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:

Microfluidic droplet detection via region-based and single-pass convolutional neural networks with comparison to conventional image analysis methodologies
Gregory Rutkowski, Ilgar Azizov, Evan Unmann, et al.
Machine Learning with Applications (2021) Vol. 7, pp. 100222-100222
Open Access | Times Cited: 20

Showing 20 citing articles:

Trends in food emulsion technology: Pickering, nano-, and double emulsions
Gisle Øye, Sébastien Simon, Turid Rustad, et al.
Current Opinion in Food Science (2023) Vol. 50, pp. 101003-101003
Open Access | Times Cited: 42

Underwater Gas Leak Quantification by Convolutional Neural Network Using Images
Gustavo Luís Rodrigues Caldas, Roger Matsumoto Moreira, Maurício B. de Souza
Processes (2025) Vol. 13, Iss. 1, pp. 118-118
Open Access

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: 17

Keyhole Porosity Identification and Localization via X-Ray Imaging With YOLO
Muhammad Ayub Ansari, Andrew Crampton, Simon Parkinson
IEEE Access (2024) Vol. 12, pp. 61049-61061
Open Access | Times Cited: 2

Two deep learning methods in comparison to characterize droplet sizes in emulsification flow processes
Inga Burke, Thajeevan Dhayaparan, Ahmed S. A. Youssef, et al.
Journal of Flow Chemistry (2024)
Open Access | Times Cited: 2

Artificial intelligence and classic methods to segment and characterize spherical objects in micrographs of industrial emulsions
Hanieh Khosravi, Abhijeet H. Thaker, John J. Donovan, et al.
International Journal of Pharmaceutics (2023) Vol. 649, pp. 123633-123633
Open Access | Times Cited: 5

Machine learning-aided investigation of immiscible droplet impact on liquid pools across varying depths and droplet viscosities
Mohammad Autif Shahdhaar, Arpan Srivastava, Atul Srivastava
Experiments in Fluids (2024) Vol. 65, Iss. 3
Closed Access | Times Cited: 1

A Guide to Biodetection in Droplets
Simona Bartkova, Marta Zapotoczna, Immanuel Sanka, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 24, pp. 9745-9755
Open Access | Times Cited: 1

User-friendly analysis of droplet array images
Immanuel Sanka, Simona Bartkova, Pille Pata, et al.
Analytica Chimica Acta (2023) Vol. 1272, pp. 341397-341397
Closed Access | Times Cited: 4

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

Automated detection of patterned single-cells within hydrogel using deep learning
Tanmay Debnath, Ren Hattori, Shunya Okamoto, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 5

Enhancing Microdroplet Image Analysis with Deep Learning
Sofia H. Gelado, César Quilodrán-Casas, Loïc Chagot
Micromachines (2023) Vol. 14, Iss. 10, pp. 1964-1964
Open Access | Times Cited: 2

ASSURED assessment of droplet-based microfluidics: a benchmark for its future development
Daniel Solano, Sergio Camacho-Léon
Microsystem Technologies (2024)
Closed Access

The effect of temperature and dissolved organic components on the film thinning between droplets and bubbles
Martina Piccioli, Dionysia Kouranou, Marcin Dudek, et al.
Chemical Engineering Journal Advances (2024) Vol. 19, pp. 100619-100619
Open Access

An Efficient Approach for Droplet Coalescence Videos Processing based on Instance Segmentation and Multi-Object Tracking Algorithms
Wenle Xu, Shuyuan Zhang, Kai Wang, et al.
Computer-aided chemical engineering/Computer aided chemical engineering (2024), pp. 3001-3006
Closed Access

Application of Computer Vision Techniques to Identify Spray Primary Breakup Structures in High-Speed Flow
Refat Khan Pathan, Wei Lun Lim, Sian Lun Lau, et al.
(2023) Vol. 15, pp. 468-474
Closed Access | Times Cited: 1

Neural networks for classification and segmentation of thermally-induced droplet breakup in spray-flame synthesis
Niklas Jüngst, Veysel Ersoy, Gregory J. Smallwood, et al.
Journal of Aerosol Science (2023) Vol. 176, pp. 106314-106314
Open Access

The Effect of Temperature and Dissolved Organic Components on the Film Thinning between Droplets and Bubbles
Gisle Øye, Martina Piccioli, Dionysia Kouranou, et al.
(2023)
Closed Access

User-friendly analysis of droplet array images
Immanuel Sanka, Simona Bartkova, Pille Pata, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1

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