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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:

An Improved Anticancer Drug-Response Prediction Based on an Ensemble Method Integrating Matrix Completion and Ridge Regression
Chuanying Liu, Wei Dong, Ju Xiang, et al.
Molecular Therapy — Nucleic Acids (2020) Vol. 21, pp. 676-686
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

A weighted bilinear neural collaborative filtering approach for drug repositioning
Yajie Meng, Changcheng Lu, Min Jin, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 115
Ridge regression ensemble of machine learning models applied to solar and wind forecasting in Brazil and Spain
Tatiane Carolyne Carneiro, Paulo Alexandre Costa Rocha, Paulo César Marques de Carvalho, et al.
Applied Energy (2022) Vol. 314, pp. 118936-118936
Closed Access | Times Cited: 90
Predicting colorectal cancer tumor mutational burden from histopathological images and clinical information using multi-modal deep learning
Kaimei Huang, Binghu Lin, Jinyang Liu, et al.
Bioinformatics (2022) Vol. 38, Iss. 22, pp. 5108-5115
Open Access | Times Cited: 41
Application of oncolytic virus in tumor therapy
Zhijian Huang, Hongen Guo, Lin Lin, et al.
Journal of Medical Virology (2023) Vol. 95, Iss. 4
Closed Access | Times Cited: 27
Co-expression of IL-21-Enhanced NKG2D CAR-NK cell therapy for lung cancer
Yan Zhang, Cong Zhang, Ming-Hong He, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 11
A Review of Current In Silico Methods for Repositioning Drugs and Chemical Compounds
Binsheng He, Fangxing Hou, Changjing Ren, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 45
An overview of machine learning methods for monotherapy drug response prediction
Farzaneh Firoozbakht, Behnam Yousefi, Benno Schwikowski
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 45
ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data
Yuhua Yao, Yaping Lv, Ling Tong, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 38
Circulating Tumor Cell Identification Based on Deep Learning
Zhifeng Guo, Xiaoxi Lin, Hui Yan, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 30
MNNMDA: Predicting human microbe-disease association via a method to minimize matrix nuclear norm
Haiyan Liu, Pingping Bing, Meijun Zhang, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 1414-1423
Open Access | Times Cited: 18
Large-scale pharmacogenomic studies and drug response prediction for personalized cancer medicine
Fangyoumin Feng, Bihan Shen, Xiaoqin Mou, et al.
Journal of genetics and genomics/Journal of Genetics and Genomics (2021) Vol. 48, Iss. 7, pp. 540-551
Open Access | Times Cited: 32
Application of Circulating Tumor DNA as a Biomarker for Non-Small Cell Lung Cancer
Jialiang Yang, Hui Yan, Yan-xiang Zhang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 28
PARP Inhibitor Upregulates PD-L1 Expression and Provides a New Combination Therapy in Pancreatic Cancer
Yali Wang, Kun Zheng, Hua Xiong, et al.
Frontiers in Immunology (2021) Vol. 12
Open Access | Times Cited: 28
Cancer omic data based explainable AI drug recommendation inference: A traceability perspective for explainability
Jianing Xi, Dan Wang, Xuebing Yang, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104144-104144
Closed Access | Times Cited: 22
Predicting Tumor Mutational Burden From Lung Adenocarcinoma Histopathological Images Using Deep Learning
Yi Niu, Lixia Wang, Xiaojie Zhang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 20
Effects of different KRAS mutants and Ki67 expression on diagnosis and prognosis in lung adenocarcinoma
Jun Wang, Liwen Dong, Zhaowei Zheng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Computational drug repositioning using similarity constrained weight regularization matrix factorization: A case of COVID‐19
Junlin Xu, Yajie Meng, Lihong Peng, et al.
Journal of Cellular and Molecular Medicine (2022) Vol. 26, Iss. 13, pp. 3772-3782
Open Access | Times Cited: 19
In Vivo Modeling of Human Breast Cancer Using Cell Line and Patient-Derived Xenografts
Eric P. Souto, Lacey E. Dobrolecki, Hugo Villanueva, et al.
Journal of Mammary Gland Biology and Neoplasia (2022) Vol. 27, Iss. 2, pp. 211-230
Open Access | Times Cited: 19
Machine learning for drug repositioning: Recent advances and challenges
Lijun Cai, Jiaxin Chu, Junlin Xu, et al.
Current Research in Chemical Biology (2023) Vol. 3, pp. 100042-100042
Open Access | Times Cited: 10
DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network
Haoyuan Shi, Tao Xu, Xiaodi Li, et al.
Artificial Intelligence in Medicine (2025) Vol. 163, pp. 103101-103101
Open Access
A Comprehensive Review of Various Machine Learning and Deep Learning Models for Anti-Cancer Drug Response Prediction: Comparative Analysis With Existing State of the Art Methods
Davinder Paul Singh, Prabhjot Kour, Tathagat Banerjee, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
Protein structure prediction via deep learning: an in-depth review
Yajie Meng, Zhuang Zhang, Chang Zhou, et al.
Frontiers in Pharmacology (2025) Vol. 16
Open Access
Enhanced Deep Learning Model for Personalized Cancer Treatment
Hanan Ahmed, Safwat Hamad, Howida A. Shedeed, et al.
IEEE Access (2022) Vol. 10, pp. 106050-106058
Open Access | Times Cited: 16
NeRD: a multichannel neural network to predict cellular response of drugs by integrating multidimensional data
Xiaoxiao Cheng, Chong Dai, Yuqi Wen, et al.
BMC Medicine (2022) Vol. 20, Iss. 1
Open Access | Times Cited: 15
KK-DBP: A Multi-Feature Fusion Method for DNA-Binding Protein Identification Based on Random Forest
Yuran Jia, Shan Huang, Tianjiao Zhang
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 19
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