H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 38 Citations 5,822 281 World Ranking 5000 National Ranking 465

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

Guoyin Wang mostly deals with Data mining, Rough set, Artificial intelligence, Reduction and Theoretical computer science. His studies in Data mining integrate themes in fields like Entropy, Algorithm and Cluster analysis. His Rough set study integrates concerns from other disciplines, such as Information system, Set theory and Algebra.

His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Granularity. His work deals with themes such as Equivalence and Set, which intersect with Reduction. His Theoretical computer science research includes themes of Image segmentation, Probability and statistics, Inverse, Normal distribution and Computational cognition.

His most cited work include:

  • Erratum to “Experimental Analyses of the Major Parameters Affecting the Intensity of Outbursts of Coal and Gas” (443 citations)
  • Extension of rough set under incomplete information systems (176 citations)
  • An automatic method to determine the number of clusters using decision-theoretic rough set (153 citations)

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

His primary areas of study are Rough set, Artificial intelligence, Data mining, Algorithm and Fuzzy set. He has included themes like Set, Reduction and Information system in his Rough set study. Guoyin Wang interconnects Machine learning, Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence.

The concepts of his Data mining study are interwoven with issues in Decision rule, Theoretical computer science and Cluster analysis, Fuzzy clustering. His Decision table research extends to Algorithm, which is thematically connected. His Fuzzy set study results in a more complete grasp of Fuzzy logic.

He most often published in these fields:

  • Rough set (43.34%)
  • Artificial intelligence (35.25%)
  • Data mining (31.07%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (35.25%)
  • Algorithm (19.32%)
  • Pattern recognition (11.23%)

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

Artificial intelligence, Algorithm, Pattern recognition, Rough set and Data mining are his primary areas of study. Similarity measure, Measure and Distance measures is closely connected to Machine learning in his research, which is encompassed under the umbrella topic of Artificial intelligence. His Algorithm research is multidisciplinary, relying on both Disjoint sets, Source imaging and Outlier.

His biological study spans a wide range of topics, including Modality, Resting state fMRI, Identity and Biometrics. The study incorporates disciplines such as Theoretical computer science, Fuzzy set, Fuzzy logic, Set and Decision model in addition to Rough set. His research in Data mining intersects with topics in Web service, Information security, Quality of service, Cluster analysis and Factor.

Between 2018 and 2021, his most popular works were:

  • An active three-way clustering method via low-rank matrices for multi-view data (66 citations)
  • A general model of decision-theoretic three-way approximations of fuzzy sets based on a heuristic algorithm (33 citations)
  • A three-way cluster ensemble approach for large-scale data (24 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

Guoyin Wang spends much of his time researching Fuzzy set, Artificial intelligence, Three way, Data mining and Cluster analysis. His Fuzzy set research integrates issues from Disjoint sets, Algorithm, Similarity and Interval. His Artificial intelligence research incorporates themes from Machine learning and Pattern recognition.

Guoyin Wang has researched Data mining in several fields, including Process, Web service, Information security, Quality of service and Factor. In the subject of general Cluster analysis, his work in Consensus clustering and Fuzzy clustering is often linked to Spark, thereby combining diverse domains of study. His Mathematical optimization study integrates concerns from other disciplines, such as Intuitionistic fuzzy and Rough set.

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

Erratum to “Experimental Analyses of the Major Parameters Affecting the Intensity of Outbursts of Coal and Gas”

W. Nie;S. J. Peng;J. Xu;L. R. Liu.
The Scientific World Journal (2014)

692 Citations

Extension of rough set under incomplete information systems

Guoyin Wang.
ieee international conference on fuzzy systems (2002)

261 Citations

An automatic method to determine the number of clusters using decision-theoretic rough set

Hong Yu;Zhanguo Liu;Guoyin Wang.
International Journal of Approximate Reasoning (2014)

201 Citations

Rough reduction in algebra view and information view

Guoyin Wang.
International Journal of Intelligent Systems (2003)

184 Citations

Generic normal cloud model

Guoyin Wang;Guoyin Wang;Changlin Xu;Changlin Xu;Deyi Li.
Information Sciences (2014)

178 Citations

A tree-based incremental overlapping clustering method using the three-way decision theory

Hong Yu;Cong Zhang;Guoyin Wang.
Knowledge Based Systems (2016)

162 Citations

A Decision-Theoretic Rough Set Approach for Dynamic Data Mining

Hongmei Chen;Tianrui Li;Chuan Luo;Shi-Jinn Horng.
IEEE Transactions on Fuzzy Systems (2015)

146 Citations

The T helper type 17/regulatory T cell imbalance in patients with acute Kawasaki disease

S. Jia;C. Li;G. Wang;J. Yang.
Clinical and Experimental Immunology (2010)

141 Citations

A survey on rough set theory and its applications

Qinghua Zhang;Qin Xie;Guoyin Wang.
CAAI Transactions on Intelligence Technology (2016)

140 Citations

A Comparative Study of Algebra Viewpoint and Information Viewpoint in Attribute Reduction

Guoyin Y. Wang;Jun Zhao;Jiujiang An;Yu Wu.
Fundamenta Informaticae (2005)

139 Citations

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Best Scientists Citing Guoyin Wang

Tianrui Li

Tianrui Li

Southwest Jiaotong University

Publications: 79

Yiyu Yao

Yiyu Yao

University of Regina

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Duoqian Miao

Duoqian Miao

Tongji University

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Xibei Yang

Xibei Yang

Jiangsu University

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Hamido Fujita

Hamido Fujita

Association for Computing Machinery

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Dun Liu

Dun Liu

Southwest Jiaotong University

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Witold Pedrycz

Witold Pedrycz

University of Alberta

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Yuhua Qian

Yuhua Qian

Shanxi University

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Jiye Liang

Jiye Liang

Shanxi University

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Jerzy W. Grzymala-Busse

Jerzy W. Grzymala-Busse

University of Kansas

Publications: 21

Qinghua Hu

Qinghua Hu

Tianjin University

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Degang Chen

Degang Chen

North China Electric Power University

Publications: 18

Robert L. Rounthwaite

Robert L. Rounthwaite

Microsoft (United States)

Publications: 18

Yingxu Wang

Yingxu Wang

University of Calgary

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Aboul Ella Hassanien

Aboul Ella Hassanien

Cairo University

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JingTao Yao

JingTao Yao

University of Regina

Publications: 17

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