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:
ALipSol: An Attention-Driven Mixture-of-Experts Model for Lipophilicity and Solubility Prediction
Jialu Wu, Junmei Wang, Zhenhua Wu, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 23, pp. 5975-5987
Closed Access | Times Cited: 8
Jialu Wu, Junmei Wang, Zhenhua Wu, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 23, pp. 5975-5987
Closed Access | Times Cited: 8
Showing 8 citing articles:
Extrapolative prediction of small-data molecular property using quantum mechanics-assisted machine learning
Hajime Shimakawa, Akiko Kumada, Masahiro Sato
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 16
Hajime Shimakawa, Akiko Kumada, Masahiro Sato
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 16
Bridging the Gap between Differential Mobility, Log S, and Log P Using Machine Learning and SHAP Analysis
Cailum Stienstra, Christian Ieritano, Alexander Haack, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 27, pp. 10309-10321
Closed Access | Times Cited: 12
Cailum Stienstra, Christian Ieritano, Alexander Haack, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 27, pp. 10309-10321
Closed Access | Times Cited: 12
Comment on ‘Physics-based representations for machine learning properties of chemical reactions’
Kevin Spiekermann, Thijs Stuyver, Lagnajit Pattanaik, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 4, pp. 048001-048001
Open Access | Times Cited: 10
Kevin Spiekermann, Thijs Stuyver, Lagnajit Pattanaik, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 4, pp. 048001-048001
Open Access | Times Cited: 10
LogD7.4 prediction enhanced by transferring knowledge from chromatographic retention time, microscopic pKa and logP
Yitian Wang, Jiacheng Xiong, Xiao Fu, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 8
Yitian Wang, Jiacheng Xiong, Xiao Fu, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 8
Enhancing Molecular Property Prediction through Task-Oriented Transfer Learning: Integrating Universal Structural Insights and Domain-Specific Knowledge
Yanjing Duan, Xixi Yang, Xiangxiang Zeng, et al.
Journal of Medicinal Chemistry (2024) Vol. 67, Iss. 11, pp. 9575-9586
Closed Access | Times Cited: 1
Yanjing Duan, Xixi Yang, Xiangxiang Zeng, et al.
Journal of Medicinal Chemistry (2024) Vol. 67, Iss. 11, pp. 9575-9586
Closed Access | Times Cited: 1
The blobulator: a webtool for identification and visual exploration of hydrophobic modularity in protein sequences
Connor Pitman, Ezry Santiago-McRae, Ruchi Lohia, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Connor Pitman, Ezry Santiago-McRae, Ruchi Lohia, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Testing the prediction capability of trained models: sildenafil citrate solubility in propylene glycol and 1-propanol mixtures at different temperatures
Abolghasem Jouyban, Fleming Martínez, Homa Rezaei
Physics and Chemistry of Liquids (2024), pp. 1-14
Closed Access
Abolghasem Jouyban, Fleming Martínez, Homa Rezaei
Physics and Chemistry of Liquids (2024), pp. 1-14
Closed Access
Fragment-pair based drug molecule solubility prediction through attention mechanism
Jianping Liu, Xiujuan Lei, Chunyan Ji, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access
Jianping Liu, Xiujuan Lei, Chunyan Ji, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access
