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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:

Machine learning methods for pKa prediction of small molecules: Advances and challenges
Jialu Wu, Yu Kang, Peichen Pan, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 12, pp. 103372-103372
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

AI for organic and polymer synthesis
Hong Xin, Qi Yang, Kuangbiao Liao, et al.
Science China Chemistry (2024) Vol. 67, Iss. 8, pp. 2461-2496
Closed Access | Times Cited: 5
QupKake: Integrating Machine Learning and Quantum Chemistry for Micro-pKa Predictions
Omri Abarbanel, Geoffrey Hutchison
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 15, pp. 6946-6956
Open Access | Times Cited: 4
Improved GNNs for Log D7.4 Prediction by Transferring Knowledge from Low-Fidelity Data
Yanjing Duan, Li Fu, Xiaochen Zhang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 8, pp. 2345-2359
Closed Access | Times Cited: 11
Bridging Machine Learning and Thermodynamics for Accurate pKa Prediction
Weiliang Luo, Gengmo Zhou, Zhengdan Zhu, et al.
JACS Au (2024) Vol. 4, Iss. 9, pp. 3451-3465
Open Access | Times Cited: 3
Transfer learning graph representations of molecules for pKa, 13C-NMR, and solubility
Amer Marwan El-Samman, Stefano De Castro, Brooke Morton, et al.
Canadian Journal of Chemistry (2024) Vol. 102, Iss. 4, pp. 275-288
Closed Access | Times Cited: 2
Interpretable deep-learning pKa prediction for small molecule drugs via atomic sensitivity analysis
Joseph A. DeCorte, Benjamin P. Brown, Jens Meiler
(2024)
Open Access | Times Cited: 2
AttenGpKa: A Universal Predictor of Solvation Acidity Using Graph Neural Network and Molecular Topology
Hongle An, Xuyang Liu, Wensheng Cai, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5480-5491
Closed Access | Times Cited: 2
An Accurate Approach for Computational pKa Determination of Phenolic Compounds
Silvia Pezzola, Samuele Tarallo, Alessandro Iannini, et al.
Molecules (2022) Vol. 27, Iss. 23, pp. 8590-8590
Open Access | Times Cited: 13
Abraham Model Solute Descriptors for Favipiravir: Case of Tautomeric Equilibrium and Intramolecular Hydrogen-Bond Formation
Emily J. Yao, William E. Acree
Thermo (2023) Vol. 3, Iss. 3, pp. 443-451
Open Access | Times Cited: 5
Explainable Graph Neural Networks with Data Augmentation for Predicting pKa of C–H Acids
Hongle An, Xuyang Liu, Wensheng Cai, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2383-2392
Closed Access | Times Cited: 5
Dissociation constants of relevant secondary organic aerosol components in the atmosphere
Agata Kołodziejczyk, Aleksandra Wróblewska, Mariusz Pietrzak, et al.
Chemosphere (2024) Vol. 351, pp. 141166-141166
Open Access | Times Cited: 1
Investigating experimental vs. Predicted pKa values for PET radiotracer
Sarah Luise Stellnberger, Richard A. Harvey, Verena Schwingenschlögl-Maisetschläger, et al.
European Journal of Pharmaceutics and Biopharmaceutics (2024) Vol. 203, pp. 114430-114430
Open Access | Times Cited: 1
GR-pKa: a message-passing neural network with retention mechanism for pKa prediction.
Runyu Miao, Danlin Liu, Liyun Mao, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 1
Transfer Learning Graph Representations of Molecules for pKa, 13C-NMR, and Solubility
Amer Marwan El Samman, Stefano De Castro, Brooke Morton, et al.
(2023)
Open Access | Times Cited: 2
Critical Assessment of pH‐Dependent Lipophilicity Profiles of Small Molecules: Which One Should We Use and In Which Cases?
E. Bertsch, Sebastián Suñer, Silvana Pinheiro, et al.
ChemPhysChem (2023) Vol. 24, Iss. 24
Closed Access | Times Cited: 2
Leveraging DFT and Molecular Fragmentation for Chemically Accurate pKa Prediction Using Machine Learning
Alec J. Sanchez, Sarah Maier, Krishnan Raghavachari
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 712-723
Closed Access
Caught between a ROCK and a hard place: current challenges in structure-based drug design
Daniele Pala, David E. Clark
Drug Discovery Today (2024) Vol. 29, Iss. 9, pp. 104106-104106
Closed Access
Graph transformer based transfer learning for aqueous pK prediction of organic small molecules
Yuxin Qiu, Jiahui Chen, Kunchi Xie, et al.
Chemical Engineering Science (2024) Vol. 300, pp. 120559-120559
Closed Access
The molecular features of non-peptidic nucleophilic substrates and acceptor proteins determine the efficiency of sortagging†
Tetiana Bondarchuk, E Zhuravel, Oleh Shyshlyk, et al.
RSC Chemical Biology (2024)
Open Access
In Silico Prediction of pKa Values Using Explainable Deep Learning Methods
Yang Chen, Changda Gong, Zhi-xing Zhang, et al.
Journal of Pharmaceutical Analysis (2024), pp. 101174-101174
Open Access
Interpretable Deep-Learning pKa Prediction for Small Molecule Drugs via Atomic Sensitivity Analysis
Joseph A. DeCorte, Benjamin P. Brown, R. Brooke Jeffrey, et al.
Journal of Chemical Information and Modeling (2024) Vol. 65, Iss. 1, pp. 101-113
Open Access
Development and assessment of a ChemInformatics model for accurate pKa prediction in aqueous medium
Alec J. Sanchez, Krishnan Raghavachari
Theoretical Chemistry Accounts (2023) Vol. 142, Iss. 9
Closed Access | Times Cited: 1
QSAR modeling based on graph neural networks
Haobo Wang, Wenjia Liu, Jingwen Chen
Elsevier eBooks (2023), pp. 139-151
Closed Access | Times Cited: 1
Uni-pKa: An Accurate and Physically Consistent pKa Prediction through Protonation Ensemble Modeling
Weiliang Luo, Gengmo Zhou, Zhengdan Zhu, et al.
(2023)
Open Access | Times Cited: 1
Transfer Learning Graph Representations of Molecules for pKa, 13C-NMR, and Solubility
Amer Marwan El Samman, Stefano De Castro, Brooke Morton, et al.
(2023)
Open Access | Times Cited: 1
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