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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:

Machine learning for microfluidic design and control
David McIntyre, Ali Lashkaripour, Polly M. Fordyce, et al.
Lab on a Chip (2022) Vol. 22, Iss. 16, pp. 2925-2937
Open Access | Times Cited: 74

Showing 26-50 of 74 citing articles:

Revolutionizing biocatalysis: A review on innovative design and applications of enzyme-immobilized microfluidic devices
Pravin D. Patil, Niharika Gargate, Khushi Dongarsane, et al.
International Journal of Biological Macromolecules (2024), pp. 136193-136193
Closed Access | Times Cited: 2
Machine-Learning-Enabled Design and Manipulation of a Microfluidic Concentration Gradient Generator
Naiyin Zhang, Zhenya Liu, Junchao Wang
Micromachines (2022) Vol. 13, Iss. 11, pp. 1810-1810
Open Access | Times Cited: 14
Exploring the potential of microfluidics for next-generation drug delivery systems
Gargi Bhattacharjee, Nisarg Gohil, Malvika Shukla, et al.
OpenNano (2023) Vol. 12, pp. 100150-100150
Open Access | Times Cited: 7
Closed-loop control systems for pumps used in portable analytical systems
Suleman A. Naz, Van Thanh Huynh, Egan H. Doeven, et al.
Journal of Chromatography A (2023) Vol. 1695, pp. 463931-463931
Closed Access | Times Cited: 6
Machine learning enhanced droplet microfluidics
Claire M. Barnes, Ashish R. Sonwane, Eva C. Sonnenschein, et al.
Physics of Fluids (2023) Vol. 35, Iss. 9
Open Access | Times Cited: 6
Magnetic‐optical dual functional Janus particles for the detection of metal ions assisted by machine learning
J.Y. Liu, Yingdi Lv, Xinghai Li, et al.
Smart Molecules (2023) Vol. 1, Iss. 2
Open Access | Times Cited: 6
A general neural network model co-driven by mechanism and data for the reliable design of gas–liquid T-junction microdevices
Yu Chang, Lin Sheng, Junjie Wang, et al.
Lab on a Chip (2023) Vol. 23, Iss. 22, pp. 4888-4900
Closed Access | Times Cited: 6
Understanding the effects of forced and bubble-induced convection in transport-limited organic electrosynthesis
Casey Bloomquist, Melisa Dogan, James S. Harris, et al.
Reaction Chemistry & Engineering (2024) Vol. 9, Iss. 4, pp. 930-939
Closed Access | Times Cited: 1
Lab-on-a-chip: Unit Operations to Scale-up Strategies
Danial Khorsandi, Jiawei Yang, Serena Jenson, et al.
Royal Society of Chemistry eBooks (2024), pp. 560-614
Closed Access | Times Cited: 1
Integration of Artificial Intelligence and Computational Thinking in Lab-on-a-chip Technology for Quality Improvement in Healthcare
Suparna Das, Hirak Mazumdar
Royal Society of Chemistry eBooks (2024), pp. 272-309
Open Access | Times Cited: 1
Development of an automated platform for monitoring microfluidic reactors through multi-reactor integration and online (chip-)LC/MS-detection
Hannes Westphal, Simon Schmidt, Sanjay Lama, et al.
(2024)
Open Access | Times Cited: 1
Development of an automated platform for monitoring microfluidic reactors through multi-reactor integration and online (chip-)LC/MS-detection
Hannes Westphal, Simon Schmidt, Sanjay Lama, et al.
Reaction Chemistry & Engineering (2024) Vol. 9, Iss. 7, pp. 1739-1750
Open Access | Times Cited: 1
Predicting microfluidic droplet diameters in glass capillary devices using machine learning
Serena J. Holte, Dheeraj Sapkota, Laura Adams
Journal of Dispersion Science and Technology (2024), pp. 1-8
Open Access | Times Cited: 1
Magnetic levitation-based miniaturized technologies for advanced diagnostics
Betul Karakuzu, Müge Anıl-İnevi, E. Alperay Tarim, et al.
Emergent Materials (2024)
Open Access | Times Cited: 1
Artificial Intelligence Performance in Testing Microfluidics for Point-of-Care
Mert Tunca Doganay, Purbali Chakraborty, Sri Moukthika Bommakanti, et al.
Lab on a Chip (2024)
Open Access | Times Cited: 1
Machine Learning-Driven Innovations in Microfluidics
JinSeok Park, Y. Kim, Hee‐Jae Jeon
Biosensors (2024) Vol. 14, Iss. 12, pp. 613-613
Open Access | Times Cited: 1
ANN-Based Instantaneous Simulation of Particle Trajectories in Microfluidics
Naiyin Zhang, Kaicong Liang, Zhenya Liu, et al.
Micromachines (2022) Vol. 13, Iss. 12, pp. 2100-2100
Open Access | Times Cited: 8
Online Microfluidic Droplets Characterization Using Microscope Data Intelligent Analysis
Oleg O. Kartashov, Sergey V. Chapek, Dmitry S. Polyanichenko, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 7-7
Open Access | Times Cited: 3
Viscoelastic Particle Encapsulation Using a Hyaluronic Acid Solution in a T-Junction Microfluidic Device
Anoshanth Jeyasountharan, Francesco Del Giudice
Micromachines (2023) Vol. 14, Iss. 3, pp. 563-563
Open Access | Times Cited: 3
Versatility and stability optimization of flow-focusing droplet generators via quality metric-driven design automation
David McIntyre, Ali Lashkaripour, Diana Arguijo, et al.
Lab on a Chip (2023) Vol. 23, Iss. 23, pp. 4997-5008
Closed 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
Recent advances in microfluidic platforms for single particle analysis
Kuangjun Li, Jing Wu
TrAC Trends in Analytical Chemistry (2023) Vol. 165, pp. 117139-117139
Closed Access | Times Cited: 2
Recent Approaches to Design and Analysis of Electrical Impedance Systems for Single Cells Using Machine Learning
Caroline Ferguson, Yu Zhang, Cristiano Palego, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 5990-5990
Open Access | Times Cited: 2
Convergence of machine learning with microfluidics and metamaterials to build smart materials
Prateek Mittal, Krishnadas Narayanan Nampoothiri, Abhishek Jha, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024) Vol. 18, Iss. 10, pp. 6909-6917
Open Access
Role of quantum technology and artificial intelligence for nano-enabled microfluidics
Surendra K. Yadav, Kolleboyina Jayaramulu
Elsevier eBooks (2024), pp. 189-208
Closed Access

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