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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:

Comprehensive Survey of Recent Drug Discovery Using Deep Learning
Jintae Kim, Sera Park, Dongbo Min, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 18, pp. 9983-9983
Open Access | Times Cited: 95

Showing 26-50 of 95 citing articles:

Modular Multi–Source Prediction of Drug Side–Effects With DruGNN
Pietro Bongini, Franco Scarselli, Monica Bianchini, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 1211-1220
Open Access | Times Cited: 19
Drug repurposing in silico screening platforms
Jonathan G. L. Mullins
Biochemical Society Transactions (2022) Vol. 50, Iss. 2, pp. 747-758
Closed Access | Times Cited: 18
rAAV Manufacturing: The Challenges of Soft Sensing during Upstream Processing
Cristovão Freitas Iglesias, Miliça Ristovski, Miodrag Bolić, et al.
Bioengineering (2023) Vol. 10, Iss. 2, pp. 229-229
Open Access | Times Cited: 11
The Role of Artificial Intelligence in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review
Mohammad Madani, Mohammad Mahdi Behzadi, Sheida Nabavi
(2022)
Open Access | Times Cited: 15
Comprehensive survey of target prediction web servers for Traditional Chinese Medicine
Xia Ren, Chun-Xiao Yan, Run-Xiang Zhai, et al.
Heliyon (2023) Vol. 9, Iss. 8, pp. e19151-e19151
Open Access | Times Cited: 9
Deep Learning Based Methods for Molecular Similarity Searching: A Systematic Review
Maged Nasser, Umi Kalsom Yusof, Naomie Salim
Processes (2023) Vol. 11, Iss. 5, pp. 1340-1340
Open Access | Times Cited: 8
Composite Graph Neural Networks for Molecular Property Prediction
Pietro Bongini, Niccolò Pancino, Asma Bendjeddou, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 12, pp. 6583-6583
Open Access | Times Cited: 2
Breakthroughs in AI and Multi-Omics for Cancer Drug Discovery: A Review
Israr Fatima, Abdur Rehman, Yanheng Ding, et al.
European Journal of Medicinal Chemistry (2024) Vol. 280, pp. 116925-116925
Closed Access | Times Cited: 2
Ligand Binding Prediction Using Protein Structure Graphs and Residual Graph Attention Networks
Mohit Pandey, Mariia Radaeva, Hazem Mslati, et al.
Molecules (2022) Vol. 27, Iss. 16, pp. 5114-5114
Open Access | Times Cited: 13
Deep Learning Methods Applied to Drug Concentration Prediction of Olanzapine
Richard Darien Khusial, Robert R. Bies, Ayman Akil
Pharmaceutics (2023) Vol. 15, Iss. 4, pp. 1139-1139
Open Access | Times Cited: 7
Deep learning-based network pharmacology for exploring the mechanism of licorice for the treatment of COVID-19
Yu Fu, Yangyue Fang, Shuai Gong, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
3Delectron diffraction for structure determination of small‐molecule nanocrystals: A possible breakthrough for the pharmaceutical industry
Iryna Andrusenko, Mauro Gemmi
Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology (2022) Vol. 14, Iss. 5
Open Access | Times Cited: 12
Deep-learning based approach to identify substrates of human E3 ubiquitin ligases and deubiquitinases
Yixuan Shu, Yanru Hai, Lihua Cao, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 1014-1021
Open Access | Times Cited: 6
BEAR: A Novel Virtual Screening Method Based on Large-Scale Bioactivity Data
Yeajee Kwon, Sera Park, Jaeok Lee, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 5, pp. 1429-1437
Closed Access | Times Cited: 6
Drug-target interaction prediction based on spatial consistency constraint and graph convolutional autoencoder
Peng Chen, Haoran Zheng
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6
Integrative analysis of chemical properties and functions of drugs for adverse drug reaction prediction based on multi-label deep neural network
Pranab Jyoti Das, Yogita Thakran, Vipin Pal
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (2022) Vol. 19, Iss. 3
Open Access | Times Cited: 10
DAPTEV: Deep aptamer evolutionary modelling for COVID-19 drug design
Cameron Andress, Kalli Kappel, Marcus Elbert Villena, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 7, pp. e1010774-e1010774
Open Access | Times Cited: 5
Deep learning algorithms applied to computational chemistry
Abimael Guzman‐Pando, Graciela Ramírez-Alonso, Carlos Arzate-Quintana, et al.
Molecular Diversity (2023) Vol. 28, Iss. 4, pp. 2375-2410
Closed Access | Times Cited: 5
Drug-Target Interactions Prediction at Scale: the Komet Algorithm with the LCIdb Dataset
Gwenn Guichaoua, Philippe Pinel, Brice Hoffmann, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Integrating Transformers and Many-Objective Optimization for Cancer Drug Design
Nicholas Aksamit, Jinqiang Hou, Yifeng Li, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Molecular Design Based on Integer Programming and Splitting Data Sets by Hyperplanes
Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 5, pp. 1529-1541
Open Access | Times Cited: 1
The Millennia-Long Development of Drugs Associated with the 80-Year-Old Artificial Intelligence Story: The Therapeutic Big Bang?
Aurore Crouzet, Nicolas G. Lopez, Benjamin Riss Yaw, et al.
Molecules (2024) Vol. 29, Iss. 12, pp. 2716-2716
Open Access | Times Cited: 1
Integrating transformers and many-objective optimization for drug design
Nicholas Aksamit, Jinqiang Hou, Yifeng Li, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Deep Learning in Bioinformatics
A.G. Cioletti, Frederico Chaves Carvalho, Lucas Moraes dos Santos, et al.
Advances in bioinformatics and biomedical engineering book series (2024), pp. 137-168
Closed Access | Times Cited: 1
Rapid Traversal of Ultralarge Chemical Space using Machine Learning Guided Docking Screens
Andreas Luttens, Israel Cabeza de Vaca, Leonard Sparring, et al.
(2023)
Open Access | Times Cited: 4

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