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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:

HyperAttentionDTI: improving drug–protein interaction prediction by sequence-based deep learning with attention mechanism
Qichang Zhao, Haochen Zhao, Kai Zheng, et al.
Bioinformatics (2021) Vol. 38, Iss. 3, pp. 655-662
Closed Access | Times Cited: 108

Showing 26-50 of 108 citing articles:

Neuromorphic computing for modeling neurological and psychiatric disorders: implications for drug development
Amisha S. Raikar, J.H. Andrew, Pranjali Prabhu Dessai, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 4
Flexible drug-target interaction prediction with interactive information extraction and trade-off
Yunfei He, Chenyuan Sun, Li Meng, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123821-123821
Closed Access | Times Cited: 3
CAT-DTI: cross-attention and Transformer network with domain adaptation for drug-target interaction prediction
Xiaoting Zeng, Weilin Chen, Baiying Lei
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3
Hierarchical multimodal self-attention-based graph neural network for DTI prediction
Jilong Bian, Hao Lu, Guanghui Dong, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 3
DoubleSG-DTA: Deep Learning for Drug Discovery: Case Study on the Non-Small Cell Lung Cancer with EGFRT790M Mutation
Yongtao Qian, Wanxing Ni, Xingxing Xianyu, et al.
Pharmaceutics (2023) Vol. 15, Iss. 2, pp. 675-675
Open Access | Times Cited: 9
ArkDTA: attention regularization guided by non-covalent interactions for explainable drug–target binding affinity prediction
Mogan Gim, Junseok Choe, Seungheun Baek, et al.
Bioinformatics (2023) Vol. 39, Iss. Supplement_1, pp. i448-i457
Open Access | Times Cited: 9
Identifying the serious clinical outcomes of adverse reactions to drugs by a multi-task deep learning framework
Haochen Zhao, Peng Ni, Qichang Zhao, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 8
TAG-DTA: Binding-region-guided strategy to predict drug-target affinity using transformers
Nelson R. C. Monteiro, José Luís Oliveira, Joel P. Arrais
Expert Systems with Applications (2023) Vol. 238, pp. 122334-122334
Open Access | Times Cited: 8
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
MASMDDI: multi-layer adaptive soft-mask graph neural network for drug-drug interaction prediction
Junpeng Lin, Binsheng Hong, Zhongqi Cai, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 2
Generative design of compounds with desired potency from target protein sequences using a multimodal biochemical language model
Hengwei Chen, Jürgen Bajorath
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 2
MGNDTI: A Drug-Target Interaction Prediction Framework Based on Multimodal Representation Learning and the Gating Mechanism
Lihong Peng, Xin Liu, Min Chen, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 16, pp. 6684-6698
Closed Access | Times Cited: 2
MMDG-DTI: Drug–target interaction prediction via multimodal feature fusion and domain generalization
Yang Hua, Zhenhua Feng, Xiaoning Song, et al.
Pattern Recognition (2024) Vol. 157, pp. 110887-110887
Closed Access | Times Cited: 2
MHADTI: predicting drug–target interactions via multiview heterogeneous information network embedding with hierarchical attention mechanisms
Zhen Tian, Xiangyu Peng, Haichuan Fang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 13
Bioinformatics and computational analyses of kidney stone modulatory proteins lead to solid experimental evidence and therapeutic potential
Sunisa Yoodee, Visith Thongboonkerd
Biomedicine & Pharmacotherapy (2023) Vol. 159, pp. 114217-114217
Open Access | Times Cited: 7
Graph–sequence attention and transformer for predicting drug–target affinity
Xiangfeng Yan, Yong Liu
RSC Advances (2022) Vol. 12, Iss. 45, pp. 29525-29534
Open Access | Times Cited: 12
GIFDTI: Prediction of Drug-Target Interactions Based on Global Molecular and Intermolecular Interaction Representation Learning
Qichang Zhao, Guihua Duan, Haochen Zhao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 3, pp. 1943-1952
Closed Access | Times Cited: 12
Small molecule-mediated targeting of microRNAs for drug discovery: Experiments, computational techniques, and disease implications
Jianfeng Sun, Miaoer Xu, Jinlong Ru, et al.
European Journal of Medicinal Chemistry (2023) Vol. 257, pp. 115500-115500
Open Access | Times Cited: 6
Exploring Myocardial Ischemia‐Reperfusion Injury Mechanism of Cinnamon by Network Pharmacology, Molecular Docking, and Experiment Validation
Tao Xue, Yan Xue, Yangyue Fang, et al.
Computational and Mathematical Methods in Medicine (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 5
Mutual-DTI: A mutual interaction feature-based neural network for drug-target protein interaction prediction
Jiahui Wen, Haitao Gan, Zhi Yong Yang, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 6, pp. 10610-10625
Open Access | Times Cited: 5
In silico protein function prediction: the rise of machine learning-based approaches
Jiaxiao Chen, Zhonghui Gu, Luhua Lai, et al.
Medical Review (2023) Vol. 3, Iss. 6, pp. 487-510
Open Access | Times Cited: 5
MulinforCPI: enhancing precision of compound–protein interaction prediction through novel perspectives on multi-level information integration
Ngoc-Quang Nguyen, Sejeong Park, Mogan Gim, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 5
Chemical and biological language models in molecular design: opportunities, risks and scientific reasoning
Jürgen Bajorath
Future Science OA (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
Drug-Target Interactions Prediction at Scale: the Komet Algorithm with the LCIdb Dataset
Gwenn Guichaoua, Philippe Pinel, Brice Hoffmann, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
DTKGIN: Predicting drug-target interactions based on knowledge graph and intent graph
Yi Luo, Guihua Duan, Qichang Zhao, et al.
Methods (2024) Vol. 226, pp. 21-27
Closed Access | Times Cited: 1

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