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 48 Citations 8,703 152 World Ranking 3150 National Ranking 295

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Algorithm

Rough set, Data mining, Granular computing, Dominance-based rough set approach and Reduct are his primary areas of study. His studies in Rough set integrate themes in fields like Discrete mathematics, Binary relation, Approximation algorithm, Formal concept analysis and Axiom. His Data mining research incorporates elements of Entropy, Feature selection, Artificial intelligence and Reduction.

His studies deal with areas such as Concept learning and Machine learning as well as Artificial intelligence. His study looks at the relationship between Granular computing and fields such as Theoretical computer science, as well as how they intersect with chemical problems. His work carried out in the field of Dominance-based rough set approach brings together such families of science as Algorithm, Decision table and Decision rule.

His most cited work include:

  • Positive approximation: An accelerator for attribute reduction in rough set theory (480 citations)
  • MGRS: A multi-granulation rough set (435 citations)
  • Incomplete Multigranulation Rough Set (252 citations)

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

Yuhua Qian mostly deals with Rough set, Data mining, Artificial intelligence, Granular computing and Dominance-based rough set approach. His Rough set study integrates concerns from other disciplines, such as Fuzzy logic, Entropy and Algorithm. The concepts of his Data mining study are interwoven with issues in Reduction, Fuzzy number, Fuzzy classification, Fuzzy set operations and Feature selection.

His research integrates issues of Concept learning, Machine learning and Pattern recognition in his study of Artificial intelligence. Yuhua Qian focuses mostly in the field of Granular computing, narrowing it down to matters related to Theoretical computer science and, in some cases, Lattice and Discrete mathematics. His Dominance-based rough set approach research includes elements of Ranking, Measure and Binary relation.

He most often published in these fields:

  • Rough set (51.49%)
  • Data mining (50.75%)
  • Artificial intelligence (38.81%)

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

  • Artificial intelligence (38.81%)
  • Rough set (51.49%)
  • Reduction (13.43%)

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

His scientific interests lie mostly in Artificial intelligence, Rough set, Reduction, Pattern recognition and Fuzzy logic. The Artificial intelligence study combines topics in areas such as Bridge and Machine learning. Rough set is a subfield of Data mining that Yuhua Qian tackles.

His Data mining research includes themes of Feature extraction and Scoring algorithm. His work on Reduct as part of general Reduction research is frequently linked to Stationary wavelet transform, thereby connecting diverse disciplines of science. His Fuzzy logic research is multidisciplinary, incorporating perspectives in Algorithm, Redundancy, Monotonic function and Decision model.

Between 2019 and 2021, his most popular works were:

  • Fuzzy Rough Attribute Reduction for Categorical Data (32 citations)
  • Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems (19 citations)
  • Accelerator for supervised neighborhood based attribute reduction (16 citations)

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

  • Artificial intelligence
  • Machine learning
  • Algorithm

The scientist’s investigation covers issues in Rough set, Entropy, Fuzzy logic, Pattern recognition and Artificial intelligence. His research on Rough set concerns the broader Data mining. Within one scientific family, Yuhua Qian focuses on topics pertaining to Feature selection under Entropy, and may sometimes address concerns connected to Scoring algorithm, Feature extraction and Data classification.

His Fuzzy logic research incorporates elements of Majority rule, Decision tree, Decision table, Monotonic function and Equivalence relation. He combines subjects such as Similarity, Variable, Categorical variable and Algorithm with his study of Monotonic function. Yuhua Qian has researched Reduct in several fields, including Relation and Binary relation.

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

Positive approximation: An accelerator for attribute reduction in rough set theory

Yuhua Qian;Jiye Liang;Witold Pedrycz;Chuangyin Dang.
Artificial Intelligence (2010)

650 Citations

MGRS: A multi-granulation rough set

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

624 Citations

Incomplete Multigranulation Rough Set

Yuhua Qian;Jiye Liang;Chuangyin Dang.
systems man and cybernetics (2010)

391 Citations

Multigranulation decision-theoretic rough sets

Yuhua Qian;Hu Zhang;Yanli Sang;Jiye Liang.
International Journal of Approximate Reasoning (2014)

322 Citations

Test-cost-sensitive attribute reduction

Fan Min;Huaping He;Yuhua Qian;William Zhu.
Information Sciences (2011)

305 Citations

A Group Incremental Approach to Feature Selection Applying Rough Set Technique

Jiye Liang;Feng Wang;Chuangyin Dang;Yuhua Qian.
IEEE Transactions on Knowledge and Data Engineering (2014)

265 Citations

Concept learning via granular computing

Jinhai Li;Changlin Mei;Weihua Xu;Yuhua Qian.
Information Sciences (2015)

255 Citations

Three-way cognitive concept learning via multi-granularity

Jinhai Li;Chenchen Huang;Jianjun Qi;Yuhua Qian.
Information Sciences (2017)

242 Citations

Multigranulation rough sets: From partition to covering

Guoping Lin;Guoping Lin;Jiye Liang;Yuhua Qian.
Information Sciences (2013)

237 Citations

Interval ordered information systems

Yuhua Qian;Jiye Liang;Chuangyin Dang.
Computers & Mathematics With Applications (2008)

205 Citations

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Best Scientists Citing Yuhua Qian

Tianrui Li

Tianrui Li

Southwest Jiaotong University

Publications: 94

Xibei Yang

Xibei Yang

Jiangsu University

Publications: 66

Duoqian Miao

Duoqian Miao

Tongji University

Publications: 61

Witold Pedrycz

Witold Pedrycz

University of Alberta

Publications: 58

Hamido Fujita

Hamido Fujita

Association for Computing Machinery

Publications: 50

Dun Liu

Dun Liu

Southwest Jiaotong University

Publications: 49

Guoyin Wang

Guoyin Wang

Chongqing University of Posts and Telecommunications

Publications: 49

Jiye Liang

Jiye Liang

Shanxi University

Publications: 47

Qinghua Hu

Qinghua Hu

Tianjin University

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Degang Chen

Degang Chen

North China Electric Power University

Publications: 44

Yiyu Yao

Yiyu Yao

University of Regina

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Wei-Zhi Wu

Wei-Zhi Wu

Zhejiang Ocean University

Publications: 41

Jianming Zhan

Jianming Zhan

Minzu University of China

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Jingyu Yang

Jingyu Yang

Nanjing University of Science and Technology

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Chuangyin Dang

Chuangyin Dang

City University of Hong Kong

Publications: 17

Xi-Zhao Wang

Xi-Zhao Wang

Tsinghua University

Publications: 13

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