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 32 Citations 4,288 139 World Ranking 7549 National Ranking 214

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Software
  • Programming language

Zhenchang Xing spends much of his time researching Software maintenance, Software system, Programming language, Artificial intelligence and Software development. His Software maintenance research is multidisciplinary, incorporating perspectives in Graphical user interface, Data mining, Human–computer interaction and Code. Software system is a primary field of his research addressed under Software.

In his research on the topic of Programming language, Object-oriented design and Software design is strongly related with Software engineering. His Artificial intelligence study combines topics in areas such as Machine learning and Natural language processing. As part of the same scientific family, Zhenchang Xing usually focuses on Software development, concentrating on Documentation and intersecting with Application programming interface, Word embedding, Bridging and Program comprehension.

His most cited work include:

  • UMLDiff: an algorithm for object-oriented design differencing (319 citations)
  • API-Evolution Support with Diff-CatchUp (111 citations)
  • Ensemble application of convolutional and recurrent neural networks for multi-label text categorization (101 citations)

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

Zhenchang Xing mostly deals with Software, Artificial intelligence, Information retrieval, Software development and Software engineering. His Software research incorporates themes from Word embedding, Multimedia, World Wide Web, Documentation and Data science. His work carried out in the field of Artificial intelligence brings together such families of science as Domain, Machine learning and Natural language processing.

In Information retrieval, Zhenchang Xing works on issues like Java, which are connected to Application programming interface. His study in Software engineering is interdisciplinary in nature, drawing from both Software system, Software maintenance, Software design and Software evolution. He interconnects Object-oriented programming, Unified Modeling Language, Data mining and Code refactoring in the investigation of issues within Software system.

He most often published in these fields:

  • Software (29.59%)
  • Artificial intelligence (23.08%)
  • Information retrieval (18.34%)

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

  • Information retrieval (18.34%)
  • Artificial intelligence (23.08%)
  • Natural language (9.47%)

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

His main research concerns Information retrieval, Artificial intelligence, Natural language, Human–computer interaction and Deep learning. The concepts of his Information retrieval study are interwoven with issues in Java, Semantics, Task analysis and Source code. His Java research is multidisciplinary, relying on both Plug-in, Software documentation, Software and Recurrent neural network.

His Software study incorporates themes from Documentation and Vulnerability. His biological study spans a wide range of topics, including Machine learning and Malware analysis, Malware. His Natural language study combines topics in areas such as Matching, Programming language, Task and World Wide Web.

Between 2019 and 2021, his most popular works were:

  • Mining Likely Analogical APIs Across Third-Party Libraries via Large-Scale Unsupervised API Semantics Embedding (33 citations)
  • Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning (16 citations)
  • Unblind your apps: predicting natural-language labels for mobile GUI components by deep learning (14 citations)

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

  • Artificial intelligence
  • Software
  • Programming language

Zhenchang Xing mainly investigates Deep learning, Artificial intelligence, Natural language, World Wide Web and Human–computer interaction. His research in Deep learning intersects with topics in Graphical user interface and Information retrieval. His study in Natural language is interdisciplinary in nature, drawing from both Documentation and Application programming interface.

His study connects Software and Documentation. The World Wide Web study which covers Gesture that intersects with Service. Zhenchang Xing interconnects Search engine, Software development, Component and Software feature in the investigation of issues within Human–computer interaction.

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

UMLDiff: an algorithm for object-oriented design differencing

Zhenchang Xing;Eleni Stroulia.
automated software engineering (2005)

564 Citations

Ensemble application of convolutional and recurrent neural networks for multi-label text categorization

Guibin Chen;Deheng Ye;Zhenchang Xing;Jieshan Chen.
international joint conference on neural network (2017)

183 Citations

API-Evolution Support with Diff-CatchUp

Zhenchang Xing;E. Stroulia.
IEEE Transactions on Software Engineering (2007)

156 Citations

Refactoring Practice: How it is and How it Should be Supported - An Eclipse Case Study

Zhenchang Xing;Eleni Stroulia.
international conference on software maintenance (2006)

156 Citations

Refactoring Detection based on UMLDiff Change-Facts Queries

Zhenchang Xing;Eleni Stroulia.
working conference on reverse engineering (2006)

133 Citations

Predicting semantically linkable knowledge in developer online forums via convolutional neural network

Bowen Xu;Deheng Ye;Zhenchang Xing;Xin Xia.
automated software engineering (2016)

122 Citations

What do developers search for on the web

Xin Xia;Xin Xia;Lingfeng Bao;David Lo;Pavneet Singh Kochhar.
Empirical Software Engineering (2017)

108 Citations

Analyzing the evolutionary history of the logical design of object-oriented software

Z. Xing;E. Stroulia.
IEEE Transactions on Software Engineering (2005)

100 Citations

From UI design image to GUI skeleton: a neural machine translator to bootstrap mobile GUI implementation

Chunyang Chen;Ting Su;Guozhu Meng;Zhenchang Xing.
international conference on software engineering (2018)

97 Citations

Feature Location in a Collection of Product Variants

Yinxing Xue;Zhenchang Xing;Stan Jarzabek.
working conference on reverse engineering (2012)

95 Citations

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