H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 77 Citations 19,631 399 World Ranking 521 National Ranking 41

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.

Top Publications

Graph clustering based on structural/attribute similarities

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

805 Citations

Efficient similarity joins for near-duplicate detection

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

772 Citations

Efficient similarity joins for near duplicate detection

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

772 Citations

Holistic twig joins on indexed XML documents

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

432 Citations

Efficient computation of the skyline cube

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

403 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)

357 Citations

Finding time-dependent shortest paths over large graphs

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

276 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)

275 Citations

Graph indexing: tree + delta <= graph

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

272 Citations

Condensed cube: an effective approach to reducing data cube size

Wei Wang;Jianlin Feng;Hongjun Lu;J.X. Yu.
international conference on data engineering (2002)

268 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.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Jeffrey Xu Yu

Xuemin Lin

Xuemin Lin

UNSW Sydney

Publications: 132

Wenjie Zhang

Wenjie Zhang

UNSW Sydney

Publications: 79

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 78

Lei Chen

Lei Chen

Hong Kong University of Science and Technology

Publications: 72

Xiaofang Zhou

Xiaofang Zhou

Hong Kong University of Science and Technology

Publications: 64

Jianzhong Li

Jianzhong Li

Harbin Institute of Technology

Publications: 60

Ying Zhang

Ying Zhang

University of Technology Sydney

Publications: 58

Lu Qin

Lu Qin

University of Technology Sydney

Publications: 52

Jian Pei

Jian Pei

Simon Fraser University

Publications: 48

Charu C. Aggarwal

Charu C. Aggarwal

IBM (United States)

Publications: 48

Jianhua Feng

Jianhua Feng

Tsinghua University

Publications: 48

Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

Publications: 44

James Cheng

James Cheng

Chinese University of Hong Kong

Publications: 42

Ge Yu

Ge Yu

Northeastern University

Publications: 39

Wei Wang

Wei Wang

University of California, Los Angeles

Publications: 38

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