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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:

State-of-the-Art Review of Artificial Neural Networks to Predict, Characterize and Optimize Pharmaceutical Formulation
Shan Wang, Jinwei Di, Dan Wang, et al.
Pharmaceutics (2022) Vol. 14, Iss. 1, pp. 183-183
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Utilizing machine learning for predicting drug release from polymeric drug delivery systems
Sareh Aghajanpour, Hamid Amiriara, Mehdi Esfandyari‐Manesh, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109756-109756
Open Access | Times Cited: 2
Artificial Intelligence's Impact on Drug Discovery and Development From Bench to Bedside
K S Vidhya, Ayesha Sultana, Naveen Kumar M, et al.
Cureus (2023)
Open Access | Times Cited: 36
The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review
Phuvamin Suriyaamporn, Boonnada Pamornpathomkul, Prasopchai Patrojanasophon, et al.
AAPS PharmSciTech (2024) Vol. 25, Iss. 6
Closed Access | Times Cited: 12
Machine Learning and Artificial Intelligence: A Paradigm Shift in Big Data-Driven Drug Design and Discovery
Purvashi Pasrija, Prakash Jha, Pruthvi Upadhyaya, et al.
Current Topics in Medicinal Chemistry (2022) Vol. 22, Iss. 20, pp. 1692-1727
Closed Access | Times Cited: 36
Comparison of the Performance of Machine Learning Techniques in the Prediction of Employee
Jide Kehinde Adeniyi, Abidemi Emmanuel Adeniyi, Yetunde J. Oguns, et al.
ParadigmPlus (2022) Vol. 3, Iss. 3, pp. 1-15
Open Access | Times Cited: 24
Interpretable artificial neural networks for retrospective QbD of pharmaceutical tablet manufacturing based on a pilot-scale developmental dataset
Brigitta Nagy, Ágnes Szabados-Nacsa, Gergő Fülöp, et al.
International Journal of Pharmaceutics (2023) Vol. 633, pp. 122620-122620
Open Access | Times Cited: 16
Data-Driven Modeling Methods and Techniques for Pharmaceutical Processes
Yachao Dong, Ting Yang, Yafeng Xing, et al.
Processes (2023) Vol. 11, Iss. 7, pp. 2096-2096
Open Access | Times Cited: 13
Long-term power forecasting of photovoltaic plants using artificial neural networks
Antonio Rivero-Cacho, Gonzalo Sánchez‐Barroso, Jaime González‐Domínguez, et al.
Energy Reports (2024) Vol. 12, pp. 2855-2864
Open Access | Times Cited: 6
Optimization of hydrochar production from almond shells using response surface methodology, artificial neural network, support vector machine and XGBoost
Faiçal El Ouadrhiri, Abderrazzak Adachi, Imane Mehdaoui, et al.
Desalination and Water Treatment (2024) Vol. 317, pp. 100154-100154
Open Access | Times Cited: 5
A quality by design approach in oral extended release drug delivery systems: where we are and where we are going?
Ana S. Sousa, J. Serra, C. Estevens, et al.
Journal of Pharmaceutical Investigation (2022) Vol. 53, Iss. 2, pp. 269-306
Closed Access | Times Cited: 20
What is the current state of artificial intelligence applications in dentistry and orthodontics?
Paul Fawaz, Patrick El Sayegh, Bart Vande Vannet
Journal of Stomatology Oral and Maxillofacial Surgery (2023) Vol. 124, Iss. 5, pp. 101524-101524
Open Access | Times Cited: 11
Model-Informed Drug Development: In Silico Assessment of Drug Bioperformance following Oral and Percutaneous Administration
Jelena Djuriš, Sandra Cvijić, Ljiljana Djekić
Pharmaceuticals (2024) Vol. 17, Iss. 2, pp. 177-177
Open Access | Times Cited: 4
Enhanced predictive optimization of methane dry reforming via ResponseSurface methodology and artificial neural network approaches: Insights using a novel nickel-strontium-zirconium-aluminum catalyst
Tahani S. Gendy, Radwa A. El‐Salamony, Maher M. Alrashed, et al.
Molecular Catalysis (2024) Vol. 562, pp. 114216-114216
Open Access | Times Cited: 4
Machine learning models predicting risk of revision or secondary knee injury after anterior cruciate ligament reconstruction demonstrate variable discriminatory and accuracy performance: a systematic review
Benjamin Blackman, Prushoth Vivekanantha, Romana Mughal, et al.
BMC Musculoskeletal Disorders (2025) Vol. 26, Iss. 1
Open Access
Machine learning-assisted design and prediction of materials for batteries based on alkali metals
Ke Si, Zhipeng Sun, Huaxin Song, et al.
Physical Chemistry Chemical Physics (2025)
Closed Access
StackBRAF: A Large-Scale Stacking Ensemble Learning for BRAF Affinity Prediction
Nur Fadhilah Syahid, Natthida Weerapreeyakul, Tarapong Srisongkram
ACS Omega (2023) Vol. 8, Iss. 23, pp. 20881-20891
Open Access | Times Cited: 10
Diclofenac derivatives as promising anticancer and anti-inflammatory drug: Synthesis, formulations, and pharmacokinetics
Arwa Alshargabi
Journal of Drug Delivery Science and Technology (2024) Vol. 95, pp. 105544-105544
Closed Access | Times Cited: 3
ENHANCING QUALITY-BY-DESIGN THROUGH WEIGHTED GOAL PROGRAMMING: A CASE STUDY ON FORMULATION OF ULTRADEFORMABLE LIPOSOMES
Sonia Valverde Cabeza, Pedro Luis González Rodríguez, Marı́a Luisa González-Rodrı́guez
Drug Development and Industrial Pharmacy (2025), pp. 1-28
Closed Access
BRAFPred: A Novel Approach for Accurate Prediction of the B-Type Rapidly Accelerated Fibrosarcoma Inhibitor
Ming Zhang, Chaoming Zhang, Keyu Liu, et al.
ACS Omega (2025)
Open Access
Machine Learning Algorithms for Applications in Materials Science II
Ayushi Ayushi, Neeraj Tiwari, Terry-Elinor Reid, et al.
Challenges and advances in computational chemistry and physics (2025), pp. 215-238
Closed Access
Impact of AI on drug delivery and pharmacokinetics: The present scenario and future prospects
Jigna B. Prajapati, Himanshu Paliwal, Surovi Saikia, et al.
Elsevier eBooks (2023), pp. 443-465
Closed Access | Times Cited: 7
Empowering Smart Cities: SARIMA Forecasting of Power Consumption in Tetouan's Urban Grid
Mouad Bensalah, Abdellatif Haïr
(2024), pp. 1-6
Closed Access | Times Cited: 2
A new insight into the mechanism of loading of Granisetron, Naltrexone and Risperidone in poly(ortho ester) and poly lactic-co-glycolic acid as the controlled release drug delivery systems using a computational molecular approach
Leila Karami, Neda Fayyazi, Mahmood Akbari, et al.
Journal of Drug Delivery Science and Technology (2024) Vol. 102, pp. 106377-106377
Closed Access | Times Cited: 2
Application of different models to evaluate the key factors of fluidized bed layering granulation and their influence on granule characteristics
Ravi Maharjan, Seong Hoon Jeong
Powder Technology (2022) Vol. 408, pp. 117737-117737
Closed Access | Times Cited: 10
Applications of Deep Learning to Neurodevelopment in Pediatric Imaging: Achievements and Challenges
Mengjiao Hu, Cosimo Nardi, Haihong Zhang, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2302-2302
Open Access | Times Cited: 6
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