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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:

Convolutional neural networks (CNNs): concepts and applications in pharmacogenomics
Joel Markus Vaz, S. Balaji
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1569-1584
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Machine Learning Methods for Small Data Challenges in Molecular Science
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8736-8780
Open Access | Times Cited: 157
Advancements in Oncology with Artificial Intelligence—A Review Article
Nikitha Vobugari, Vikranth Raja, Udhav Sethi, et al.
Cancers (2022) Vol. 14, Iss. 5, pp. 1349-1349
Open Access | Times Cited: 54
Artificial intelligence and heart failure: A state‐of‐the‐art review
Muhammad Shahzeb Khan, Muhammad Sameer Arshad, Stephen J. Greene, et al.
European Journal of Heart Failure (2023) Vol. 25, Iss. 9, pp. 1507-1525
Closed Access | Times Cited: 29
Artificial Intelligence in Drug Discovery and Development
Kit‐Kay Mak, Yi-Hang Wong, Mallikarjuna Rao Pichika
Springer eBooks (2023), pp. 1-38
Closed Access | Times Cited: 29
Machine learning for predicting fatigue properties of additively manufactured materials
Min Yi, Ming Xue, Peihong Cong, et al.
Chinese Journal of Aeronautics (2023) Vol. 37, Iss. 4, pp. 1-22
Open Access | Times Cited: 23
Artificial Intelligence in Drug Discovery and Development
Kit‐Kay Mak, Yi-Hang Wong, Mallikarjuna Rao Pichika
Springer eBooks (2024), pp. 1461-1498
Closed Access | Times Cited: 5
Diagnosis and detection of bone fracture in radiographic images using deep learning approaches
Theyazn H. H. Aldhyani, Zeyad A. T. Ahmed, Bayan M. Alsharbi, et al.
Frontiers in Medicine (2025) Vol. 11
Open Access
Deep learning: A game changer in drug design and development
Sushanta Kumar Das, Rahul Mishra, Amit Samanta, et al.
Advances in pharmacology (2025)
Closed Access
The Diagnostic Classification of the Pathological Image Using Computer Vision
Yasunari Matsuzaka, Ryu Yashiro
Algorithms (2025) Vol. 18, Iss. 2, pp. 96-96
Open Access
Bone Osteoporosis Fractures Detection with Deep Learning: An X-ray Image Analysis Approach
Md. Habibullah Belali, Ferdus Rhaman Khan, Nur Mohammed Rajin, et al.
Deleted Journal (2025)
Closed Access
Accuracy of artificial intelligence-based segmentation in maxillofacial structures: a systematic review
Manea Musa Al-Ahmari, Maram A. Alahmari, Abdulmajeed Almuaddi, et al.
BMC Oral Health (2025) Vol. 25, Iss. 1
Open Access
A Deep Learning Model of Radio Wave Propagation for Precision Agriculture and Sensor System in Greenhouses
Dora Cama-Pinto, Miguel Damas, Juan A. Holgado-Terriza, et al.
Agronomy (2023) Vol. 13, Iss. 1, pp. 244-244
Open Access | Times Cited: 13
RobU-Net: a heuristic robust multi-class brain tumor segmentation approaches for MRI scans
Shahzad Ahmad Qureshi, Qurat-ul-ain Chaudhary, Romana Schirhagl, et al.
Waves in Random and Complex Media (2024), pp. 1-51
Closed Access | Times Cited: 3
Artificial Intelligence in Pathomics and Genomics of Renal Cell Carcinoma
J Knudsen, Joseph M. Rich, Runzhuo Ma
Urologic Clinics of North America (2023) Vol. 51, Iss. 1, pp. 47-62
Closed Access | Times Cited: 8
Artificial Intelligence-Based Applications for Bone Fracture Detection Using Medical Images: A Systematic Review
Mohammed Kutbi
Diagnostics (2024) Vol. 14, Iss. 17, pp. 1879-1879
Open Access | Times Cited: 2
人工智能预测正畸面部变化的研究进展和准确度:概况性系统综述
Jiajun Zhu, Yuxin Yang, Hai Ming Wong
Journal of Zhejiang University SCIENCE B (2023) Vol. 24, Iss. 11, pp. 974-984
Open Access | Times Cited: 6
Performance Comparisons of AlexNet and GoogLeNet in Cell Growth Inhibition IC50 Prediction
Yeeun Lee, Seungyoon Nam
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 14, pp. 7721-7721
Open Access | Times Cited: 14
Assessment of Deep Learning Models for Cutaneous Leishmania Parasite Diagnosis Using Microscopic Images
Ali Mansour Abdul Hafid ABDELMULA, Omid Mırzaeı, Emrah Güler, et al.
Diagnostics (2023) Vol. 14, Iss. 1, pp. 12-12
Open Access | Times Cited: 5
Convolutional Neural Network (CNN): The architecture and applications
Joshua Ayobami Ayeni
Applied Journal of Physical Science (2022) Vol. 4, Iss. 4, pp. 42-50
Open Access | Times Cited: 9
An Innovative Inducer of Platelet Production, Isochlorogenic Acid A, Is Uncovered through the Application of Deep Neural Networks
Taian Yi, Jiesi Luo, Ruixue Liao, et al.
Biomolecules (2024) Vol. 14, Iss. 3, pp. 267-267
Open Access | Times Cited: 1
3D Convolutional Neural Networks for Predicting Protein Structure for Improved Drug Recommendation
Pokkuluri Kiran Sree, S. S. S. N. Usha Devi N.
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 1
Artificial Intelligence in Newborn Medicine
Thierry A.G.M. Huisman, Thierry A.G.M. Huisman
Newborn (2024) Vol. 3, Iss. 2, pp. 96-110
Open Access | Times Cited: 1
Dermoscopic Images Classification Using Pretrained VGG-16 and ResNet-50 Models
Sirine Mejri, Afef Elloumi Oueslati
(2024), pp. 342-347
Closed Access | Times Cited: 1
Artificial intelligence, medications, pharmacogenomics, and ethics
Susanne B. Haga
Pharmacogenomics (2024), pp. 1-12
Closed Access | Times Cited: 1
Uncovering the secrets of resistance: An introduction to computational methods in infectious disease research
Aditya K. Padhi, Shweata Maurya
Advances in protein chemistry and structural biology (2024), pp. 173-220
Closed Access
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