Boyang Qu is affiliated with Zhongyuan University of Technology in China. Their research spans primarily the fields of Computer Science and Engineering, with notable contributions in subfields such as Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Control and Systems Engineering, and Signal Processing.
The scientist's work focuses extensively on topics including Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms, Evolutionary Algorithms and Applications, Additive Manufacturing and 3D Printing Technologies, Advanced Adaptive Filtering Techniques, Speech and Audio Processing, and Solar Radiation and Photovoltaics.
Recent papers authored or coauthored by Boyang Qu include:
Boyang Qu has collaborated frequently with several co-authors, reflecting ongoing research partnerships. These include Jing Liang, Kunjie Yu, Caitong Yue, Kangjia Qiao, and Yan Li.
The scientist has published extensively in various venues, with the most publications appearing in:
Boyang Qu has contributed to book publications primarily with Springer Science+Business Media. Notable books include "Advanced Intelligent Computing Technology and Applications" (2023) and "Bio-inspired Computing: Theories and Applications" (2020), among others published between 2020 and 2023.
Aimin Zhou;Bo-Yang Qu;Hui Li;Shi-Zheng Zhao
J. J. Liang;B. Y. Qu;P. N. Suganthan
J. J. Liang;B. Y. Qu;P. N. Suganthan;Alfredo G. Hernández-Díaz
Caitong Yue;Boyang Qu;Jing Liang
Kunjie Yu;J.J. Liang;B.Y. Qu;Xu Chen
B. Y. Qu;P. N. Suganthan;J. J. Liang
B. Y. Qu;Ponnuthurai Nagaratnam Suganthan;S. Das
Kunjie Yu;Boyang Qu;Caitong Yue;Shilei Ge
Unknown
Kunjie Yu;Kunjie Yu;J.J. Liang;B.Y. Qu;Zhiping Cheng
Swagatam Das;Sayan Maity;Bo-Yang Qu;Ponnuthurai Nagaratnam Suganthan
Unknown
Partha Pratim Biswas;Ponnuthurai Nagaratnam Suganthan;Bo Yang Qu;Gehan A. J. Amaratunga
Bo-Yang Qu;Bo-Yang Qu;Yongsheng Zhu;Yongsheng Zhu;Y. C. Jiao;M. Y. Wu
J. J. Liang;C. T. Yue;B. Y. Qu
B. Y. Qu;J. J. Liang;P. N. Suganthan
Unknown
B. Y. Qu;P. N. Suganthan
Jing J. Liang;Weiwei Xu;Caitong Yue;Kunjie Yu
Jing Liang;Shilei Ge;Boyang Qu;Kunjie Yu
B.Y. Qu;J.J. Liang;Y.S. Zhu;Z.Y. Wang
B. Y. Qu;P. N. Suganthan
Bo-Yang Qu;Bo-Yang Qu;Jing J. Liang;Jing J. Liang;Z. Y. Wang;Qin Chen
If you think any of the details on this page are incorrect, let us know.
Studying Computer Science in the USA opens doors to a range of online degrees and flexible career options. Students and professionals interested in a broader science background might explore an online bachelor’s degree in physics—an ideal choice for those drawn to analytical and technical problem-solving.
For those passionate about data and analytics, pursuing the cheapest master in data science can provide advanced skills needed in today’s job market. Data Science is closely linked to Computer Science, making it a strong pathway for specialization.
Alternatively, students interested in hardware, robotics, or communications may benefit from enrolling in an online bachelor’s in electrical engineering. This field overlaps with Computer Science and offers excellent career opportunities in tech industries.
If you’re looking to quickly upskill and boost your earning potential, short-term certificate programs that pay well provide rapid, practical pathways into high-demand technology roles—often at a fraction of the cost and time of a full degree.
Southern University of Science and Technology
Institut National de la Recherche Scientifique
Sorbonne University
Louisiana State University
Wake Forest University
Technical University of Denmark
University of Lleida
European Bioinformatics Institute
University of Tokyo
Nanjing University
University of Regensburg
Apple (United States)
Google (United States)
Virginia Commonwealth University
University of Cambridge
Marche Polytechnic University