D-Index & Metrics Best Publications
Computer Science
China
2023

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 81 Citations 20,885 485 World Ranking 603 National Ranking 50

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in China Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Programming language

Data mining, Theoretical computer science, Graph, Null graph and Graph are his primary areas of study. Jeffrey Xu Yu interconnects Set and Joins in the investigation of issues within Data mining. The Theoretical computer science study combines topics in areas such as Graph partition and Algorithm, Algorithm design, Computation, Search algorithm.

The concepts of his Graph study are interwoven with issues in Time complexity and Reachability. His research in Null graph focuses on subjects like Distance-hereditary graph, which are connected to Complement graph and Block graph. His Graph study combines topics in areas such as RDF and Natural language, Artificial intelligence.

His most cited work include:

  • Graph clustering based on structural/attribute similarities (661 citations)
  • Efficient similarity joins for near duplicate detection (447 citations)
  • Holistic twig joins on indexed XML documents (273 citations)

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

Jeffrey Xu Yu focuses on Theoretical computer science, Data mining, Graph, Information retrieval and Graph. His Theoretical computer science research includes elements of Graph database, Graph theory, Clique-width and Null graph. His Null graph research is multidisciplinary, relying on both Complement graph, Strength of a graph and Distance-hereditary graph.

His study in Data mining is interdisciplinary in nature, drawing from both Set and Cluster analysis, Artificial intelligence. He usually deals with Graph and limits it to topics linked to Directed graph and Directed acyclic graph. His Information retrieval research is multidisciplinary, incorporating perspectives in XML, Efficient XML Interchange, XML database and Database.

He most often published in these fields:

  • Theoretical computer science (32.24%)
  • Data mining (27.22%)
  • Graph (24.13%)

What were the highlights of his more recent work (between 2016-2021)?

  • Theoretical computer science (32.24%)
  • Graph (24.13%)
  • Vertex (7.72%)

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

His primary scientific interests are in Theoretical computer science, Graph, Vertex, Graph and Artificial intelligence. His Theoretical computer science research incorporates elements of Social network, Approximation algorithm, Heuristics, Speedup and Skyline. His Heuristics study incorporates themes from Clique and Data mining.

Jeffrey Xu Yu combines subjects such as Time complexity, Graph theory, Computation and Scalability with his study of Graph. Jeffrey Xu Yu has researched Graph in several fields, including Random walk and RDF. Jeffrey Xu Yu has included themes like Pattern recognition and Natural language processing in his Artificial intelligence study.

Between 2016 and 2021, his most popular works were:

  • Answering Natural Language Questions by Subgraph Matching over Knowledge Graphs (86 citations)
  • Most Influential Community Search over Large Social Networks (53 citations)
  • Question answering over knowledge graphs: question understanding via template decomposition (47 citations)

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

  • Artificial intelligence
  • Operating system
  • Programming language

Jeffrey Xu Yu mainly focuses on Graph, Theoretical computer science, Graph, Social network and Vertex. Many of his research projects under Graph are closely connected to Bounded function with Bounded function, tying the diverse disciplines of science together. His Theoretical computer science research is multidisciplinary, incorporating elements of Time complexity, Scalability and Directed graph.

His Graph research integrates issues from Clique-width, RDF, Artificial intelligence and Natural language processing. His Approximation algorithm research focuses on subjects like Heuristics, which are linked to Data mining. His studies in Data mining integrate themes in fields like Recommender system and Benchmarking.

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

Graph clustering based on structural/attribute similarities

Yang Zhou;Hong Cheng;Jeffrey Xu Yu.
very large data bases (2009)

980 Citations

Efficient similarity joins for near duplicate detection

Chuan Xiao;Wei Wang;Xuemin Lin;Jeffrey Xu Yu.
the web conference (2008)

858 Citations

Efficient similarity joins for near-duplicate detection

Chuan Xiao;Wei Wang;Xuemin Lin;Jeffrey Xu Yu.
ACM Transactions on Database Systems (2011)

856 Citations

Taming verification hardness: an efficient algorithm for testing subgraph isomorphism

Haichuan Shang;Ying Zhang;Xuemin Lin;Jeffrey Xu Yu.
very large data bases (2008)

447 Citations

Holistic twig joins on indexed XML documents

Haifeng Jiang;Wei Wang;Hongjun Lu;Jeffrey Xu Yu.
very large data bases (2003)

438 Citations

Efficient computation of the skyline cube

Yidong Yuan;Xuemin Lin;Qing Liu;Wei Wang.
very large data bases (2005)

421 Citations

Querying k-truss community in large and dynamic graphs

Xin Huang;Hong Cheng;Lu Qin;Wentao Tian.
international conference on management of data (2014)

337 Citations

Finding time-dependent shortest paths over large graphs

Bolin Ding;Jeffrey Xu Yu;Lu Qin.
extending database technology (2008)

304 Citations

Graph indexing: tree + delta <= graph

Peixiang Zhao;Jeffrey Xu Yu;Philip S. Yu.
very large data bases (2007)

300 Citations

Dual Labeling: Answering Graph Reachability Queries in Constant Time

Haixun Wang;Hao He;Jun Yang;P.S. Yu.
international conference on data engineering (2006)

298 Citations

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Best Scientists Citing Jeffrey Xu Yu

Xuemin Lin

Xuemin Lin

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Wenjie Zhang

Wenjie Zhang

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Philip S. Yu

Philip S. Yu

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Lei Chen

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Xiaofang Zhou

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Jianzhong Li

Jianzhong Li

Harbin Institute of Technology

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Ying Zhang

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Lu Qin

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Jianhua Feng

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Charu C. Aggarwal

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IBM (United States)

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Jian Pei

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James Cheng

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Ge Yu

Ge Yu

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