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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:

Machine learning and data mining frameworks for predicting drug response in cancer: An overview and a novel in silico screening process based on association rule mining
Konstantinos Vougas, Theodore Sakellaropoulos, Athanassios Kotsinas, et al.
Pharmacology & Therapeutics (2019) Vol. 203, pp. 107395-107395
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Cellular Senescence: Defining a Path Forward
Vassilis G. Gorgoulis, Peter D. Adams, Andrea Alimonti, et al.
Cell (2019) Vol. 179, Iss. 4, pp. 813-827
Open Access | Times Cited: 2228
Mechanisms of Cellular Senescence: Cell Cycle Arrest and Senescence Associated Secretory Phenotype
Ruchi Kumari, Parmjit Jat
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 1028
A Deep Learning Framework for Predicting Response to Therapy in Cancer
Theodore Sakellaropoulos, Konstantinos Vougas, Sonali Narang, et al.
Cell Reports (2019) Vol. 29, Iss. 11, pp. 3367-3373.e4
Open Access | Times Cited: 178
Integrated analysis of single-cell and bulk RNA sequencing data reveals a pan-cancer stemness signature predicting immunotherapy response
Zhen Zhang, Zixian Wang, Yan‐Xing Chen, et al.
Genome Medicine (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 158
Machine learning approaches to predict drug efficacy and toxicity in oncology
Bara A. Badwan, Gerry Liaropoulos, Efthymios Kyrodimos, et al.
Cell Reports Methods (2023) Vol. 3, Iss. 2, pp. 100413-100413
Open Access | Times Cited: 44
Mime: A flexible machine-learning framework to construct and visualize models for clinical characteristics prediction and feature selection
Hongwei Liu, Wei Zhang, Yihao Zhang, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2798-2810
Open Access | Times Cited: 15
Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021)
Md. Kamrul Hasan, Md. Ashraful Alam, Shidhartho Roy, et al.
Informatics in Medicine Unlocked (2021) Vol. 27, pp. 100799-100799
Open Access | Times Cited: 100
Artificial Intelligence for Alzheimer’s Disease: Promise or Challenge?
Carlo Fabrizio, Andrea Termine, Carlo Caltagirone, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1473-1473
Open Access | Times Cited: 86
Cellular senescence and cardiovascular diseases: moving to the “heart” of the problem
Konstantinos Evangelou, Panagiotis Vasileiou, Angelos Papaspyropoulos, et al.
Physiological Reviews (2022) Vol. 103, Iss. 1, pp. 609-647
Open Access | Times Cited: 54
Data mining and machine learning in cancer survival research: An overview and future recommendations
Ishleen Kaur, M. N. Doja, Tanvir Ahmad
Journal of Biomedical Informatics (2022) Vol. 128, pp. 104026-104026
Open Access | Times Cited: 45
Machine learning in additive manufacturing & Microfluidics for smarter and safer drug delivery systems
Aikaterini Dedeloudi, Edward Weaver, Dimitrios A. Lamprou
International Journal of Pharmaceutics (2023) Vol. 636, pp. 122818-122818
Open Access | Times Cited: 28
Artificial Intelligence to Decode Cancer Mechanism: Beyond Patient Stratification for Precision Oncology
Sandip Kumar Patel, Bhawana George, Vineeta Rai
Frontiers in Pharmacology (2020) Vol. 11
Open Access | Times Cited: 53
Research on Medical Problems Based on Mathematical Models
Yikai Liu, Ruozheng Wu, Aimin Yang
Mathematics (2023) Vol. 11, Iss. 13, pp. 2842-2842
Open Access | Times Cited: 21
Synchrotron radiation data-driven artificial intelligence approaches in materials discovery
Qingmeng Li, Rongchang Xing, Linshan Li, et al.
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 1, pp. 100045-100045
Open Access | Times Cited: 7
Deep Learning Algorithms and Multicriteria Decision-Making Used in Big Data: A Systematic Literature Review
Mei Yang, Shah Nazir, Qingshan Xu, et al.
Complexity (2020) Vol. 2020, pp. 1-18
Open Access | Times Cited: 49
A comprehensive review on recent approaches for cancer drug discovery associated with artificial intelligence
Sanjeevi Pandiyan, Li Wang
Computers in Biology and Medicine (2022) Vol. 150, pp. 106140-106140
Closed Access | Times Cited: 25
Identification of combinations of endocrine disrupting chemicals in household chemical products that require mixture toxicity testing
Inhye Lee, Kyunghee Ji
Ecotoxicology and Environmental Safety (2022) Vol. 240, pp. 113677-113677
Open Access | Times Cited: 23
Optimized models and deep learning methods for drug response prediction in cancer treatments: a review
Wesam Ibrahim Hajim, Suhaila Zainudin, Kauthar Mohd Daud, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1903-e1903
Open Access | Times Cited: 5
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
An optimized herbal combination for the treatment of liver fibrosis: Hub genes, bioactive ingredients, and molecular mechanisms
Qianqian Zhao, Jinwei Bai, Yiwei Chen, et al.
Journal of Ethnopharmacology (2022) Vol. 297, pp. 115567-115567
Closed Access | Times Cited: 19
Precision oncology: a review to assess interpretability in several explainable methods
Marian Gimeno, Katyna Sada Del Real, Ángel Rubio
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 12
Analysis on Influencing Factors of Dance Teaching Effect in Colleges Based on Data Analysis and Decision Tree Model
Beibei Guo
International Journal of Emerging Technologies in Learning (iJET) (2020) Vol. 15, Iss. 09, pp. 245-245
Open Access | Times Cited: 29
Data mining on identifying diagnosis and prognosis biomarkers in head and neck squamous carcinoma
Guoyuan Ju, Zhangyu Yao, Yanbin Zhao, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Mechanisms of Senescence and Anti-Senescence Strategies in the Skin
Evangelia Konstantinou, Eliane Longange, Gürkan Kaya
Biology (2024) Vol. 13, Iss. 9, pp. 647-647
Open Access | Times Cited: 3
Learning curves for drug response prediction in cancer cell lines
Alexander Partin, Thomas Brettin, Yvonne A. Evrard, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 20
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