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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:

Computational fluid dynamics and machine learning as tools for optimization of micromixers geometry
Daniela de Oliveira Maionchi, Luca Ainstein, Fabio Pereira dos Santos, et al.
International Journal of Heat and Mass Transfer (2022) Vol. 194, pp. 123110-123110
Open Access | Times Cited: 23

Showing 23 citing articles:

A comprehensive review on the fundamental principles, innovative designs, and multidisciplinary applications of micromixers
Wenbo Han, Wei Li, Hongpeng Zhang
Physics of Fluids (2024) Vol. 36, Iss. 10
Closed Access | Times Cited: 23
Microsystem Advances through Integration with Artificial Intelligence
Hsieh‐Fu Tsai, Soumyajit Podder, Pin‐Yuan Chen
Micromachines (2023) Vol. 14, Iss. 4, pp. 826-826
Open Access | Times Cited: 23
Advancing microfluidic design with machine learning: a Bayesian optimization approach
Ivana Kundačina, Ognjen Kundačina, Dragiša Mišković, et al.
Lab on a Chip (2025)
Open Access | Times Cited: 1
Optimization of a novel micromixer with fan-shaped obstacles
Narges Jafari Ghahfarokhi, Morteza Bayareh, Amireh Nourbakhsh, et al.
Chemical Papers (2024) Vol. 78, Iss. 7, pp. 4201-4210
Closed Access | Times Cited: 7
Machine Learning for Chemical Looping: Recent Advances and Prospects
Yiwen Song, Shenglong Teng, Diyan Fang, et al.
Energy & Fuels (2024) Vol. 38, Iss. 13, pp. 11541-11561
Closed Access | Times Cited: 6
Numerical Analysis and Moth Flame Optimization of Passive T-Micromixer with Twist and Bend mixing channel
M. Mustafa, Mohammad Zunaid, Samsher Gautam
Chemical Engineering and Processing - Process Intensification (2023) Vol. 190, pp. 109436-109436
Closed Access | Times Cited: 14
Deep Opt: A structure optimization framework based on deep learning, and its application to micromixer optimization
Tao Bu, Q.Y. Li, Jingtao Wang
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
Microfluidics in smart food safety
Liyuan Gong, Yang Lin
Advances in food and nutrition research (2024), pp. 305-354
Closed Access | Times Cited: 3
A comprehensive review of the modeling of transport phenomenon in the flow channels of polymer electrolyte membrane fuel cells
Niyi Olukayode, Shenrong Ye, Mingruo Hu, et al.
Frontiers of Chemical Science and Engineering (2024) Vol. 18, Iss. 8
Closed Access | Times Cited: 3
On the machine learning-assisted identification of the fundamental parameters of nonstandard microfin arrays to assess their heat transfer performance
Ana Larrañaga, Richard D. Sandberg, Javier Martínez Martínez, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108945-108945
Open Access | Times Cited: 3
Towards Design Automation of Microfluidic Mixers: Leveraging Reinforcement Learning and Artificial Neural Networks
Yu‐Wei Chen, Taotao Sun, Zhenya Liu, et al.
Micromachines (2024) Vol. 15, Iss. 7, pp. 901-901
Open Access | Times Cited: 2
CFD-based optimization of a high-throughput recycle micromixer
Narges Jafari Ghahfarokhi, Mehdi Mosharaf‐Dehkordi, Morteza Bayareh
International Communications in Heat and Mass Transfer (2024) Vol. 159, pp. 108117-108117
Closed Access | Times Cited: 2
A spectIR-fluidic reactor for monitoring fast chemical reaction kinetics with on-chip attenuated total reflection Fourier transform infrared spectroscopy
Nan Jia, Leon Torres de Oliveira, André Bégin‐Drolet, et al.
Analytical Methods (2023) Vol. 15, Iss. 39, pp. 5129-5138
Closed Access | Times Cited: 5
A Review on Optimal Design of Fluid Machinery Using Machine Learning Techniques
Bin Xu, Jiali Deng, Xingyu Liu, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 5, pp. 941-941
Open Access | Times Cited: 4
Versatile hybrid technique for passive straight micromixer manufacturing by combining pulsed laser ablation, stereolithographic 3D printing and computational fluid dynamics
Bastián Carnero, Yago Radziunas‐Salinas, Bruno K. Rodiño‐Janeiro, et al.
Lab on a Chip (2024) Vol. 24, Iss. 10, pp. 2669-2682
Open Access | Times Cited: 1
Hydrodynamic characterization of bubble column using Dynamical High Order Decomposition approach
Carlos Méndez, Filipe Pessoa dos Santos, Gabrielle Gomes Ferreira
Journal of Computational Science (2024) Vol. 80, pp. 102316-102316
Open Access | Times Cited: 1
Predictive Model and Optimization of Micromixers Geometry using Gaussian Process with Uncertainty Quantification and Genetic Algorithm
Daniela Maionchi, Neil Diogo Silva Coimbra, J. S. Gonçalves, et al.
Fluid Dynamics Research (2024) Vol. 56, Iss. 6, pp. 065504-065504
Open Access | Times Cited: 1
Optimizing passive micromixers: Enhancing mixing efficiency through computational fluid dynamics and metaheuristic algorithms
M. Mustafa, Mohammad Zunaid, Samsher Gautam
The Canadian Journal of Chemical Engineering (2024)
Closed Access | Times Cited: 1
Exploring the Bioenergy Potential of Microfluidics: The Case of a T-Micromixer with Helical Elements for Sustainable Energy Solutions
Abdelkader Mahammedi, Naas Toufik Tayeb, Rahmani Kouider, et al.
Energies (2023) Vol. 16, Iss. 20, pp. 7123-7123
Open Access | Times Cited: 2
Mixing Performance Analysis and Optimal Design of a Novel Passive Baffle Micromixer
Yiwen Zheng, Yu Liu, Chaojun Tang, et al.
Micromachines (2024) Vol. 15, Iss. 2, pp. 182-182
Open Access
Machine Learning and Genetic Algorithms in the Microfluidic Design of Highly Efficient Micromixers
Ahmad Naseri Karimvand, Moheb Amirmahani, Reyhane Sadeghinasab, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 43, pp. 18626-18638
Closed Access
Computational Modeling as a Tool to Drive the Development of a Novel, Chemical Device for Monitoring the Injured Brain and Body
De-Shaine Murray, Laure Stickel, Martyn G. Boutelle
ACS Chemical Neuroscience (2023) Vol. 14, Iss. 19, pp. 3599-3608
Open Access
Machine learning and genetic algorithm as tools for single and multi-objective shape optimization of micromixers with Cantor fractal structure
Jingzhi Cao, Xueye Chen
Brazilian Journal of Chemical Engineering (2023)
Closed Access
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