H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 40 Citations 5,869 218 World Ranking 4503 National Ranking 26

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Algorithm
  • Machine learning

Wei-Chang Yeh mostly deals with Mathematical optimization, Reliability, Swarm behaviour, Algorithm and Computational complexity theory. Wei-Chang Yeh has researched Mathematical optimization in several fields, including Redundancy, Sequence and Job shop scheduling. His studies in Swarm behaviour integrate themes in fields like Genetic algorithm, Particle swarm optimization, Multi-swarm optimization and Soft computing.

His study in Algorithm is interdisciplinary in nature, drawing from both Flow and Path. He connects Computational complexity theory with Simple in his study. His Artificial intelligence research focuses on Data mining and how it connects with Wavelet transform.

His most cited work include:

  • Using multi-objective genetic algorithm for partner selection in green supply chain problems (283 citations)
  • Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (254 citations)
  • Solving reliability redundancy allocation problems using an artificial bee colony algorithm (156 citations)

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

Wei-Chang Yeh spends much of his time researching Mathematical optimization, Algorithm, Reliability, Particle swarm optimization and Swarm behaviour. His Mathematical optimization research is multidisciplinary, relying on both Redundancy and Job shop scheduling. His Algorithm research incorporates elements of Node and Reliability theory.

Wei-Chang Yeh has included themes like Flow, Flow network, Computational complexity theory, Correctness and Path in his Reliability study. Wei-Chang Yeh interconnects Video tracking and Evolutionary algorithm, Artificial intelligence in the investigation of issues within Particle swarm optimization. Wei-Chang Yeh focuses mostly in the field of Swarm behaviour, narrowing it down to topics relating to Local search and, in certain cases, Linear programming.

He most often published in these fields:

  • Mathematical optimization (37.31%)
  • Algorithm (34.83%)
  • Reliability (29.85%)

What were the highlights of his more recent work (between 2016-2021)?

  • Algorithm (34.83%)
  • Mathematical optimization (37.31%)
  • Particle swarm optimization (24.38%)

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

Wei-Chang Yeh focuses on Algorithm, Mathematical optimization, Particle swarm optimization, Swarm behaviour and Reliability. His work carried out in the field of Algorithm brings together such families of science as Classifier and Convolution. His Mathematical optimization research includes themes of Fuzzy number, Fuzzy logic and Benchmark.

The Particle swarm optimization study combines topics in areas such as Linear programming, Facility location problem, Artificial intelligence and Pattern recognition. His Swarm behaviour study combines topics from a wide range of disciplines, such as Distributed computing, Assignment problem, Local search, Soft computing and Redundancy. His work deals with themes such as Time complexity, Flow and Data mining, which intersect with Reliability.

Between 2016 and 2021, his most popular works were:

  • A novel boundary swarm optimization method for reliability redundancy allocation problems (21 citations)
  • A honey-bee-mating based algorithm for multilevel image segmentation using Bayesian theorem (21 citations)
  • Enhancing MOEA/D with information feedback models for large-scale many-objective optimization (20 citations)

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

  • Artificial intelligence
  • Algorithm
  • Machine learning

His primary areas of investigation include Mathematical optimization, Swarm behaviour, Algorithm, Redundancy and Reliability. His research ties Computation and Mathematical optimization together. His Swarm behaviour study frequently links to related topics such as Assignment problem.

The various areas that Wei-Chang Yeh examines in his Algorithm study include Segmentation and Image segmentation. The study incorporates disciplines such as Swarm intelligence and Soft computing in addition to Redundancy. While the research belongs to areas of Reliability, Wei-Chang Yeh spends his time largely on the problem of Fast algorithm, intersecting his research to questions surrounding Time complexity.

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

Using multi-objective genetic algorithm for partner selection in green supply chain problems

Wei-Chang Yeh;Mei-Chi Chuang.
Expert Systems With Applications (2011)

451 Citations

Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm

Tsung-Jung Hsieh;Hsiao-Fen Hsiao;Wei-Chang Yeh.
soft computing (2011)

371 Citations

Solving reliability redundancy allocation problems using an artificial bee colony algorithm

Wei-Chang Yeh;Tsung-Jung Hsieh.
Computers & Operations Research (2011)

201 Citations

A two-stage discrete particle swarm optimization for the problem of multiple multi-level redundancy allocation in series systems

Wei-Chang Yeh.
Expert Systems With Applications (2009)

159 Citations

A new hybrid approach for mining breast cancer pattern using discrete particle swarm optimization and statistical method

Wei-Chang Yeh;Wei-Wen Chang;Yuk Ying Chung.
Expert Systems With Applications (2009)

139 Citations

A revised layered-network algorithm to search for all d-minpaths of a limited-flow acyclic network

Wei-Chang Yeh.
IEEE Transactions on Reliability (1998)

130 Citations

A Particle Swarm Optimization Approach Based on Monte Carlo Simulation for Solving the Complex Network Reliability Problem

Wei-Chang Yeh;Yi-Cheng Lin;Yuk Ying Chung;Mingchang Chih.
IEEE Transactions on Reliability (2010)

124 Citations

Feature selection with Intelligent Dynamic Swarm and Rough Set

Changseok Bae;Wei-Chang Yeh;Yuk Ying Chung;Sin-Long Liu.
Expert Systems With Applications (2010)

120 Citations

A simple approach to search for all d-MCs of a limited-flow network

Wei-Chang Yeh.
Reliability Engineering & System Safety (2001)

119 Citations

A simple minimal path method for estimating the weighted multi-commodity multistate unreliable networks reliability

Wei-Chang Yeh.
Reliability Engineering & System Safety (2008)

104 Citations

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