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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:

Network-based prediction of drug–target interactions using an arbitrary-order proximity embedded deep forest
Xiangxiang Zeng, Siyi Zhu, Yuan Hou, et al.
Bioinformatics (2020) Vol. 36, Iss. 9, pp. 2805-2812
Open Access | Times Cited: 131

Showing 1-25 of 131 citing articles:

Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2
Yadi Zhou, Yuan Hou, Jiayu Shen, et al.
Cell Discovery (2020) Vol. 6, Iss. 1
Open Access | Times Cited: 1598
Constructing knowledge graphs and their biomedical applications
David N. Nicholson, Casey S. Greene
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 1414-1428
Open Access | Times Cited: 185
AlphaFold, Artificial Intelligence (AI), and Allostery
Ruth Nussinov, Mingzhen Zhang, Yonglan Liu, et al.
The Journal of Physical Chemistry B (2022) Vol. 126, Iss. 34, pp. 6372-6383
Open Access | Times Cited: 106
ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning
Lesong Wei, Xiucai Ye, Tetsuya Sakurai, et al.
Bioinformatics (2022) Vol. 38, Iss. 6, pp. 1514-1524
Open Access | Times Cited: 102
Deep learning for drug repurposing: Methods, databases, and applications
Xiaoqin Pan, Xuan Lin, Dongsheng Cao, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 97
Network-based drug repurposing identifies small molecule drugs as immune checkpoint inhibitors for endometrial cancer
Faheem Ahmed, Anupama Samantasinghar, Wajid Ali, et al.
Molecular Diversity (2024)
Closed Access | Times Cited: 16
HAPPENN is a novel tool for hemolytic activity prediction for therapeutic peptides which employs neural networks
Patrick Brendan Timmons, Chandralal M. Hewage
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 117
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
Incorporating Machine Learning into Established Bioinformatics Frameworks
Noam Auslander, Ayal B. Gussow, Eugene V. Koonin
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 6, pp. 2903-2903
Open Access | Times Cited: 85
Learning spatial structures of proteins improves protein–protein interaction prediction
Bosheng Song, Xiaoyan Luo, Xiaoli Luo, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Closed Access | Times Cited: 85
Drug targets for COVID-19 therapeutics: Ongoing global efforts
Ambrish Saxena
Journal of Biosciences (2020) Vol. 45, Iss. 1
Open Access | Times Cited: 80
ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism
Lesong Wei, Xiucai Ye, Yuyang Xue, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 74
DNN-DTIs: Improved drug-target interactions prediction using XGBoost feature selection and deep neural network
Cheng Chen, Shi Han, Zhiwen Jiang, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104676-104676
Open Access | Times Cited: 73
Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19
Gunjan Arora, Jayadev Joshi, Rahul Shubhra Mandal, et al.
Pathogens (2021) Vol. 10, Iss. 8, pp. 1048-1048
Open Access | Times Cited: 73
A heterogeneous network embedding framework for predicting similarity-based drug-target interactions
Qi An, Liang Yu
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 71
BERT based clinical knowledge extraction for biomedical knowledge graph construction and analysis
Ayoub Harnoune, Maryem Rhanoui, Mounia Mikram, et al.
Computer Methods and Programs in Biomedicine Update (2021) Vol. 1, pp. 100042-100042
Open Access | Times Cited: 69
IMCHGAN: Inductive Matrix Completion With Heterogeneous Graph Attention Networks for Drug-Target Interactions Prediction
Jin Li, Jingru Wang, Hao Lv, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 2, pp. 655-665
Closed Access | Times Cited: 61
Affinity2Vec: drug-target binding affinity prediction through representation learning, graph mining, and machine learning
Maha A. Thafar, Mona Alshahrani, Somayah Albaradei, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 53
NF-κB Signaling and Inflammation—Drug Repurposing to Treat Inflammatory Disorders?
Annabell Roberti, Laura Elizabeth Chaffey, David R. Greaves
Biology (2022) Vol. 11, Iss. 3, pp. 372-372
Open Access | Times Cited: 49
DTI-HETA: prediction of drug–target interactions based on GCN and GAT on heterogeneous graph
Kanghao Shao, Yunhao Zhang, Yuqi Wen, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 49
Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning
Zilong Hou, Yuning Yang, Zhiqiang Ma, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 32
A review of deep learning methods for ligand based drug virtual screening
Hongjie Wu, Junkai Liu, Runhua Zhang, et al.
Fundamental Research (2024) Vol. 4, Iss. 4, pp. 715-737
Open Access | Times Cited: 13
Prediction of antioxidant proteins using hybrid feature representation method and random forest
Chunyan Ao, Wenyang Zhou, Lin Gao, et al.
Genomics (2020) Vol. 112, Iss. 6, pp. 4666-4674
Closed Access | Times Cited: 63
Sequence representation approaches for sequence-based protein prediction tasks that use deep learning
Feifei Cui, Zilong Zhang, Quan Zou
Briefings in Functional Genomics (2020) Vol. 20, Iss. 1, pp. 61-73
Closed Access | Times Cited: 61
DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning
Maha A. Thafar, Rawan S. Olayan, Somayah Albaradei, et al.
Journal of Cheminformatics (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 55
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