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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

The comparison of multi-objective particle swarm optimization and NSGA II algorithm: applications in centrifugal pumps
Ahmad Nourbakhsh, Hamed Safikhani, Shahram Derakhshan
Engineering Optimization (2011) Vol. 43, Iss. 10, pp. 1095-1113
Closed Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

A comprehensive survey on NSGA-II for multi-objective optimization and applications
Haiping Ma, Yajing Zhang, Shengyi Sun, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 15217-15270
Closed Access | Times Cited: 145
CFD Analysis and Optimum Design for a Centrifugal Pump Using an Effectively Artificial Intelligent Algorithm
Chia‐Nan Wang, Fu-Chiang Yang, Văn Thành Nguyễn, et al.
Micromachines (2022) Vol. 13, Iss. 8, pp. 1208-1208
Open Access | Times Cited: 90
A new metaheuristic for optimization: Optics inspired optimization (OIO)
Ali Husseinzadeh Kashan
Computers & Operations Research (2014) Vol. 55, pp. 99-125
Closed Access | Times Cited: 176
Numerical shape optimization of a centrifugal pump impeller using artificial bee colony algorithm
Shahram Derakhshan, Maryam Pourmahdavi, Ehsan Abdolahnejad, et al.
Computers & Fluids (2013) Vol. 81, pp. 145-151
Closed Access | Times Cited: 125
Multi-objective optimization-based updating of predictions during excavation
Yin-Fu Jin, Zhen‐Yu Yin, Wan‐Huan Zhou, et al.
Engineering Applications of Artificial Intelligence (2018) Vol. 78, pp. 102-123
Open Access | Times Cited: 91
SVM kernel based on particle swarm optimized vector and Bayesian optimized SVM in atmospheric particulate matter forecasting
Georgios N. Kouziokas
Applied Soft Computing (2020) Vol. 93, pp. 106410-106410
Closed Access | Times Cited: 85
Multi-objective optimization of double suction centrifugal pump using Kriging metamodels
Yu Zhang, Sanbo Hu, Jinglai Wu, et al.
Advances in Engineering Software (2014) Vol. 74, pp. 16-26
Closed Access | Times Cited: 83
Multiparameter and multiobjective optimization design of centrifugal pump based on orthogonal method
Yun Xu, Lei Tan, Shuliang Cao, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2016) Vol. 231, Iss. 14, pp. 2569-2579
Closed Access | Times Cited: 71
A new W-SVM kernel combining PSO-neural network transformed vector and Bayesian optimized SVM in GDP forecasting
Georgios N. Kouziokas
Engineering Applications of Artificial Intelligence (2020) Vol. 92, pp. 103650-103650
Closed Access | Times Cited: 57
Pareto Optimal Weighting Factor Design of Predictive Current Controller of a Six-Phase Induction Machine Based on Particle Swarm Optimization Algorithm
Héctor Fretes, Jorge Rodas, Jesús Doval‐Gandoy, et al.
IEEE Journal of Emerging and Selected Topics in Power Electronics (2021) Vol. 10, Iss. 1, pp. 207-219
Open Access | Times Cited: 45
Dynamic coupling of qualitative–quantitative models for operation of water resources based on environmental criteria
Saeid Farokhi, Mohsen Najarchi, Hosein Mazaheri, et al.
Applied Water Science (2025) Vol. 15, Iss. 2
Open Access
Optimization design of aviation centrifugal pump based on synthetical loss model
Jiangfeng Fu, Shijie Zhong, Xianwei Liu, et al.
Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering (2025)
Closed Access
Applications of artificial intelligence and computational intelligence in hydraulic optimization of centrifugal pumps: a comprehensive review
Yuanhui Xu, Xingcheng Gan, Ji Pei, et al.
Engineering Applications of Computational Fluid Mechanics (2025) Vol. 19, Iss. 1
Open Access
Find-Fix-Finish-Exploit-Analyze (F3EA) meta-heuristic algorithm: An effective algorithm with new evolutionary operators for global optimization
Ali Husseinzadeh Kashan, Reza Tavakkoli‐Moghaddam, Mitsuo Gen
Computers & Industrial Engineering (2018) Vol. 128, pp. 192-218
Closed Access | Times Cited: 52
Internal flow structure, fault detection, and performance optimization of centrifugal pumps
Zheming Tong, Jiage Xin, Shuiguang Tong, et al.
Journal of Zhejiang University. Science A (2020) Vol. 21, Iss. 2, pp. 85-117
Closed Access | Times Cited: 39
A multi-objective worker selection scheme in crowdsourced platforms using NSGA-II
Akash Yadav, Sumit Mishra, Ashok Singh Sairam
Expert Systems with Applications (2022) Vol. 201, pp. 116991-116991
Closed Access | Times Cited: 25
Multi-objective feasibility enhanced particle swarm optimization
Mehmet Hasanoglu, Melik Dölen
Engineering Optimization (2018) Vol. 50, Iss. 12, pp. 2013-2037
Closed Access | Times Cited: 43
Numerical simulation and optimization of steam-assisted gravity drainage with temperature, rate, and well distance control using an efficient hybrid optimization technique
Majid Siavashi, Hamid Garusi, Shahram Derakhshan
Numerical Heat Transfer Part A Applications (2017) Vol. 72, Iss. 9, pp. 721-744
Closed Access | Times Cited: 41
Artificial Neural Networks Approach for a Multi-Objective Cavitation Optimization Design in a Double-Suction Centrifugal Pump
Wenjie Wang, Majeed Koranteng Osman, Ji Pei, et al.
Processes (2019) Vol. 7, Iss. 5, pp. 246-246
Open Access | Times Cited: 40
Usage of Optimization Techniques in Civil Engineering During the Last Two Decades
Tayfun Dede
Current Trends in Civil & Structural Engineering (2019) Vol. 2, Iss. 1
Open Access | Times Cited: 36
Surrogate-based design optimization of a centrifugal pump impeller
Ashutosh Jaiswal, M. H. Siddique, Akshoy Ranjan Paul, et al.
Engineering Optimization (2021) Vol. 54, Iss. 8, pp. 1395-1412
Open Access | Times Cited: 28
Application of a modified MOPSO algorithm and multi-layer artificial neural network in centrifugal pump optimization
Xingcheng Gan, Ji Pei, Wenjie Wang, et al.
Engineering Optimization (2022) Vol. 55, Iss. 4, pp. 580-598
Closed Access | Times Cited: 18
Optimization of Hydraulic Efficiency and Internal Flow Characteristics of a Multi-Stage Pump Using RBF Neural Network
Lei Zhang, Dayong Wang, Gang Yang, et al.
Water (2024) Vol. 16, Iss. 11, pp. 1488-1488
Open Access | Times Cited: 3
Optimization Design and Internal Flow Characteristics Analysis Based on Latin Hypercube Sampling Method
Guangjie Peng, Li’e Ma, Shiming Hong, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 3
Research Progress of Advanced Design Method, Numerical Simulation, and Experimental Technology of Pumps in Deep-Sea Resource Exploitation
Leilei Ji, Xinrui He, Wei Li, et al.
Water (2024) Vol. 16, Iss. 13, pp. 1881-1881
Open Access | Times Cited: 3
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