D-Index & Metrics Best Publications

Wei-Zhi Wu

Zhejiang Ocean University
China

D-Index & Metrics 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.

Discipline name Citations Publications World Ranking National Ranking

Mathematics D-index 39 Citations 7,671 128 World Ranking 1460 National Ranking 72

Engineering and Technology D-index 39 Citations 7,749 140 World Ranking 3802 National Ranking 563

Overview

What is he best known for?

The fields of study Wei-Zhi Wu is best known for:

Machine learning
Artificial intelligence
Algorithm

His Rough set study is within the categories of Decision table, Dominance-based rough set approach, Reduct and Granular computing. His work in Programming language is not limited to one particular discipline; it also encompasses Set (abstract data type) and Process (computing). His Process (computing) study typically links adjacent topics like Programming language. He connects Artificial intelligence with Dempster–Shafer theory in his study. In his works, Wei-Zhi Wu conducts interdisciplinary research on Dempster–Shafer theory and Artificial intelligence. His study brings together the fields of Decision table and Data mining. Much of his study explores Geometry relationship to Reduction (mathematics). His study in Geometry extends to Reduction (mathematics) with its themes. He incorporates Fuzzy logic and Rough set in his research.

His most cited work include:

Generalized fuzzy rough sets (522 citations)
Constructive and axiomatic approaches of fuzzy approximation operators (431 citations)
Approaches to knowledge reduction based on variable precision rough set model (358 citations)

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

Wei-Zhi Wu studied Reduction (mathematics) and Geometry that intersect with Axiom. His Rough set study focuses on Decision table, Dominance-based rough set approach and Granular computing. Dominance-based rough set approach and Data mining are frequently intertwined in his study. His work in Data mining is not limited to one particular discipline; it also encompasses Decision table. In his work, he performs multidisciplinary research in Granular computing and Rough set. Wei-Zhi Wu integrates Artificial intelligence with Machine learning in his research. In his work, he performs multidisciplinary research in Machine learning and Artificial intelligence. His work often combines Fuzzy logic and Fuzzy set operations studies. Wei-Zhi Wu brings together Fuzzy set operations and Fuzzy logic to produce work in his papers.

Wei-Zhi Wu most often published in these fields:

Artificial intelligence (81.25%)
Rough set (60.00%)
Data mining (42.50%)

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