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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:

Droplet based microfluidics integrated with machine learning
Sangam Srikanth, Satish Kumar Dubey, Arshad Javed, et al.
Sensors and Actuators A Physical (2021) Vol. 332, pp. 113096-113096
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

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
Recent advances in smart wearable sensors for continuous human health monitoring
Madhusudan B. Kulkarni, R. Sivakumar, Beatriz Prieto‐Simón, et al.
Talanta (2024) Vol. 272, pp. 125817-125817
Closed Access | Times Cited: 41
Reaching unreachables: Obstacles and successes of microbial cultivation and their reasons
Gabriela Kapinusová, Marco A. Lopez Marin, Ondřej Uhlík
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 40
Design automation of microfluidic single and double emulsion droplets with machine learning
Ali Lashkaripour, David McIntyre, Suzanne G. K. Calhoun, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 18
Automation and Computerization of (Bio)sensing Systems
Chamarthi Maheswar Raju, Decibel P. Elpa, Pawel L. Urban
ACS Sensors (2024) Vol. 9, Iss. 3, pp. 1033-1048
Open Access | Times Cited: 13
Intelligent control of nanoparticle synthesis on microfluidic chips with machine learning
Xueye Chen, Honglin Lv
NPG Asia Materials (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 45
Intelligent control of nanoparticle synthesis through machine learning
Honglin Lv, Xueye Chen
Nanoscale (2022) Vol. 14, Iss. 18, pp. 6688-6708
Closed Access | Times Cited: 36
Can Artificial Intelligence Accelerate Fluid Mechanics Research?
Dimitris Drikakis, Filippos Sofos
Fluids (2023) Vol. 8, Iss. 7, pp. 212-212
Open Access | Times Cited: 24
Advances in Integration, Wearable Applications, and Artificial Intelligence of Biomedical Microfluidics Systems
Xingfeng Ma, Gang Guo, Xuanye Wu, et al.
Micromachines (2023) Vol. 14, Iss. 5, pp. 972-972
Open Access | Times Cited: 23
Advances in Machine‐Learning Enhanced Nanosensors: From Cloud Artificial Intelligence Toward Future Edge Computing at Chip Level
Zixuan Zhang, Xinmiao Liu, Hong Zhou, et al.
Small Structures (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 21
Integrating machine learning and biosensors in microfluidic devices: A review
Gianni Antonelli, Joanna Filippi, Michele D’Orazio, et al.
Biosensors and Bioelectronics (2024) Vol. 263, pp. 116632-116632
Open Access | Times Cited: 7
Optimizing Droplet Coalescence Dynamics in Microchannels: A Comprehensive Study Using Response Surface Methodology and Machine Learning Algorithms
Seyed Morteza Javadpour, Erfan Kadivar, Zienab Heidary Zarneh, et al.
Heliyon (2025) Vol. 11, Iss. 1, pp. e41510-e41510
Open Access
3D printing and artificial intelligence tools for droplet microfluidics: Advances in the generation and analysis of emulsions
Sibilla Orsini, Marco Lauricella, Andrea Montessori, et al.
Applied Physics Reviews (2025) Vol. 12, Iss. 1
Closed Access
Micro-PIV experimental measurements of vortex evolution inside generated droplets in T-inlet microchannel
Wang Cao, Qingjun Yang, Rong Guo, et al.
Experimental Thermal and Fluid Science (2025), pp. 111418-111418
Closed Access
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
Functions and applications of artificial intelligence in droplet microfluidics
Huan Liu, Lang Nan, Feng Chen, et al.
Lab on a Chip (2023) Vol. 23, Iss. 11, pp. 2497-2513
Closed Access | Times Cited: 18
Deep learning with microfluidics for on-chip droplet generation, control, and analysis
Hao Sun, Wantao Xie, Jin Mo, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 18
Drop Size Measurement Techniques for Agricultural Sprays:A State-of-The-Art Review
Salvatore Privitera, Giuseppe Manetto, Simone Pascuzzi, et al.
Agronomy (2023) Vol. 13, Iss. 3, pp. 678-678
Open Access | Times Cited: 15
Recent advancements in integrated microthermofluidic systems for biochemical and biomedical applications – A review
Madhusudan B. Kulkarni, Sanket Goel
Sensors and Actuators A Physical (2022) Vol. 341, pp. 113590-113590
Closed Access | Times Cited: 24
In-depth analysis of biocatalysts by microfluidics: An emerging source of data for machine learning
Michal Vasina, David Kovář, Jiřı́ Damborský, et al.
Biotechnology Advances (2023) Vol. 66, pp. 108171-108171
Closed Access | Times Cited: 12
Deep learning-augmented T-junction droplet generation
Abdollah Ahmadpour, Mostafa Shojaeian, Savaş Taşoğlu
iScience (2024) Vol. 27, Iss. 4, pp. 109326-109326
Open Access | Times Cited: 3
Revolutionizing microfluidics with artificial intelligence: a new dawn for lab-on-a-chip technologies
Keisuke Goda, Hang Lu, Peng Fei, et al.
Lab on a Chip (2023) Vol. 23, Iss. 17, pp. 3737-3740
Closed Access | Times Cited: 9
Merged and alternating droplets generation in double T-junction microchannels using symmetrically inserted capillaries
Feng Shen, Yuedong Zhang, Chunyou Li, et al.
Microfluidics and Nanofluidics (2024) Vol. 28, Iss. 5
Closed Access | Times Cited: 2
Developing machine learning models with metaheuristic algorithms for droplet size prediction in a microfluidic microchannel
Faezeh Eslami, Reza Kamali
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101583-101583
Closed Access | Times Cited: 2
Pretreatment optimization for microalgae oil yield enhancement and residual biomass characterization for sustainable biofuel feedstock production
Sheetal Mane, Anupama Singh, Neetu Kumra Taneja
Biomass Conversion and Biorefinery (2024)
Closed Access | Times Cited: 2
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