H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 41 Citations 5,879 181 World Ranking 4342 National Ranking 114

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Algorithm

Wenjie Zhang mostly deals with Data mining, Theoretical computer science, Uncertain data, Information retrieval and Search engine indexing. Wenjie Zhang connects Data mining with Spatial query in his study. Wenjie Zhang interconnects Euclidean space, Representation, Cluster analysis and Subgraph isomorphism problem, Graph in the investigation of issues within Theoretical computer science.

As part of his studies on Uncertain data, he frequently links adjacent subjects like Probabilistic logic. His Information retrieval research includes themes of Ranking and Landmark. His study looks at the relationship between Search engine indexing and topics such as Range query, which overlap with Pruning.

His most cited work include:

  • Ranking queries on uncertain data: a probabilistic threshold approach (256 citations)
  • Robust Subspace Clustering for Multi-View Data by Exploiting Correlation Consensus (190 citations)
  • Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval (147 citations)

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

His scientific interests lie mostly in Theoretical computer science, Data mining, Graph, Vertex and Computation. His research in Theoretical computer science intersects with topics in Subgraph isomorphism problem, Scalability, Cluster analysis and Power graph analysis. His work deals with themes such as Object, Probabilistic logic, Search engine indexing and Pruning, which intersect with Data mining.

His Object research is multidisciplinary, relying on both Range and k-nearest neighbors algorithm. His Graph study integrates concerns from other disciplines, such as Time complexity, Algorithm and Graph. His studies in Vertex integrate themes in fields like Graph power, Path, Graph database, Level structure and Vertex.

He most often published in these fields:

  • Theoretical computer science (32.26%)
  • Data mining (29.95%)
  • Graph (25.81%)

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

  • Graph (25.81%)
  • Vertex (17.51%)
  • Theoretical computer science (32.26%)

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

His main research concerns Graph, Vertex, Theoretical computer science, Computation and Bipartite graph. His research in the fields of Community search overlaps with other disciplines such as Bounded function, Event, Component and Point. Wenjie Zhang has researched Vertex in several fields, including Path, Triangle listing and Social network.

His Theoretical computer science study combines topics from a wide range of disciplines, such as Scalability, Graph and Pruning. His work carried out in the field of Computation brings together such families of science as Discrete mathematics, Time complexity, Core and Vertex. His Quadtree research is multidisciplinary, incorporating elements of Data mining and Pattern matching.

Between 2019 and 2021, his most popular works were:

  • Approximate Nearest Neighbor Search on High Dimensional Data — Experiments, Analyses, and Improvement (63 citations)
  • A survey of community search over big graphs (48 citations)
  • Effective and efficient community search over large heterogeneous information networks (18 citations)

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

  • Artificial intelligence
  • Machine learning
  • Algorithm

Wenjie Zhang mainly focuses on Graph, Computation, Vertex, Theoretical computer science and Community search. His Graph research is multidisciplinary, incorporating perspectives in Social media, Thesaurus and Data science. The various areas that Wenjie Zhang examines in his Computation study include Core, Combinatorics and Vertex.

In his study, Algorithm is inextricably linked to Graph, which falls within the broad field of Core. Wenjie Zhang integrates several fields in his works, including Theoretical computer science and Matrix decomposition. His research integrates issues of Information retrieval and Knowledge graph in his study of Community search.

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

Ranking queries on uncertain data: a probabilistic threshold approach

Ming Hua;Jian Pei;Wenjie Zhang;Xuemin Lin.
international conference on management of data (2008)

335 Citations

Unsupervised Metric Fusion Over Multiview Data by Graph Random Walk-Based Cross-View Diffusion

Yang Wang;Wenjie Zhang;Lin Wu;Xuemin Lin.
IEEE Transactions on Neural Networks (2017)

273 Citations

Robust Subspace Clustering for Multi-View Data by Exploiting Correlation Consensus

Yang Wang;Xuemin Lin;Lin Wu;Wenjie Zhang.
IEEE Transactions on Image Processing (2015)

191 Citations

Probabilistic skyline operator over sliding windows

Wenjie Zhang;Xuemin Lin;Ying Zhang;Wei Wang.
Information Systems (2013)

160 Citations

Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search

Chengyuan Zhang;Ying Zhang;Wenjie Zhang;Xuemin Lin.
IEEE Transactions on Knowledge and Data Engineering (2016)

157 Citations

Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval

Yang Wang;Xuemin Lin;Lin Wu;Wenjie Zhang.
IEEE Transactions on Image Processing (2017)

147 Citations

Probabilistic Skyline Operator over Sliding Windows

Wenjie Zhang;Xuemin Lin;Ying Zhang;Wei Wang.
international conference on data engineering (2009)

142 Citations

Probabilistic Reverse Nearest Neighbor Queries on Uncertain Data

M.A. Cheema;Xuemin Lin;Wei Wang;Wenjie Zhang.
IEEE Transactions on Knowledge and Data Engineering (2010)

134 Citations

Efficient Subgraph Matching by Postponing Cartesian Products

Fei Bi;Lijun Chang;Xuemin Lin;Lu Qin.
international conference on management of data (2016)

131 Citations

Approximate Nearest Neighbor Search on High Dimensional Data — Experiments, Analyses, and Improvement

Wen Li;Ying Zhang;Yifang Sun;Wei Wang.
IEEE Transactions on Knowledge and Data Engineering (2020)

122 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 Wenjie Zhang

Xuemin Lin

Xuemin Lin

UNSW Sydney

Publications: 47

Lei Chen

Lei Chen

Hong Kong University of Science and Technology

Publications: 43

Jeffrey Xu Yu

Jeffrey Xu Yu

Chinese University of Hong Kong

Publications: 30

Reynold Cheng

Reynold Cheng

University of Hong Kong

Publications: 26

David Taniar

David Taniar

Monash University

Publications: 24

Gao Cong

Gao Cong

Nanyang Technological University

Publications: 24

Lu Qin

Lu Qin

University of Technology Sydney

Publications: 24

Ge Yu

Ge Yu

Northeastern University

Publications: 23

Ying Zhang

Ying Zhang

University of Technology Sydney

Publications: 19

Takahiro Hara

Takahiro Hara

Osaka University

Publications: 18

Man Lung Yiu

Man Lung Yiu

Hong Kong Polytechnic University

Publications: 18

Christian S. Jensen

Christian S. Jensen

Aalborg University

Publications: 18

Jian Pei

Jian Pei

Simon Fraser University

Publications: 18

Jianliang Xu

Jianliang Xu

Hong Kong Baptist University

Publications: 16

Hans-Peter Kriegel

Hans-Peter Kriegel

Ludwig-Maximilians-Universität München

Publications: 15

Something went wrong. Please try again later.