Software architecture and Data mining. The concepts of his Software engineering study are interwoven with issues in Software system, Component-based software engineering, Software development, Resource-oriented architecture and Middleware. The study incorporates disciplines such as Java, Reliability engineering and Formal specification in addition to Software.

His biological study spans a wide range of topics, including Application server, Scalability, Key, Resource and Cloud computing. His biological study spans a wide range of topics, including Systems engineering, Component and Runtime system. Hong Mei has researched Data mining in several fields, including Feature model, Feature, Consistency, Test case and Constraint.

He most often published in these fields:

  • Software engineering (26.04%)
  • Software (21.60%)
  • Distributed computing (18.05%)

What were the highlights of his more recent work (between 2013-2021)?

  • Software (21.60%)
  • Software engineering (26.04%)
  • Operating system (7.10%)

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

His primary areas of study are Software, Software engineering, Operating system, Cloud computing and Data mining. His study on Software bug is often connected to Perspective as part of broader study in Software. The various areas that he examines in his Software engineering study include Software system, Software development, Software construction and Software automation.

His Cloud computing study integrates concerns from other disciplines, such as Distributed computing, Response time, Cluster analysis, Service provider and Server. Hong Mei combines subjects such as Quality of service, Scalability, Resource allocation and CloudSim with his study of Distributed computing. His Data mining research focuses on Feature and how it connects with Pattern recognition.

Between 2013 and 2021, his most popular works were:

  • Boosting Bug-Report-Oriented Fault Localization with Segmentation and Stack-Trace Analysis (101 citations)
  • A Unified Test Case Prioritization Approach (62 citations)
  • Fixing Recurring Crash Bugs via Analyzing Q&A Sites (T) (59 citations)

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

  • Operating system
  • Software
  • Programming language

His primary scientific interests are in Software, Software bug, Software engineering, Empirical research and Code. As a part of the same scientific study, Hong Mei usually deals with the Software, concentrating on Source code and frequently concerns with Crash, Bebugging and Software system. His Software bug research includes themes of Debugging, Embedded system and Resource management.

As part of the same scientific family, Hong Mei usually focuses on Software engineering, concentrating on Software artifacts and intersecting with World Wide Web. His World Wide Web course of study focuses on Component and Mashup, Web service and Service. In his study, which falls under the umbrella issue of Data mining, Regression testing is strongly linked to Test.

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

Personalized QoS Prediction forWeb Services via Collaborative Filtering

Lingshuang Shao;Jing Zhang;Yong Wei;Junfeng Zhao.
international conference on web services (2007)

554 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

Towards automatic model synchronization from model transformations

Yingfei Xiong;Dongxi Liu;Zhenjiang Hu;Haiyan Zhao.
automated software engineering (2007)

221 Citations

Inferring Resource Specifications from Natural Language API Documentation

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

203 Citations

An approach to constructing feature models based on requirements clustering

Kun Chen;Wei Zhang;Haiyan Zhao;Hong Mei.
international conference on requirements engineering (2005)

198 Citations

A Propositional Logic-Based Method for Verification of Feature Models

Wei Zhang;Haiyan Zhao;Hong Mei.
international conference on formal engineering methods (2004)

189 Citations

A Runtime Model Based Monitoring Approach for Cloud

Jin Shao;Hao Wei;Qianxiang Wang;Hong Mei.
international conference on cloud computing (2010)

176 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

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

Refactoring android Java code for on-demand computation offloading

Ying Zhang;Gang Huang;Xuanzhe Liu;Wei Zhang.
conference on object-oriented programming systems, languages, and applications (2012)

149 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 Hong Mei

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Lu Zhang

Peking University

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The University of Texas at Dallas

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Michael R. Lyu

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Chinese University of Hong Kong

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University College London

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Tao Xie

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Peking University

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Hongyu Zhang

Hongyu Zhang

University of Newcastle Australia

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W. K. Chan

W. K. Chan

City University of Hong Kong

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Darko Marinov

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University of Illinois at Urbana-Champaign

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Mike Papadakis

University of Luxembourg

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Gunter Saake

Gunter Saake

Otto-von-Guericke University Magdeburg

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Alexander Egyed

Alexander Egyed

Johannes Kepler University of Linz

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