Boyang Qu

Zhongyuan University of Technology
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

Computer Science D-index 34 Citations 9,012 116 World Ranking 7860 National Ranking 794

Overview

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

While working on this project, Boyang Qu studies both Transcription factor and Sterol regulatory element-binding protein. Sterol regulatory element-binding protein and Gene are two areas of study in which Boyang Qu engages in interdisciplinary work. Boyang Qu merges Gene with Transcription factor in his research. He brings together Molecular biology and Biochemistry to produce work in his papers. Boyang Qu performs multidisciplinary study in Biochemistry and Molecular biology in his work. His work on Viability assay expands to the thematically related Cell. His Viability assay study frequently draws connections between related disciplines such as Cell. He performs multidisciplinary study on Peroxisome proliferator-activated receptor and Peroxisome proliferator-activated receptor gamma in his works. While working in this field, he studies both Peroxisome proliferator-activated receptor gamma and Peroxisome proliferator-activated receptor.

Boyang Qu most often published in these fields:

Transcription factor (50.00%)
Molecular biology (50.00%)
Cell (50.00%)

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

Multiobjective evolutionary algorithms: A survey of the state of the art

Aimin Zhou;Bo-Yang Qu;Hui Li;Shi-Zheng Zhao.
Swarm and evolutionary computation (2011)

2035 Citations

Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization

J. J. Liang;B. Y. Qu;P. N. Suganthan.
(2014)

1306 Citations

Problem Definitions and Evaluation Criteria for the CEC 2013 Special Session on Real-Parameter Optimization

J. J. Liang;B. Y. Qu;P. N. Suganthan;Alfredo G. Hernández-Díaz.
(2013)

785 Citations

Differential Evolution With Neighborhood Mutation for Multimodal Optimization

B. Y. Qu;P. N. Suganthan;J. J. Liang.
IEEE Transactions on Evolutionary Computation (2012)

345 Citations

A Distance-Based Locally Informed Particle Swarm Model for Multimodal Optimization

B. Y. Qu;Ponnuthurai Nagaratnam Suganthan;S. Das.
IEEE Transactions on Evolutionary Computation (2013)

329 Citations

Parameters identification of photovoltaic models using an improved JAYA optimization algorithm

Kunjie Yu;J.J. Liang;B.Y. Qu;Xu Chen.
Energy Conversion and Management (2017)

322 Citations

Real-parameter evolutionary multimodal optimization — A survey of the state-of-the-art

Swagatam Das;Sayan Maity;Bo-Yang Qu;Ponnuthurai Nagaratnam Suganthan.
Swarm and evolutionary computation (2011)

304 Citations

A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module

Kunjie Yu;Boyang Qu;Caitong Yue;Shilei Ge.
Applied Energy (2019)

231 Citations

A Multiobjective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multiobjective Problems

Caitong Yue;Boyang Qu;Jing Liang.
IEEE Transactions on Evolutionary Computation (2018)

223 Citations

Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models

Kunjie Yu;Kunjie Yu;J.J. Liang;B.Y. Qu;Zhiping Cheng.
Applied Energy (2018)

209 Citations

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Frequent Co-Authors

External Links

Personal Website for Boyang Qu