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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:

DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features
Yanyi Chu, Aman Chandra Kaushik, Xiangeng Wang, et al.
Briefings in Bioinformatics (2019) Vol. 22, Iss. 1, pp. 451-462
Closed Access | Times Cited: 180

Showing 1-25 of 180 citing articles:

Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Rohan Gupta, Devesh Srivastava, Mehar Sahu, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1315-1360
Open Access | Times Cited: 889
GraphDTA: predicting drug–target binding affinity with graph neural networks
Thin Nguyen, Hang Le, Thomas P. Quinn, et al.
Bioinformatics (2020) Vol. 37, Iss. 8, pp. 1140-1147
Open Access | Times Cited: 650
Artificial intelligence in drug discovery: recent advances and future perspectives
José Jiménez-Luna, Francesca Grisoni, Nils Weskamp, et al.
Expert Opinion on Drug Discovery (2021) Vol. 16, Iss. 9, pp. 949-959
Open Access | Times Cited: 302
Computers and viral diseases. Preliminary bioinformatics studies on the design of a synthetic vaccine and a preventative peptidomimetic antagonist against the SARS-CoV-2 (2019-nCoV, COVID-19) coronavirus
Barry Robson
Computers in Biology and Medicine (2020) Vol. 119, pp. 103670-103670
Open Access | Times Cited: 226
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
COVID-19 Coronavirus spike protein analysis for synthetic vaccines, a peptidomimetic antagonist, and therapeutic drugs, and analysis of a proposed achilles’ heel conserved region to minimize probability of escape mutations and drug resistance
Barry Robson
Computers in Biology and Medicine (2020) Vol. 121, pp. 103749-103749
Open Access | Times Cited: 173
Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism
Tianyi Wang, Jianqiang Sun, Qi Zhao
Computers in Biology and Medicine (2022) Vol. 153, pp. 106464-106464
Closed Access | Times Cited: 161
HINGRL: predicting drug–disease associations with graph representation learning on heterogeneous information networks
Bo-Wei Zhao, Lun Hu, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 119
sgRNACNN: identifying sgRNA on-target activity in four crops using ensembles of convolutional neural networks
Mengting Niu, Yuan Lin, Quan Zou
Plant Molecular Biology (2021) Vol. 105, Iss. 4-5, pp. 483-495
Closed Access | Times Cited: 104
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
scAAGA: Single cell data analysis framework using asymmetric autoencoder with gene attention
Rui Meng, Shuaidong Yin, Jianqiang Sun, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107414-107414
Closed Access | Times Cited: 68
Geometric Interaction Graph Neural Network for Predicting Protein–Ligand Binding Affinities from 3D Structures (GIGN)
Ziduo Yang, Weihe Zhong, Qiujie Lv, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 8, pp. 2020-2033
Closed Access | Times Cited: 54
TripletMultiDTI: Multimodal representation learning in drug-target interaction prediction with triplet loss function
Alireza Dehghan, Parvin Razzaghi, Karim Abbasi, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120754-120754
Closed Access | Times Cited: 52
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
BBPpred: Sequence-Based Prediction of Blood-Brain Barrier Peptides with Feature Representation Learning and Logistic Regression
Ruyu Dai, Wei Zhang, Wending Tang, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 1, pp. 525-534
Open Access | Times Cited: 83
DeepM6ASeq-EL: prediction of human N6-methyladenosine (m6A) sites with LSTM and ensemble learning
Juntao Chen, Quan Zou, Jing Li
Frontiers of Computer Science (2021) Vol. 16, Iss. 2
Closed Access | Times Cited: 79
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
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
DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug–Target interaction prediction
Peiliang Zhang, Ziqi Wei, Chao Che, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105214-105214
Closed Access | Times Cited: 60
A survey of graph neural networks in various learning paradigms: methods, applications, and challenges
Lilapati Waikhom, Ripon Patgiri
Artificial Intelligence Review (2022) Vol. 56, Iss. 7, pp. 6295-6364
Closed Access | Times Cited: 50
TransDTI: Transformer-Based Language Models for Estimating DTIs and Building a Drug Recommendation Workflow
Yogesh Kalakoti, Shashank Yadav, Durai Sundar
ACS Omega (2022) Vol. 7, Iss. 3, pp. 2706-2717
Open Access | Times Cited: 42
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: 42
Deciphering ligand–receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data
Lihong Peng, Jingwei Tan, Wei Xiong, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107137-107137
Closed Access | Times Cited: 34
Drug–target affinity prediction method based on multi-scale information interaction and graph optimization
Zhiqin Zhu, Yao Zheng, Xin Zheng, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107621-107621
Closed Access | Times Cited: 32
Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery
Xiaoqi Wang, Yingjie Cheng, Yaning Yang, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 4, pp. 445-456
Open Access | Times Cited: 29
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