D-Index & Metrics Best Publications

D-Index & Metrics

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 76 Citations 20,043 317 World Ranking 550 National Ranking 21

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

Yiyu Yao focuses on Rough set, Data mining, Granular computing, Discrete mathematics and Theoretical computer science. He studies Dominance-based rough set approach which is a part of Rough set. His Data mining study incorporates themes from Bayes estimator, Interpretation and Information retrieval, Relevance.

His Granular computing research incorporates themes from Concept learning, Universe, Granularity and Information processing. Yiyu Yao combines subjects such as Approximation operators and Pure mathematics with his study of Discrete mathematics. The Theoretical computer science study combines topics in areas such as Formal concept analysis, Table, Finite set and Relaxation.

His most cited work include:

  • Relational interpretations of neighborhood operators and rough set approximation operators (795 citations)
  • Constructive and algebraic methods of the theory of rough sets (691 citations)
  • Three-way decisions with probabilistic rough sets (691 citations)

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

Yiyu Yao mainly focuses on Rough set, Data mining, Artificial intelligence, Granular computing and Theoretical computer science. His studies deal with areas such as Discrete mathematics, Probabilistic logic, Set and Algebra as well as Rough set. The study incorporates disciplines such as Object and Information extraction, Information retrieval in addition to Data mining.

His biological study spans a wide range of topics, including Machine learning and Pattern recognition. His research in Granular computing intersects with topics in Granularity, Data science and Information processing. His study in Theoretical computer science is interdisciplinary in nature, drawing from both Formal concept analysis and Algorithm.

He most often published in these fields:

  • Rough set (34.14%)
  • Data mining (25.82%)
  • Artificial intelligence (21.66%)

What were the highlights of his more recent work (between 2014-2021)?

  • Rough set (34.14%)
  • Three way (6.78%)
  • Set (12.69%)

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

His primary scientific interests are in Rough set, Three way, Set, Data mining and Artificial intelligence. His specific area of interest is Rough set, where Yiyu Yao studies Granular computing. He has included themes like Discrete mathematics, Fuzzy set, Decision table, Boundary and Relation in his Set study.

His Data mining study integrates concerns from other disciplines, such as Disjoint sets, Transformation and Reduction. His research investigates the connection between Artificial intelligence and topics such as Set that intersect with problems in Natural language processing. His Theoretical computer science research also works with subjects such as

  • Semantics and related Dominance-based rough set approach,
  • Complete information that intertwine with fields like Table.

Between 2014 and 2021, his most popular works were:

  • Three-Way Decisions and Cognitive Computing (188 citations)
  • A triarchic theory of granular computing (164 citations)
  • Three-way decision and granular computing (153 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

Rough set, Theoretical computer science, Data mining, Set and Three way are his primary areas of study. His Rough set research is multidisciplinary, incorporating elements of Interpretation, Time complexity, Inference and Formal concept analysis, Algebra. Yiyu Yao interconnects Universal set, Feature, Identification, Information processing and Cognitive computing in the investigation of issues within Theoretical computer science.

His research integrates issues of Granularity, Representation, Artificial intelligence and Granular computing in his study of Information processing. His work on Reduct as part of general Data mining study is frequently linked to Merge, bridging the gap between disciplines. His Set research incorporates elements of Discrete mathematics, Disjoint sets, Decision table, Class and Boundary.

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

Relational interpretations of neighborhood operators and rough set approximation operators

Y. Y. Yao.
Information Sciences (1998)

1019 Citations

Constructive and algebraic methods of the theory of rough sets

Y. Y. Yao.
Information Sciences (1998)

856 Citations

Three-way decisions with probabilistic rough sets

Yiyu Yao.
Information Sciences (2010)

783 Citations

Two views of the theory of rough sets in finite universes

Y.Y. Yao.
International Journal of Approximate Reasoning (1996)

666 Citations

MGRS: A multi-granulation rough set

Yuhua Qian;Jiye Liang;Yiyu Yao;Chuangyin Dang.
Information Sciences (2010)

624 Citations

A decision theoretic framework for approximating concepts

Y. Y. Yao;S. K. M. Wong.
International Journal of Human-computer Studies / International Journal of Man-machine Studies (1992)

606 Citations

Generalization of Rough Sets using Modal Logics

Y.Y. Yao;T.Y. Lin.
Intelligent Automation and Soft Computing (1996)

580 Citations

Attribute reduction in decision-theoretic rough set models

Yiyu Yao;Yan Zhao.
Information Sciences (2008)

566 Citations

Information Granulation and Rough Set Approximation

Y. Y. Yao.
International Journal of Intelligent Systems (2001)

565 Citations

Granular Computing: basic issues and possible solutions

Y.Y. Yao.
(2007)

538 Citations

Best Scientists Citing Yiyu Yao

Ning Zhong

Ning Zhong

Maebashi Institute of Technology

Publications: 157

Duoqian Miao

Duoqian Miao

Tongji University

Publications: 115

Wei-Zhi Wu

Wei-Zhi Wu

Zhejiang Ocean University

Publications: 109

Witold Pedrycz

Witold Pedrycz

University of Alberta

Publications: 104

Tianrui Li

Tianrui Li

Southwest Jiaotong University

Publications: 98

Guoyin Wang

Guoyin Wang

Chongqing University of Posts and Telecommunications

Publications: 95

Yuhua Qian

Yuhua Qian

Shanxi University

Publications: 80

Jerzy W. Grzymala-Busse

Jerzy W. Grzymala-Busse

University of Kansas

Publications: 76

JingTao Yao

JingTao Yao

University of Regina

Publications: 73

Yingxu Wang

Yingxu Wang

University of Calgary

Publications: 71

Jiye Liang

Jiye Liang

Shanxi University

Publications: 70

Xibei Yang

Xibei Yang

Jiangsu University

Publications: 69

Degang Chen

Degang Chen

North China Electric Power University

Publications: 59

Dun Liu

Dun Liu

Southwest Jiaotong University

Publications: 58

Qinghua Hu

Qinghua Hu

Tianjin University

Publications: 49

Andrzej Skowron

Andrzej Skowron

University of Warsaw

Publications: 43

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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