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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:

Deep Learning with Microfluidics for Biotechnology
Jason Riordon, Dušan Sovilj, Scott Sanner, et al.
Trends in biotechnology (2018) Vol. 37, Iss. 3, pp. 310-324
Closed Access | Times Cited: 186

Showing 1-25 of 186 citing articles:

Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning
Mohamed Loey, Florentín Smarandache, Nour Eldeen M. Khalifa
Symmetry (2020) Vol. 12, Iss. 4, pp. 651-651
Open Access | Times Cited: 513
Microfluidics for Biomedical Analysis
Yong Yang, Yong Chen, Hao Tang, et al.
Small Methods (2019) Vol. 4, Iss. 4
Closed Access | Times Cited: 159
Machine-Learning Methods for Computational Science and Engineering
Michael Frank, Dimitris Drikakis, Vassilis Charissis
Computation (2020) Vol. 8, Iss. 1, pp. 15-15
Open Access | Times Cited: 154
Single-cell microfluidic impedance cytometry: from raw signals to cell phenotypes using data analytics
Carlos Honrado, Paolo Bisegna, Nathan S. Swami, et al.
Lab on a Chip (2020) Vol. 21, Iss. 1, pp. 22-54
Open Access | Times Cited: 142
Machine learning enables design automation of microfluidic flow-focusing droplet generation
Ali Lashkaripour, Christopher Rodriguez, Noushin Mehdipour, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 131
Machine learning for biochemical engineering: A review
Max Mowbray, Thomas Savage, Chufan Wu, et al.
Biochemical Engineering Journal (2021) Vol. 172, pp. 108054-108054
Open Access | Times Cited: 130
Detection of Coronavirus (COVID-19) Associated Pneumonia Based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model Using Chest X-ray Dataset
Nour Eldeen M. Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien, et al.
Lecture notes on data engineering and communications technologies (2022), pp. 234-247
Closed Access | Times Cited: 105
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: 75
3D bioprinted organ‐on‐chips
Sajjad Rahmani Dabbagh, Misagh Rezapour Sarabi, Mehmet Tugrul Birtek, et al.
Aggregate (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 69
Advances in Spheroids and Organoids on a Chip
Guocheng Fang, Yu‐Cheng Chen, Hongxu Lu, et al.
Advanced Functional Materials (2023) Vol. 33, Iss. 19
Open Access | Times Cited: 64
Organ-on-a-chip meets artificial intelligence in drug evaluation
Shiwen Deng, Caifeng Li, Junxian Cao, et al.
Theranostics (2023) Vol. 13, Iss. 13, pp. 4526-4558
Open Access | Times Cited: 44
Passive microfluidic devices for cell separation
Tianlong Zhang, Dino Di Carlo, Chwee Teck Lim, et al.
Biotechnology Advances (2024) Vol. 71, pp. 108317-108317
Closed Access | Times Cited: 19
High-throughput microfluidic systems accelerated by artificial intelligence for biomedical applications
Jianhua Zhou, Jianpei Dong, Hongwei Hou, et al.
Lab on a Chip (2024) Vol. 24, Iss. 5, pp. 1307-1326
Open Access | Times Cited: 14
Deep learning for fabrication and maturation of 3D bioprinted tissues and organs
Wei Long Ng, Alvin Chan, Yew-Soon Ong, et al.
Virtual and Physical Prototyping (2020) Vol. 15, Iss. 3, pp. 340-358
Closed Access | Times Cited: 121
Deep Transfer Learning Models for Medical Diabetic Retinopathy Detection
Nour Eldeen M. Khalifa, Mohamed Loey, Mohamed Hamed N. Taha, et al.
Acta Informatica Medica (2019) Vol. 27, Iss. 5, pp. 327-327
Open Access | Times Cited: 113
Intelligent Microfluidics: The Convergence of Machine Learning and Microfluidics in Materials Science and Biomedicine
Edgar A. Galan, Haoran Zhao, Xukang Wang, et al.
Matter (2020) Vol. 3, Iss. 6, pp. 1893-1922
Open Access | Times Cited: 113
Droplet microfluidics: from proof-of-concept to real-world utility?
Akkapol Suea‐Ngam, Philip D. Howes, Monpichar Srisa‐Art, et al.
Chemical Communications (2019) Vol. 55, Iss. 67, pp. 9895-9903
Open Access | Times Cited: 112
Deep learning for the classification of human sperm
Jason Riordon, Christopher McCallum, David Sinton
Computers in Biology and Medicine (2019) Vol. 111, pp. 103342-103342
Closed Access | Times Cited: 107
Artificial Intelligence Technique for Gene Expression by Tumor RNA-Seq Data: A Novel Optimized Deep Learning Approach
Nour Eldeen M. Khalifa, Mohamed Hamed N. Taha, Dalia Ezzat, et al.
IEEE Access (2020) Vol. 8, pp. 22874-22883
Open Access | Times Cited: 107
Cotton thread-based wearable sensor for non-invasive simultaneous diagnosis of diabetes and kidney failure
Nadtinan Promphet, Juan P. Hinestroza, Pranee Rattanawaleedirojn, et al.
Sensors and Actuators B Chemical (2020) Vol. 321, pp. 128549-128549
Closed Access | Times Cited: 107
AI on a chip
Akihiro Isozaki, Jeffrey Harmon, Yuqi Zhou, et al.
Lab on a Chip (2020) Vol. 20, Iss. 17, pp. 3074-3090
Closed Access | Times Cited: 106
Deep learning-based selection of human sperm with high DNA integrity
Christopher McCallum, Jason Riordon, Yihe Wang, et al.
Communications Biology (2019) Vol. 2, Iss. 1
Open Access | Times Cited: 95
Microfluidic Synthesis of Luminescent and Plasmonic Nanoparticles: Fast, Efficient, and Data‐Rich
Julia Nette, Philip D. Howes, Andrew J. deMello
Advanced Materials Technologies (2020) Vol. 5, Iss. 7
Closed Access | Times Cited: 73
A neural network approach for real-time particle/cell characterization in microfluidic impedance cytometry
Carlos Honrado, John S. McGrath, Riccardo Reale, et al.
Analytical and Bioanalytical Chemistry (2020) Vol. 412, Iss. 16, pp. 3835-3845
Open Access | Times Cited: 71
Deep Learning for Imaging and Detection of Microorganisms
Yang Zhang, Hao Jiang, Taoyu Ye, et al.
Trends in Microbiology (2021) Vol. 29, Iss. 7, pp. 569-572
Closed Access | Times Cited: 66
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