Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Machine learning-aided design optimization of a mechanical micromixer
Francisco-Javier Granados-Ortiz, J. Ortega-Casanova
Physics of Fluids (2021) Vol. 33, Iss. 6
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

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: 21
An efficient framework for controllable micromixer design through the fusion of data-driven modeling and machine learning insights: Numerical and experimental analysis
Faridoddin Hassani, Farhad Sadegh Moghanlou, Asgar Minaei, et al.
Physics of Fluids (2024) Vol. 36, Iss. 3
Closed Access | Times Cited: 9
Microfluidic Mixing: A Physics-Oriented Review
Sri Manikandan Saravanakumar, Paul-Vahé Cicek
Micromachines (2023) Vol. 14, Iss. 10, pp. 1827-1827
Open Access | Times Cited: 19
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
Design, optimization and scale-up of a new micromixer design based on plate column for organic synthesis
Harrson Silva Santana, Victória Anselmo Haddad, Paulo Victor Cuesta Calvo, et al.
Chemical Engineering Journal (2022) Vol. 446, pp. 137159-137159
Closed Access | Times Cited: 23
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
Reduced-order prediction of unsteady spatial-temporal aerodynamics in a turbine cascade
Tianyang Qiao, Chenxing Hu, Ce Yang
Aerospace Science and Technology (2024) Vol. 145, pp. 108896-108896
Closed Access | Times Cited: 4
A universal inverse design methodology for microfluidic mixers
Naiyin Zhang, Taotao Sun, Zhenya Liu, et al.
Biomicrofluidics (2024) Vol. 18, Iss. 2
Open Access | Times Cited: 4
Insights into a T-type micromixer with novel electromagnetic mixing
Junsheng Wang, Qiaoyu Feng, Junzhu Yao, et al.
International Journal of Heat and Mass Transfer (2023) Vol. 214, pp. 124468-124468
Closed Access | Times Cited: 12
An asymmetric orifice-based active micromixer in the microfluidic chip with 3D microelectrode
Kai Zhao, Qiaoyu Feng, Junzhu Yao, et al.
Chaos Solitons & Fractals (2024) Vol. 183, pp. 114973-114973
Closed Access | Times Cited: 3
Combining computational fluid dynamics, photon fate simulation and machine learning to optimize continuous-flow photocatalytic systems
Gabriela Xavier de Oliveira, Simon Kuhn, Humberto Gracher Riella, et al.
Reaction Chemistry & Engineering (2023) Vol. 8, Iss. 9, pp. 2119-2133
Open Access | Times Cited: 10
Optimum design for the Tesla micromixer
Bahador Abolpour, Ramtin Hekmatkhah, Rahim Shamsoddini
Microfluidics and Nanofluidics (2022) Vol. 26, Iss. 6
Closed Access | Times Cited: 14
Multi-fidelity model and reduced-order method for comprehensive hydrodynamic performance optimization and prediction of JBC ship
Xinwang Liu, Decheng Wan, Lei Lei
Ocean Engineering (2022) Vol. 267, pp. 113321-113321
Open Access | Times Cited: 12
Swin Transformer based fluid classification using Gram angle field-converted well logging data: A novel approach
Youzhuang Sun, Junhua Zhang, Yong-An Zhang
Physics of Fluids (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 2
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
3D CFD simulation of the interaction between front wheels&brake ducts and optimised five-element F1 race car front wings under regulations
Francisco-Javier Granados-Ortiz, Pablo Morales-Higueras, J. Ortega-Casanova
Alexandria Engineering Journal (2023) Vol. 69, pp. 677-698
Open Access | Times Cited: 5
A generalized framework for unsupervised learning and data recovery in computational fluid dynamics using discretized loss functions
Deepinder Jot Singh Aulakh, Steven Beale, Jon G. Pharoah
Physics of Fluids (2022) Vol. 34, Iss. 7
Closed Access | Times Cited: 8
Base on temporal convolution and spatial convolution transformer for fluid prediction through well logging data
Youzhuang Sun, Junhua Zhang, Yong‐An Zhang
Physics of Fluids (2024) Vol. 36, Iss. 2
Open Access | Times Cited: 1
Effect of disturbing flow ring on hydrodynamic cavitation characteristics of self-excited oscillating cavitation used for RB degradation
Songlin Nie, Tingting Qin, Hui Ji, et al.
Physics of Fluids (2024) Vol. 36, Iss. 4
Closed Access | Times Cited: 1
Multifield coupling axial flow turbine performance prediction model and multi-objective optimization design method
Kewen Xu, Xinxin Jiang, Guoqiang Yue
Physics of Fluids (2024) Vol. 36, Iss. 9
Closed Access | Times Cited: 1
Effects of cylinder cross-sectional geometry and blockage ratio on VIV-based mixing performance in two dimensional laminar channel flow
Seyyed M. Hasheminejad, Ramin Fallahi
Chemical Engineering and Processing - Process Intensification (2022) Vol. 177, pp. 108987-108987
Closed Access | Times Cited: 7
Two-Dimensional-Based Hybrid Shape Optimisation of a 5-Element Formula 1 Race Car Front Wing under FIA Regulations
Francisco-Javier Granados-Ortiz, Pablo Morales-Higueras, J. Ortega-Casanova, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 231-231
Open Access | Times Cited: 3
A machine learning-based framework to design capillary-driven networks
Pedro Manuel Garcia Eijo, Thomas Duriez, Juan Martín Cabaleiro, et al.
Lab on a Chip (2022) Vol. 22, Iss. 24, pp. 4860-4870
Closed Access | Times Cited: 5
An open-source topology optimization modeling framework for the design of passive micromixer structure
Jian Na, Hong Li, Peng Yan, et al.
Chemical Engineering Science (2022) Vol. 259, pp. 117820-117820
Open Access | Times Cited: 4
Improvements in the Characterisation of Permeability and Inertial Factor of Insect-Proof Screens through Pressure Drop Coefficients
Francisco-Javier Granados-Ortiz, A. López, F.D. Molina-Aiz, et al.
Agronomy (2023) Vol. 13, Iss. 2, pp. 602-602
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top