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 predicts electrospray particle size
Fanjin Wang, Moe Elbadawi, Scheilly Liu Tsilova, et al.
Materials & Design (2022) Vol. 219, pp. 110735-110735
Open Access | Times Cited: 25

Showing 25 citing articles:

Zein-based nanoparticles: Preparation, characterization, and pharmaceutical application
Guijin Liu, Dong-Yu An, Junjian Li, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 50

Revolutionizing drug formulation development: The increasing impact of machine learning
Zeqing Bao, Jack Bufton, Riley J. Hickman, et al.
Advanced Drug Delivery Reviews (2023) Vol. 202, pp. 115108-115108
Closed Access | Times Cited: 50

Machine learning using multi-modal data predicts the production of selective laser sintered 3D printed drug products
Youssef Abdalla, Moe Elbadawi, Mengxuan Ji, et al.
International Journal of Pharmaceutics (2023) Vol. 633, pp. 122628-122628
Open Access | Times Cited: 45

The role of artificial intelligence in generating original scientific research
Moe Elbadawi, Hanxiang Li, Abdul W. Basit, et al.
International Journal of Pharmaceutics (2024) Vol. 652, pp. 123741-123741
Open Access | Times Cited: 21

Beyond Lipids: Exploring Advances in Polymeric Gene Delivery in the Lipid Nanoparticles Era
Chinmay M. Jogdeo, Kasturi Siddhanta, Ashish Das, et al.
Advanced Materials (2024) Vol. 36, Iss. 31
Open Access | Times Cited: 12

Artificial intelligence generates novel 3D printing formulations
Moe Elbadawi, Hanxiang Li, Siyuan Sun, et al.
Applied Materials Today (2024) Vol. 36, pp. 102061-102061
Open Access | Times Cited: 11

Electrohydrodynamics and its applications: Recent advances and future perspectives
Kamran Iranshahi, Thijs Defraeye, René M. Rossi, et al.
International Journal of Heat and Mass Transfer (2024) Vol. 232, pp. 125895-125895
Open Access | Times Cited: 5

The Dawn of a New Pharmaceutical Epoch: Can AI and Robotics Reshape Drug Formulation?
Pauric Bannigan, Riley J. Hickman, Alán Aspuru‐Guzik, et al.
Advanced Healthcare Materials (2024) Vol. 13, Iss. 29
Open Access | Times Cited: 5

Prediction of electrohydrodynamic printing behavior using machine learning approaches
Yizhou Lu, James Treadway, Prashant Ghimire, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Open Access

Electroactive Polymers for On‐Demand Drug Release
Manal E. Alkahtani, Moe Elbadawi, Christopher A. R. Chapman, et al.
Advanced Healthcare Materials (2023) Vol. 13, Iss. 3
Open Access | Times Cited: 14

Nanoparticles of Betalain–Gelatin with Antioxidant Properties by Coaxial Electrospraying: Preparation and Characterization
Cielo Estefanía Figueroa-Enríquez, Francisco Rodríguez‐Félix, Maribel Plascencia‐Jatomea, et al.
ACS Omega (2023) Vol. 8, Iss. 44, pp. 41156-41168
Open Access | Times Cited: 10

Highly accurate prediction of viscosity of epoxy resin and diluent at various temperatures utilizing machine learning
Haoke Qiu, Wanchen Zhao, Hanwen Pei, et al.
Polymer (2022) Vol. 256, pp. 125216-125216
Closed Access | Times Cited: 15

Machine Learning‐Informed Predictive Design and Analysis of Electrohydrodynamic Printing Systems
Sachin Kumar Singh, Nikhil Rai, Arunkumar Subramanian
Advanced Engineering Materials (2023) Vol. 25, Iss. 19
Open Access | Times Cited: 7

Machine learning electrospray plume dynamics
McKenna J.D. Breddan, Richard E. Wirz
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108095-108095
Open Access | Times Cited: 1

Machine learning strengthened formulation design of pharmaceutical suspensions
Nadina Zulbeari, Fanjin Wang, Sibel Selyatinova Mustafova, et al.
International Journal of Pharmaceutics (2024), pp. 124967-124967
Open Access | Times Cited: 1

Prediction of formation energy for oxides in ODS steels by machine learning
Tian-Xing Yang, Peng Dou
Materials & Design (2024), pp. 113503-113503
Open Access | Times Cited: 1

Electrospray Thruster Plume Characterization via Physics-Informed Machine Learning
M. Davis, Richard E. Wirz
AIAA SCITECH 2022 Forum (2024)
Closed Access

Tackling Data Scarcity Challenge through Active Learning in Materials Processing with Electrospray
Fanjin Wang, A. H. Harker, Mohan Edirisinghe, et al.
Advanced Intelligent Systems (2024) Vol. 6, Iss. 7
Open Access

Particle Size Analysis using Deep Learning
Saroja Kanchi, Uma Ramabadran, Smaran S Rao
(2024), pp. 1-5
Closed Access

Porous nanofiber/microparticles-structured membrane of polymyxin B modified poly(styrene-random-glycidyl methacrylate) by electrospray for endotoxin removal in blood purification
Te‐Chang Wu, Chih‐Chia Cheng, Chien‐Hsing Lu, et al.
Journal of Membrane Science (2024) Vol. 710, pp. 123142-123142
Closed Access

A supervised machine learning tool to predict the bactericidal efficiency of nanostructured surface
Y.-W. Chen, Hongyi Chen, A. H. Harker, et al.
Journal of Nanobiotechnology (2024) Vol. 22, Iss. 1
Open Access

Electrospray synthesis and in-situ sizing of nanoparticulate CsH 2 PO 4
Áron Varga, A. Downard, Vanessa Evoen, et al.
Aerosol Science and Technology (2023) Vol. 58, Iss. 1, pp. 99-113
Closed Access | Times Cited: 1

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