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:
Compression of molecular fingerprints with autoencoder networks
Agnieszka Ilnicka, Gisbert Schneider
Molecular Informatics (2023) Vol. 42, Iss. 6
Open Access | Times Cited: 8
Agnieszka Ilnicka, Gisbert Schneider
Molecular Informatics (2023) Vol. 42, Iss. 6
Open Access | Times Cited: 8
Showing 8 citing articles:
Exploring the artificial intelligence and machine learning models in the context of drug design difficulties and future potential for the pharmaceutical sectors
Periyasamy Natarajan Shiammala, N. Duraimutharasan, Baskaralingam Vaseeharan, et al.
Methods (2023) Vol. 219, pp. 82-94
Closed Access | Times Cited: 17
Periyasamy Natarajan Shiammala, N. Duraimutharasan, Baskaralingam Vaseeharan, et al.
Methods (2023) Vol. 219, pp. 82-94
Closed Access | Times Cited: 17
Pretraining graph transformers with atom-in-a-molecule quantum properties for improved ADMET modeling
Alessio Fallani, Ramil Nugmanov, Jose A. Arjona-Medina, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Alessio Fallani, Ramil Nugmanov, Jose A. Arjona-Medina, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Artificial intelligence and machine learning at various stages and scales of process systems engineering
Karthik K. Srinivasan, Anjana Puliyanda, Devavrat Thosar, et al.
The Canadian Journal of Chemical Engineering (2024) Vol. 103, Iss. 3, pp. 1004-1035
Open Access | Times Cited: 2
Karthik K. Srinivasan, Anjana Puliyanda, Devavrat Thosar, et al.
The Canadian Journal of Chemical Engineering (2024) Vol. 103, Iss. 3, pp. 1004-1035
Open Access | Times Cited: 2
Designing molecules with autoencoder networks
Agnieszka Ilnicka, Gisbert Schneider
Nature Computational Science (2023) Vol. 3, Iss. 11, pp. 922-933
Closed Access | Times Cited: 5
Agnieszka Ilnicka, Gisbert Schneider
Nature Computational Science (2023) Vol. 3, Iss. 11, pp. 922-933
Closed Access | Times Cited: 5
Exploring Optimized Organic Fluorophore Search Through Simple Experimental Data-Driven VAE
Cheng‐Wei Ju, Yuzhi Xu, Yongrui Luo, et al.
(2024)
Open Access | Times Cited: 1
Cheng‐Wei Ju, Yuzhi Xu, Yongrui Luo, et al.
(2024)
Open Access | Times Cited: 1
Exploring Optimized Organic Fluorophore Search Through Simple Experimental Data-Driven VAE
Cheng‐Wei Ju, Yuzhi Xu, Yongrui Luo, et al.
(2024)
Open Access | Times Cited: 1
Cheng‐Wei Ju, Yuzhi Xu, Yongrui Luo, et al.
(2024)
Open Access | Times Cited: 1
Enhancing arsenate removal through interpretable machine learning guiding the modular design of metal–organic frameworks
Zuhong Lin, Hui Cai, Hongjia Peng, et al.
Chemical Engineering Journal (2024) Vol. 497, pp. 155058-155058
Closed Access | Times Cited: 1
Zuhong Lin, Hui Cai, Hongjia Peng, et al.
Chemical Engineering Journal (2024) Vol. 497, pp. 155058-155058
Closed Access | Times Cited: 1
Scikit-fingerprints: Easy and efficient computation of molecular fingerprints in Python
Jakub Adamczyk, Piotr Ludynia
SoftwareX (2024) Vol. 28, pp. 101944-101944
Open Access | Times Cited: 1
Jakub Adamczyk, Piotr Ludynia
SoftwareX (2024) Vol. 28, pp. 101944-101944
Open Access | Times Cited: 1
