H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 31 Citations 6,643 197 World Ranking 7870 National Ranking 225

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Software
  • Artificial intelligence

His primary areas of investigation include Software engineering, Software architecture, Blockchain, Software and Management science. His Software engineering research is multidisciplinary, incorporating elements of Quality, Systems engineering and Resource-oriented architecture. His Software architecture research is multidisciplinary, incorporating perspectives in Non-functional requirement, Software system, Software design pattern and Software quality.

His Blockchain research incorporates elements of Product traceability, Data management and Thesaurus. His Management science research focuses on Personal software process and how it relates to Software verification and validation, Extreme programming practices and Continuous testing. He works mostly in the field of Cryptography, limiting it down to topics relating to Architecture design and, in certain cases, Distributed computing.

His most cited work include:

  • A Taxonomy of Blockchain-Based Systems for Architecture Design (307 citations)
  • Devops: A Software Architect's Perspective (275 citations)
  • The Blockchain as a Software Connector (261 citations)

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

Liming Zhu mainly focuses on Software engineering, Cloud computing, Distributed computing, Software architecture and Software deployment. His research integrates issues of Software, Software development, Enterprise architecture framework, Systems engineering and Blockchain in his study of Software engineering. The various areas that Liming Zhu examines in his Blockchain study include Scalability and Software design pattern.

His Cloud computing research focuses on subjects like Service, which are linked to Web service. The Software architecture study combines topics in areas such as Architectural pattern and Software quality. His work in the fields of Software deployment, such as Continuous delivery and DevOps, intersects with other areas such as Control reconfiguration and Empirical research.

He most often published in these fields:

  • Software engineering (28.95%)
  • Cloud computing (20.30%)
  • Distributed computing (16.17%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (10.53%)
  • Blockchain (12.78%)
  • Machine learning (5.64%)

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

Liming Zhu spends much of his time researching Artificial intelligence, Blockchain, Machine learning, Deep learning and Software engineering. His Artificial intelligence research integrates issues from Recommender system and Spatial analysis. Blockchain is a subfield of Computer security that Liming Zhu explores.

While the research belongs to areas of Software engineering, he spends his time largely on the problem of Escrow, intersecting his research to questions surrounding Source code. His work carried out in the field of Data integrity brings together such families of science as Client–server model and Distributed computing. His study explores the link between Design pattern and topics such as Cryptocurrency that cross with problems in Software architecture.

Between 2019 and 2021, his most popular works were:

  • Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning (16 citations)
  • Seenomaly: vision-based linting of GUI animation effects against design-don't guidelines (13 citations)
  • Wireframe-based UI Design Search through Image Autoencoder (11 citations)

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

  • Operating system
  • Software
  • Artificial intelligence

His scientific interests lie mostly in Artificial intelligence, Deep learning, Software engineering, Human–computer interaction and World Wide Web. His Artificial intelligence research includes elements of Machine learning and Recommender system. His research investigates the connection between Deep learning and topics such as Android that intersect with problems in Autoencoder, Software feature, Software development and Search engine.

Liming Zhu integrates Software engineering with Asset management in his study. His work in the fields of User experience design overlaps with other areas such as Animation, Design space and Canny edge detector. His World Wide Web research includes themes of Natural language, Leverage and Gesture.

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

Devops: A Software Architect's Perspective

Len Bass;Ingo Weber;Liming Zhu.
(2015)

629 Citations

A Taxonomy of Blockchain-Based Systems for Architecture Design

Xiwei Xu;Ingo Weber;Mark Staples;Liming Zhu.
2017 IEEE International Conference on Software Architecture (ICSA) (2017)

520 Citations

The Blockchain as a Software Connector

Xiwei Xu;Cesare Pautasso;Liming Zhu;Vincent Gramoli.
ieee/ifip international conference on software architecture (2016)

494 Citations

Software quality and agile methods

Ming Huo;J. Verner;Liming Zhu;M.A. Babar.
computer software and applications conference (2004)

304 Citations

Blockchains for Business Process Management - Challenges and Opportunities

Jan Mendling;Ingo Weber;Wil Van Der Aalst;Jan Vom Brocke.
acm transactions on management information systems (2018)

300 Citations

A framework for classifying and comparing software architecture evaluation methods

M.A. Babar;L. Zhu;R. Jeffery.
australian software engineering conference (2004)

289 Citations

Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices

Mojtaba Shahin;Muhammad Ali Babar;Liming Zhu.
IEEE Access (2017)

279 Citations

Blockchain Based Data Integrity Service Framework for IoT Data

Bin Liu;Xiao Liang Yu;Shiping Chen;Xiwei Xu.
international conference on web services (2017)

264 Citations

Tradeoff and Sensitivity Analysis in Software Architecture Evaluation Using Analytic Hierarchy Process

Liming Zhu;Aybüke Aurum;Ian Gorton;Ross Jeffery.
Software Quality Journal (2005)

144 Citations

Evaluating guidelines for reporting empirical software engineering studies

Barbara Kitchenham;Hiyam Al-Khilidar;Muhammed Ali Babar;Mike Berry.
Empirical Software Engineering (2008)

136 Citations

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Best Scientists Citing Liming Zhu

Ingo Weber

Ingo Weber

Technical University of Berlin

Publications: 45

Muhammad Ali Babar

Muhammad Ali Babar

University of Adelaide

Publications: 41

Jan Mendling

Jan Mendling

Humboldt-Universität zu Berlin

Publications: 19

Ian Gorton

Ian Gorton

Northeastern University

Publications: 13

Mathias Weske

Mathias Weske

Hasso Plattner Institute

Publications: 12

Mario Piattini

Mario Piattini

University of Castilla-La Mancha

Publications: 12

Paris Avgeriou

Paris Avgeriou

University of Groningen

Publications: 12

Marlon Dumas

Marlon Dumas

University of Tartu

Publications: 11

Barbara Kitchenham

Barbara Kitchenham

Keele University

Publications: 11

Jiliang Tang

Jiliang Tang

Michigan State University

Publications: 11

Xiwei Xu

Xiwei Xu

Commonwealth Scientific and Industrial Research Organisation

Publications: 10

Alessandro Garcia

Alessandro Garcia

Pontifical Catholic University of Rio de Janeiro

Publications: 10

Claus Pahl

Claus Pahl

Free University of Bozen-Bolzano

Publications: 10

Len Bass

Len Bass

Carnegie Mellon University

Publications: 9

John Grundy

John Grundy

Monash University

Publications: 9

Per Runeson

Per Runeson

Lund University

Publications: 9

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