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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:

UnbiasedDTI: Mitigating Real-World Bias of Drug-Target Interaction Prediction by Using Deep Ensemble-Balanced Learning
Aida Tayebi, Niloofar Yousefi, Mehdi Yazdani-Jahromi, et al.
Molecules (2022) Vol. 27, Iss. 9, pp. 2980-2980
Open Access | Times Cited: 13

Showing 13 citing articles:

CCL-DTI: contributing the contrastive loss in drug–target interaction prediction
Alireza Dehghan, Karim Abbasi, Parvin Razzaghi, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 33
DeepBindGCN: Integrating Molecular Vector Representation with Graph Convolutional Neural Networks for Protein–Ligand Interaction Prediction
Haiping Zhang, Konda Mani Saravanan, John Z. H. Zhang
Molecules (2023) Vol. 28, Iss. 12, pp. 4691-4691
Open Access | Times Cited: 14
Comparative Studies on Resampling Techniques in Machine Learning and Deep Learning Models for Drug-Target Interaction Prediction
Azwaar Khan Azlim Khan, Nurul Hashimah Ahamed Hassain Malim
Molecules (2023) Vol. 28, Iss. 4, pp. 1663-1663
Open Access | Times Cited: 12
Identifying potential drug-target interactions based on ensemble deep learning
Liqian Zhou, Yuzhuang Wang, Lihong Peng, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 7
Application of artificial intelligence and machine learning in drug repurposing
Sudhir Ghandikota, Anil G. Jegga
Progress in molecular biology and translational science (2024), pp. 171-211
Closed Access | Times Cited: 2
Applications of Deep Learning for Drug Discovery Systems with BigData
Yasunari Matsuzaka, Ryu Yashiro
BioMedInformatics (2022) Vol. 2, Iss. 4, pp. 603-624
Open Access | Times Cited: 11
Artificial Intelligence in Drug Identification and Validation: A Scoping Review
Mukhtar Lawal Abubakar, Neha Kapoor, Asha Sharma, et al.
Drug Research (2024) Vol. 74, Iss. 05, pp. 208-219
Closed Access | Times Cited: 1
PHCDTI: A multichannel parallel high-order feature crossover model for DTIs prediction
Yuqing Ye, Xiao Zhang, Menglin Kong, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124873-124873
Closed Access | Times Cited: 1
Predicting Endocrine Disruption Using Conformal Prediction – A Prioritization Strategy to Identify Hazardous Chemicals with Confidence
Maria Sapounidou, Ulf Norinder, Patrik L. Andersson
Chemical Research in Toxicology (2022) Vol. 36, Iss. 1, pp. 53-65
Open Access | Times Cited: 7
Multi source deep learning method for drug-protein interaction prediction using k-mers and chaos game representation
Hengame Abbasi Mesrabadi, Karim Faez, Jamshid Pirgazi
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 246, pp. 105065-105065
Closed Access
Improving Fairness via Deep Ensemble Framework Using Preprocessing Interventions
Aida Tayebi, Özlem Özmen Garibay
Lecture notes in computer science (2023), pp. 477-489
Closed Access
BindingSiteAugmentedDTA: Enabling A Next-Generation Pipeline for Interpretable Prediction Models in Drug-Repurposing
Niloofar Yousefi, Mehdi Yazdani-Jahromi, Aida Tayebi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access
Drug-target interaction prediction using high order nonlinear features via neural factorization machines
Quan Qian, Yuan Zhu
Journal of Physics Conference Series (2022) Vol. 2400, Iss. 1, pp. 012017-012017
Open Access
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