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 26-50 of 42 citing articles:

Deep learning algorithms for imaging gliomas for diagnosis, prognosis and treatment strategies predictions
Anand Kumar Pandey, Shalja Verma
Elsevier eBooks (2024), pp. 211-231
Closed Access

Deep‐Learning‐Assisted Affinity Classification for Humoral Immunoprotein Complexes
Bahar Dadfar, Safoura Vaez, Cristian Haret, et al.
Small Structures (2024)
Open Access

Machine learning in oncological pharmacogenomics: advancing personalized chemotherapy
Çıgır Biray Avci, Bakiye Göker Bağca, Behrouz Shademan, et al.
Functional & Integrative Genomics (2024) Vol. 24, Iss. 5
Closed Access

MuSE: A Deep Learning Model based on Multi-Feature Fusion for Super-Enhancer Prediction
Wenying He, Hanxun Zhou, Yuhua Zuo, et al.
Computational Biology and Chemistry (2024) Vol. 113, pp. 108282-108282
Closed Access

A Novel Defibrillator-Specific Coprocessor Capable of Running Entropy and CNN Integration Algorithms
Xuelong Wang, Peng Xia, Changjiang Zhou, et al.
Journal of Biosciences and Medicines (2024) Vol. 12, Iss. 11, pp. 310-322
Open Access

Metabolomics-Driven Prediction of Vegetable Food Metabolite Patterns: Advances in Machine Learning Approaches
Eman Shawky, Wei Zhu, Jingkui Tian, et al.
Food Reviews International (2024), pp. 1-30
Closed Access

Neural architectures for genomic understanding: Deep dive into epigenome and chromatin structure
C.P. Bhargavi, Saurabh Chandan, S Bhavana, et al.
Elsevier eBooks (2024), pp. 131-150
Closed Access

Molecular Docking: State-of-the-Art Scoring Functions and Search Algorithms
Rafaela Molina de Angelo, Daniel S. de Sousa, Aldineia P. da Silva, et al.
(2024), pp. 163-198
Closed Access

Label-Free CD34+ Cell Identification Using Deep Learning and Lens-Free Shadow Imaging Technology
Minyoung Baik, Sang-Hoon Shin, Samir Kumar, et al.
Biosensors (2023) Vol. 13, Iss. 12, pp. 993-993
Open Access | Times Cited: 1

Deep Machine Learning for Acoustic Inspection of Metallic Medium
Brittney Jarreau, Sanichiro Yoshida, Emily Laprime
Vibration (2022) Vol. 5, Iss. 3, pp. 530-556
Open Access | Times Cited: 2

Machine learning algorithms in spatiotemporal gait analysis can identify patients with Parkinson’s disease
Peter Fernando, M. S. Pannu, Pragadesh Natarajan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

Advancing Diabetic Retinopathy Diagnosis: Leveraging Optical Coherence Tomography Imaging with Convolutional Neural Networks
Kamil Yavuzer, Mehmet Çıtırık, Beyza Yavuzer
Romanian Journal of Ophthalmology (2023) Vol. 67, Iss. 4
Open Access

A framework for predicting lncRNAs expression in human dendritic cells in response to M. tuberculosis infection
Faizah Aplop, Saharuddin B. Mohamad
Bulletin of Electrical Engineering and Informatics (2022) Vol. 12, Iss. 2, pp. 1041-1046
Open Access

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