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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:

DeepDelta: predicting ADMET improvements of molecular derivatives with deep learning
Zachary Fralish, Ashley Chen, Paul Skaluba, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 21

Showing 21 citing articles:

The landscape of small-molecule prodrugs
Zachary Fralish, Ashley Chen, Shaharyar M. Khan, et al.
Nature Reviews Drug Discovery (2024) Vol. 23, Iss. 5, pp. 365-380
Closed Access | Times Cited: 21
The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges
Chiranjib Chakraborty, Manojit Bhattacharya, Sang‐Soo Lee, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 3, pp. 102295-102295
Open Access | Times Cited: 8
Revisiting methotrexate and phototrexate Zinc15 library-based derivatives using deep learning in-silico drug design approach
Farhan Siddique, Ahmar Anwaar, Maryam Bashir, et al.
Frontiers in Chemistry (2024) Vol. 12
Open Access | Times Cited: 5
Matched pairs demonstrate robustness against inter-assay variability
Jochem Nelen, Horacio Pérez‐Sánchez, Hans De Winter, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Pairwise Difference Learning for Classification
Mohamed Karim Belaid, Maximilian Rabus, Eyke Hüllermeier
Lecture notes in computer science (2025), pp. 284-299
Closed Access
DyAb: sequence-based antibody design and property prediction in a low-data regime
Joshua Lin, Jennifer L. Hofmann, Andrew Leaver‐Fay, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
AI-Driven Prediction of Drug Activity Against Toxoplasma gondii: Data Augmentation and Deep Neural Networks for Limited Datasets
Natalia V. Karimova, Ravithree D. Senanayake
Artificial Intelligence Chemistry (2025), pp. 100084-100084
Open Access
Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms
Saadiallakh Normatov, Pavel V. Nesterov, Timur A. Aliev, et al.
ACS Omega (2025) Vol. 10, Iss. 6, pp. 5919-5933
Open Access
Elevating Research and Careers in the Development of Safer Drugs through Artificial Intelligence
Alaa Marwan-Abu-Taha
Chemical Research in Toxicology (2025)
Closed Access
Fingerprint-enhanced hierarchical molecular graph neural networks for property prediction
Shuo Liu, Mengyun Chen, Xiaojun Yao, et al.
Journal of Pharmaceutical Analysis (2025), pp. 101242-101242
Open Access
Multitask Deep Learning Models of Combined Industrial Absorption, Distribution, Metabolism, and Excretion Datasets to Improve Generalization
Joseph A. Napoli, Michael Reutlinger, Peter Brandl, et al.
Molecular Pharmaceutics (2025)
Closed Access
Leveraging bounded datapoints to classify molecular potency improvements
Zachary Fralish, Paul Skaluba, Daniel Reker
RSC Medicinal Chemistry (2024) Vol. 15, Iss. 7, pp. 2474-2482
Open Access | Times Cited: 3
Predicting ADMET Properties from Molecule SMILE: A Bottom-Up Approach Using Attention-Based Graph Neural Networks
Alessandro De Carlo, Davide Ronchi, Marco Piastra, et al.
Pharmaceutics (2024) Vol. 16, Iss. 6, pp. 776-776
Open Access | Times Cited: 3
VmmScore: An umami peptide prediction and receptor matching program based on a deep learning approach
Minghao Liu, Jiuliang Yang, Yi He, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108814-108814
Closed Access | Times Cited: 2
Denoising Drug Discovery Data for Improved ADMET Property Prediction
M. Adrian, Yunsie Chung, Alan C. Cheng
(2024)
Open Access | Times Cited: 1
Extrapolation is not the same as interpolation
Yuxuan Wang, Ross D. King
Machine Learning (2024) Vol. 113, Iss. 10, pp. 8205-8232
Open Access | Times Cited: 1
Finding the most potent compounds using active learning on molecular pairs
Zachary Fralish, Daniel Reker
Beilstein Journal of Organic Chemistry (2024) Vol. 20, pp. 2152-2162
Open Access | Times Cited: 1
Theoretical investigations, Molecular Docking, ADMET analysis, Molecular Dynamic Simulation, and Drug-Likeness Scoring of (E)-1-[2-(3,4-Dimethylphenyl) Diazen-2-Ium-1-Yl] Naphthalen-2-Olate as a Corticosteroid Side-Chain-Isomerase Inhibitor
Youcef Megrouss, Souheyla Chetioui, Chafika Farah Kaouche, et al.
Turkish computational and theoretical chemistry/Turkish computational and theoretical chemistry : (2024) Vol. 9, Iss. 3, pp. 57-78
Open Access | Times Cited: 1
Site Identification and Next Choice Protocol for Hit-to-Lead Optimization
Genki Kudo, Takumi Hirao, Ryunosuke Yoshino, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 11, pp. 4475-4484
Open Access
Highly Accurate and Explainable Predictions of Small-Molecule Antioxidants for Eight In Vitro Assays Simultaneously through an Alternating Multitask Learning Strategy
Duancheng Zhao, Yanhong Zhang, Yihao Chen, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access
Denoising Drug Discovery Data for Improved Absorption, Distribution, Metabolism, Excretion, and Toxicity Property Prediction
M. Adrian, Yunsie Chung, Alan C. Cheng
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 16, pp. 6324-6337
Closed Access
Investigation of the FrH+ Alkali Hydride Cation: Analysis of Potential Energies, Dipole Functions, and Radiative Lifetimes
C. Ghanmi, Hamid Berriche
Turkish computational and theoretical chemistry/Turkish computational and theoretical chemistry : (2024) Vol. 9, Iss. 3, pp. 79-88
Open Access
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