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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.

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Showing 1-25 of 26 citing articles:

Advances in Artificial Intelligence (AI)-assisted approaches in drug screening
Samvedna Singh, Himanshi Gupta, Priyanshu Sharma, et al.
Artificial Intelligence Chemistry (2023) Vol. 2, Iss. 1, pp. 100039-100039
Open Access | Times Cited: 42
Current strategies to address data scarcity in artificial intelligence-based drug discovery: A comprehensive review
Amit Gangwal, Azim Ansari, Iqrar Ahmad, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108734-108734
Closed Access | Times Cited: 26
Machine Learning for Sequence and Structure-Based Protein–Ligand Interaction Prediction
Yunjiang Zhang, Shuyuan Li, Kong Meng, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 5, pp. 1456-1472
Closed Access | Times Cited: 20
Neural multi-task learning in drug design
Stephan Allenspach, Jan A. Hiss, Gisbert Schneider
Nature Machine Intelligence (2024) Vol. 6, Iss. 2, pp. 124-137
Closed Access | Times Cited: 12
Drug–target affinity prediction with extended graph learning-convolutional networks
Haiou Qi, Ting Yu, Wenwen Yu, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 9
SubMDTA: drug target affinity prediction based on substructure extraction and multi-scale features
Shourun Pan, Leiming Xia, Lei Xu, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 20
Breaking the barriers of data scarcity in drug–target affinity prediction
Qizhi Pei, Lijun Wu, Jinhua Zhu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Closed Access | Times Cited: 17
MMDTA: A Multimodal Deep Model for Drug-Target Affinity with a Hybrid Fusion Strategy
Kai-Yang Zhong, Meng‐Liang Wen, Fanfang Meng, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2878-2888
Closed Access | Times Cited: 14
A comprehensive review of the recent advances on predicting drug-target affinity based on deep learning
Xin Zeng, Shujuan Li, Shuang‐Qing Lv, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 5
Prediction of drug-target binding affinity based on deep learning models
Hao Zhang, Xiaoqian Liu, Wenya Cheng, et al.
Computers in Biology and Medicine (2024) Vol. 174, pp. 108435-108435
Closed Access | Times Cited: 4
MutualDTA: An Interpretable Drug–Target Affinity Prediction Model Leveraging Pretrained Models and Mutual Attention
Yongna Yuan, Siming Chen, Rizhen Hu, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
AI approaches for the discovery and validation of drug targets
Aaron Wenteler, Claudia Cabrera, Wei Wei, et al.
Cambridge Prisms Precision Medicine (2024) Vol. 2
Open Access | Times Cited: 3
Conotoxins: Classification, Prediction, and Future Directions in Bioinformatics
Rui Li, Junwen Yu, Dong-Xin Ye, et al.
Toxins (2025) Vol. 17, Iss. 2, pp. 78-78
Open Access
MDRepo - an open environment for data warehousing and knowledge discovery from molecular dynamics simulations
Amitava Roy, Ethan Ward, Illyoung Choi, et al.
(2024)
Closed Access | Times Cited: 2
A bioactivity foundation model using pairwise meta-learning
Bin Feng, Zequn Liu, Nan-Lan Huang, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 8, pp. 962-974
Open 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
Does protein pretrained language model facilitate the prediction of protein–ligand interaction?
Weihong Zhang, Fan Hu, Li Wang, et al.
Methods (2023) Vol. 219, pp. 8-15
Closed Access | Times Cited: 6
Exploring new horizons: Empowering computer-assisted drug design with few-shot learning
Sabrina Silva Mendonça, Arthur Ricardo Sousa Vitória, Telma Woerle de Lima, et al.
Artificial Intelligence in the Life Sciences (2023) Vol. 4, pp. 100086-100086
Open Access | Times Cited: 6
MDRepo—an open data warehouse for community-contributed molecular dynamics simulations of proteins
Amitava Roy, Ethan Ward, Illyoung Choi, et al.
Nucleic Acids Research (2024) Vol. 53, Iss. D1, pp. D477-D486
Open Access | Times Cited: 1
A Deep Multi-Task Learning Approach for Bioelectrical Signal Analysis
Jishu K. Medhi, Pusheng Ren, Mengsha Hu, et al.
Mathematics (2023) Vol. 11, Iss. 22, pp. 4566-4566
Open Access | Times Cited: 2
AI's role in pharmaceuticals: Assisting drug design from protein interactions to drug development
Solene Bechelli, Jérôme Delhommelle
Artificial Intelligence Chemistry (2023) Vol. 2, Iss. 1, pp. 100038-100038
Open Access | Times Cited: 2
Boosting Multitask Decomposition: Directness, Sequentiality, Subsampling, Cross-Gradients
András Millinghoffer, Mátyás Antal, Márk Marosi, et al.
Lecture notes in computer science (2024), pp. 17-35
Closed Access
Estimating molecular properties, drug-likeness, cardiotoxic risk, liability profile, and molecular docking study to characterize binding process of key phyto-compounds against serotonin 5-HT2A receptor
Mohamed Sabri Bensaad, Devvret Verma, Debasis Mitra, et al.
Open Chemistry (2024) Vol. 22, Iss. 1
Open Access
Multi-task Learning-based Early Warning of Anomalous Risks in International Trade and Economic Data
Rui Li
(2024), pp. 147-152
Closed Access
A 4D tensor-enhanced multi-dimensional convolutional neural network for accurate prediction of protein–ligand binding affinity
Dingfang Huang, Yu Wang, Yiming Sun, et al.
Molecular Diversity (2024)
Closed Access
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