D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 35 Citations 4,852 161 World Ranking 7718 National Ranking 221

Overview

What is he best known for?

The fields of study Zhenchang Xing is best known for:

  • Programming language
  • Software engineering
  • Software

In the subject of Machine learning, Zhenchang Xing integrates adjacent academic fields such as Interpretability and Convolutional neural network. His Interpretability study frequently links to adjacent areas such as Machine learning. Borrowing concepts from Artificial intelligence, Zhenchang Xing weaves in ideas under Convolutional neural network. His Artificial intelligence study frequently links to related topics such as Embedding. He incorporates Software and Code refactoring in his studies. He undertakes multidisciplinary investigations into Code refactoring and Software engineering in his work. He performs multidisciplinary studies into Software engineering and Component-based software engineering in his work. By researching both Programming language and Java, Zhenchang Xing produces research that crosses academic boundaries. In his work, he performs multidisciplinary research in Java and Application programming interface.

His most cited work include:

  • Measuring Program Comprehension: A Large-Scale Field Study with Professionals (136 citations)
  • API-Evolution Support with Diff-CatchUp (128 citations)
  • What do developers search for on the web? (120 citations)

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

Zhenchang Xing merges Programming language with Application programming interface in his study. Zhenchang Xing undertakes multidisciplinary studies into Artificial intelligence and Human–computer interaction in his work. Zhenchang Xing combines Software and Software construction in his studies. He performs integrative study on Information retrieval and World Wide Web. By researching both World Wide Web and Information retrieval, Zhenchang Xing produces research that crosses academic boundaries. Software engineering and Programming language are two areas of study in which he engages in interdisciplinary research. His study brings together the fields of Code (set theory) and Set (abstract data type). Zhenchang Xing regularly ties together related areas like Set (abstract data type) in his Code (set theory) studies. Zhenchang Xing combines Machine learning and Artificial intelligence in his research.

Zhenchang Xing most often published in these fields:

  • Programming language (72.97%)
  • Artificial intelligence (62.16%)
  • Software (43.24%)

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)

589 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)

207 Citations

API-Evolution Support with Diff-CatchUp

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

175 Citations

What do developers search for on the web

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

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

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

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

150 Citations

Measuring program comprehension: a large-scale field study with professionals

Xin Xia;Lingfeng Bao;David Lo;Zhenchang Xing.
international conference on software engineering (2018)

139 Citations

Refactoring Detection based on UMLDiff Change-Facts Queries

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

139 Citations

Neural-machine-translation-based commit message generation: how far are we?

Zhongxin Liu;Xin Xia;Ahmed E. Hassan;David Lo.
automated software engineering (2018)

119 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)

114 Citations

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