
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:
MMCL-CDR: enhancing cancer drug response prediction with multi-omics and morphology images contrastive representation learning
Yang Li, Zihou Guo, Xin Gao, et al.
Bioinformatics (2023) Vol. 39, Iss. 12
Open Access | Times Cited: 3
Yang Li, Zihou Guo, Xin Gao, et al.
Bioinformatics (2023) Vol. 39, Iss. 12
Open Access | Times Cited: 3
Showing 3 citing articles:
A Comprehensive Review of Various Machine Learning and Deep Learning Models for Anti-Cancer Drug Response Prediction: Comparative Analysis With Existing State of the Art Methods
Davinder Paul Singh, Prabhjot Kour, Tathagat Banerjee, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
Davinder Paul Singh, Prabhjot Kour, Tathagat Banerjee, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
The specification game: rethinking the evaluation of drug response prediction for precision oncology
Francesco Codicè, Corrado Pancotti, Cesare Rollo, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Francesco Codicè, Corrado Pancotti, Cesare Rollo, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
DAPM-CDR: A domain adaptation prompting model for drug response prediction
Youhan Sun, Guanyu Qiao, Bo Gao, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 316-324
Closed Access
Youhan Sun, Guanyu Qiao, Bo Gao, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 316-324
Closed Access