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:
Predicting synergistic anticancer drug combination based on low-rank global attention mechanism and bilinear predictor
Yanglan Gan, Xingyu Huang, Wenjing Guo, et al.
Bioinformatics (2023) Vol. 39, Iss. 10
Open Access | Times Cited: 8
Yanglan Gan, Xingyu Huang, Wenjing Guo, et al.
Bioinformatics (2023) Vol. 39, Iss. 10
Open Access | Times Cited: 8
Showing 8 citing articles:
Computational frameworks transform antagonism to synergy in optimizing combination therapies
Jinghong Chen, Anqi Lin, Aimin Jiang, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Jinghong Chen, Anqi Lin, Aimin Jiang, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
SynergyX: a multi-modality mutual attention network for interpretable drug synergy prediction
Yue Guo, Haitao Hu, Wenbo Chen, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 4
Yue Guo, Haitao Hu, Wenbo Chen, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 4
A review on graph neural networks for predicting synergistic drug combinations
Milad Besharatifard, Fatemeh Vafaee
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 3
Milad Besharatifard, Fatemeh Vafaee
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 3
Deep learning for predicting synergistic drug combinations: State‐of‐the‐arts and future directions
Yu Wang, Junjie Wang, Yun Liu
Clinical and Translational Discovery (2024) Vol. 4, Iss. 3
Open Access | Times Cited: 1
Yu Wang, Junjie Wang, Yun Liu
Clinical and Translational Discovery (2024) Vol. 4, Iss. 3
Open Access | Times Cited: 1
A multi-feature and dual-attribute interaction aggregation model for predicting drug-target interactions
Yuandong Liu, Haoqin Yang, Longbo Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 113463-113473
Open Access | Times Cited: 1
Yuandong Liu, Haoqin Yang, Longbo Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 113463-113473
Open Access | Times Cited: 1
Deep Learning-Based Freight Recommendation System for Freight Brokerage Platform
Yangha Kim, Tai‐Woo Chang
Systems (2024) Vol. 12, Iss. 11, pp. 477-477
Open Access
Yangha Kim, Tai‐Woo Chang
Systems (2024) Vol. 12, Iss. 11, pp. 477-477
Open Access
Prospects and Challenges of Deep Learning in Gynaecological Malignancies
Yingfeng Zhang, Liqiong Zeng
(2024)
Closed Access
Yingfeng Zhang, Liqiong Zeng
(2024)
Closed Access
Leveraging Machine Learning to Identify Synergistic Drug Combinations for Effective Cancer Treatment
P. Sujatha, K Saravanan, Mohammed Ali Sohail, et al.
(2023), pp. 321-325
Closed Access
P. Sujatha, K Saravanan, Mohammed Ali Sohail, et al.
(2023), pp. 321-325
Closed Access
