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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 approaches for drug combination therapies
Betül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Therapeutic strategies of dual-target small molecules to overcome drug resistance in cancer therapy
Jing Ye, Junhao Wu, Bo Liu
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (2023) Vol. 1878, Iss. 3, pp. 188866-188866
Closed Access | Times Cited: 24
Computational drug repurposing by exploiting large-scale gene expression data: Strategy, methods and applications
Hao He, Hongrui Duo, Youjin Hao, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106671-106671
Closed Access | Times Cited: 20
TransferBAN-Syn: a transfer learning-based algorithm for predicting synergistic drug combinations against echinococcosis
Haitao Li, Yuanyuan Chu, Liyuan Jiang, et al.
Frontiers in Genetics (2025) Vol. 15
Open Access
Optimizing kinase and PARP inhibitor combinations through machine learning and in silico approaches for targeted brain cancer therapy
Alireza Poustforoosh
Molecular Diversity (2025)
Closed Access
A guide for active learning in synergistic drug discovery
Shuhui Wang, Alexandre Allauzen, Philippe Nghe, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Celebrating World Cancer Day: Innovative Biological Approaches to Cancer and their Alignment with Sustainable Development Goals (SDGs)
Hamed Kioumarsi, Bolin Liu
Biological Procedures Online (2025) Vol. 27, Iss. 1
Open Access
Systematic review of computational methods for drug combination prediction
Weikaixin Kong, Gianmarco Midena, Yingjia Chen, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 2807-2814
Open Access | Times Cited: 34
Deep learning and machine intelligence: New computational modeling techniques for discovery of the combination rules and pharmacodynamic characteristics of Traditional Chinese Medicine
Dongna Li, Jing Hu, Lin Zhang, et al.
European Journal of Pharmacology (2022) Vol. 933, pp. 175260-175260
Closed Access | Times Cited: 29
Predicting cell line-specific synergistic drug combinations through a relational graph convolutional network with attention mechanism
Peng Zhang, Shikui Tu, Wen Zhang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 22
Chitosan Nanoparticles for Gastroesophageal Reflux Disease Treatment
Yedi Herdiana
Polymers (2023) Vol. 15, Iss. 16, pp. 3485-3485
Open Access | Times Cited: 12
Therapeutic biomarkers in acute myeloid leukemia: functional and genomic approaches
Karanpreet Singh Bhatia, Vedant Sandhu, Mei Hsuan Wong, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 4
Machine learning model for anti-cancer drug combinations: Analysis, prediction, and validation
Jingbo Zhou, Dongyang Tang, Lin He, et al.
Pharmacological Research (2023) Vol. 194, pp. 106830-106830
Open Access | Times Cited: 9
Predicting synergistic anticancer drug combination based on low-rank global attention mechanism and bilinear predictor
Yanglan Gan, Xingyu Huang, Wenjing Guo, et al.
Bioinformatics (2023) Vol. 39, Iss. 10
Open Access | Times Cited: 8
Integrated ML-Based Strategy Identifies Drug Repurposing for Idiopathic Pulmonary Fibrosis
Faheem Ahmed, Anupama Samantasinghar, Myung Ae Bae, et al.
ACS Omega (2024) Vol. 9, Iss. 27, pp. 29870-29883
Open Access | Times Cited: 2
Artificial intelligence techniques for prediction of drug synergy in malignant diseases: Past, present, and future
Pooja Rani, Kamlesh Dutta, Vijay Kumar
Computers in Biology and Medicine (2022) Vol. 144, pp. 105334-105334
Closed Access | Times Cited: 14
Photoactivatable Sequential Destruction of Multiorganelles for Cancer Therapy
Wenping Pan, Hongwei Shao, Limin Ma, et al.
ACS Applied Materials & Interfaces (2023) Vol. 15, Iss. 31, pp. 37121-37129
Closed Access | Times Cited: 7
A Review on Deep Learning-driven Drug Discovery: Strategies, Tools and Applications
Sundaravadivelu Sumathi, Kanagaraj Suganya, Kandasamy Swathi, et al.
Current Pharmaceutical Design (2023) Vol. 29, Iss. 13, pp. 1013-1025
Closed Access | Times Cited: 6
Stephania suberosa Forman extract synergistically inhibits ampicillin- and vancomycin-resistant Enterococcus faecium
Yothin Teethaisong, Piyasiri Chueakwon, Kulwara Poolpol, et al.
Saudi Journal of Biological Sciences (2023) Vol. 30, Iss. 2, pp. 103557-103557
Open Access | Times Cited: 5
Predicting Antimicrobial Activity for Untested Peptide-Based Drugs Using Collaborative Filtering and Link Prediction
Angela Medvedeva, Hamid Teimouri, Anatoly B. Kolomeisky
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 12, pp. 3697-3704
Open Access | Times Cited: 5
Combining the Peptide RWQWRWQWR and an Ethanolic Extract of Bidens pilosa Enhances the Activity against Sensitive and Resistant Candida albicans and C. auris Strains
Yerly Vargas‐Casanova, Claudia Patrícia Bravo-Chaucanés, Andrea Ximena Hernández-Martínez, et al.
Journal of Fungi (2023) Vol. 9, Iss. 8, pp. 817-817
Open Access | Times Cited: 5
Predicting drug synergy using a network propagation inspired machine learning framework
Qing Jin, Xianze Zhang, Diwei Huo, et al.
Briefings in Functional Genomics (2024) Vol. 23, Iss. 4, pp. 429-440
Closed Access | Times Cited: 1
Quality Consistency Evaluation of Traditional Chinese Medicines: Current Status and Future Perspectives
Chun-Lu Liu, Yan Jiang, Hui‐Jun Li
Critical Reviews in Analytical Chemistry (2024), pp. 1-18
Closed Access | Times Cited: 1
DKPE-GraphSYN: a drug synergy prediction model based on joint dual kernel density estimation and positional encoding for graph representation
Yunyun Dong, Yujie Bai, Haitao Liu, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 1
Unlocking the Gateway: The Spatio-Temporal Dynamics of the p53 Family Driven by the Nuclear Pores and Its Implication for the Therapeutic Approach in Cancer
Dini Kurnia Ikliptikawati, Kei Makiyama, Masaharu Hazawa, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 13, pp. 7465-7465
Open Access | Times Cited: 1
piscesCSM: prediction of anticancer synergistic drug combinations
Raghad Al‐Jarf, Carlos H. M. Rodrigues, Yoochan Myung, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 1
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