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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:

Multi-view self-attention for interpretable drug–target interaction prediction
Brighter Agyemang, Weiping Wu, Michael Y. Kpiebaareh, et al.
Journal of Biomedical Informatics (2020) Vol. 110, pp. 103547-103547
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

MGraphDTA: deep multiscale graph neural network for explainable drug–target binding affinity prediction
Ziduo Yang, Weihe Zhong, Lu Zhao, et al.
Chemical Science (2022) Vol. 13, Iss. 3, pp. 816-833
Open Access | Times Cited: 186
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: 18
A review on compound-protein interaction prediction methods: Data, format, representation and model
Sangsoo Lim, Yijingxiu Lu, Chang Yun Cho, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 1541-1556
Open Access | Times Cited: 90
ML-DTI: Mutual Learning Mechanism for Interpretable Drug–Target Interaction Prediction
Ziduo Yang, Weihe Zhong, Lu Zhao, et al.
The Journal of Physical Chemistry Letters (2021) Vol. 12, Iss. 17, pp. 4247-4261
Closed Access | Times Cited: 72
Modality-DTA: Multimodality Fusion Strategy for Drug–Target Affinity Prediction
Xixi Yang, Zhangming Niu, Yuansheng Liu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 1200-1210
Closed Access | Times Cited: 39
A brief review of protein–ligand interaction prediction
Lingling Zhao, Yan Zhu, Junjie Wang, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 2831-2838
Open Access | Times Cited: 34
Blockchain-secure patient Digital Twin in healthcare using smart contracts
Sandro Amofa, Qi Xia, Hu Xia, et al.
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0286120-e0286120
Open Access | Times Cited: 7
Explainable artificial intelligence: A taxonomy and guidelines for its application to drug discovery
Ignacio Ponzoni, Juan Antonio Páez Prosper, Nuria E. Campillo
Wiley Interdisciplinary Reviews Computational Molecular Science (2023) Vol. 13, Iss. 6
Closed Access | Times Cited: 15
Drug–target interaction prediction based on protein features, using wrapper feature selection
Hengame Abbasi Mesrabadi, Karim Faez, Jamshid Pirgazi
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13
Prediction and integration of metabolite-protein interactions with genome-scale metabolic models
Mahdis Habibpour, Zahra Razaghi‐Moghadam, Zoran Nikoloski
Metabolic Engineering (2024) Vol. 82, pp. 216-224
Open Access | Times Cited: 4
Techniques and Strategies in Drug Design and Discovery
George Mihai Niţulescu
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 3, pp. 1364-1364
Open Access | Times Cited: 4
Biomedical Data and Deep Learning Computational Models for Predicting Compound-Protein Relations
Qichang Zhao, Mengyun Yang, Zhongjian Cheng, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 4, pp. 2092-2110
Closed Access | Times Cited: 25
DeepStack-DTIs: Predicting Drug–Target Interactions Using LightGBM Feature Selection and Deep-Stacked Ensemble Classifier
Yan Zhang, Zhiwen Jiang, Cheng Chen, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 14, Iss. 2, pp. 311-330
Closed Access | Times Cited: 25
Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring
Tri Minh Nguyen, Thin Nguyen, Truyen Tran
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 15
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
DRPO: A deep learning technique for drug response prediction in oncology cell lines
Muhammad Shahzad, Adila Zain Ul Abedin Kadani, Muhammad Atif Tahir, et al.
Alexandria Engineering Journal (2024) Vol. 105, pp. 88-97
Open Access | Times Cited: 2
Self- and cross-attention accurately predicts metabolite–protein interactions
Pedro Alonso Campana, Zoran Nikoloski
NAR Genomics and Bioinformatics (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 6
Deep learning on multi-view sequential data: a survey
Zhuyang Xie, Yan Yang, Shujun Zhang, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 7, pp. 6661-6704
Open Access | Times Cited: 9
DTiGNN: Learning drug-target embedding from a heterogeneous biological network based on a two-level attention-based graph neural network
M. Saranya, Arockia Xavier Annie Rayan, Geetha Thekkumpurath Varrieth
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 5, pp. 9530-9571
Open Access | Times Cited: 4
Machine learning of metabolite–protein interactions from model-derived metabolic phenotypes
Mahdis Habibpour, Zahra Razaghi‐Moghadam, Zoran Nikoloski
NAR Genomics and Bioinformatics (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 1
GNN-PT: Enhanced Prediction of Compound-protein Interactions by Integrating Protein Transformer
Jingtao Wang, Xi Li, Hua Zhang
arXiv (Cornell University) (2020)
Open Access | Times Cited: 11
Deep inverse reinforcement learning for structural evolution of small molecules
Brighter Agyemang, Weiping Wu, Daniel Addo, et al.
Briefings in Bioinformatics (2020)
Open Access | Times Cited: 9
Multi-scaled self-attention for drug–target interaction prediction based on multi-granularity representation
Yuni Zeng, Xiangru Chen, Dezhong Peng, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 6
FOTF-CPI: A compound-protein interaction prediction transformer based on the fusion of optimal transport fragments
Zeyu Yin, Yu Chen, Yajie Hao, et al.
iScience (2023) Vol. 27, Iss. 1, pp. 108756-108756
Open Access | Times Cited: 3
Current status and challenges of model-informed drug discovery and development in China
Yuzhu Wang, Jia Ji, Ye Yao, et al.
Advanced Drug Delivery Reviews (2024) Vol. 214, pp. 115459-115459
Closed Access
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