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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:

Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data
Junyi Chen, Xiaoying Wang, Anjun Ma, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 94

Showing 1-25 of 94 citing articles:

Network pharmacology: towards the artificial intelligence-based precision traditional Chinese medicine
Peng Zhang, Dingfan Zhang, Wuai Zhou, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 169
Trends and Potential of Machine Learning and Deep Learning in Drug Study at Single-Cell Level
Ren Qi, Quan Zou
Research (2023) Vol. 6
Open Access | Times Cited: 41
Machine learning in preclinical drug discovery
Denise B. Catacutan, Jeremie Alexander, Autumn Arnold, et al.
Nature Chemical Biology (2024) Vol. 20, Iss. 8, pp. 960-973
Closed Access | Times Cited: 38
Big data and deep learning for RNA biology
Hyeonseo Hwang, Hyeonseong Jeon, Nagyeong Yeo, et al.
Experimental & Molecular Medicine (2024) Vol. 56, Iss. 6, pp. 1293-1321
Open Access | Times Cited: 11
scRank infers drug-responsive cell types from untreated scRNA-seq data using a target-perturbed gene regulatory network
Chengyu Li, Xin Shao, Shujing Zhang, et al.
Cell Reports Medicine (2024) Vol. 5, Iss. 6, pp. 101568-101568
Open Access | Times Cited: 10
Facilitation of Tumor Stroma-Targeted Therapy: Model Difficulty and Co-Culture Organoid Method
Qiushi Feng, Xiaofeng Shan, Vicky Yau, et al.
Pharmaceuticals (2025) Vol. 18, Iss. 1, pp. 62-62
Open Access | Times Cited: 1
Federated and transfer learning for cancer detection based on image analysis
Amine Bechar, Rafik Medjoudj, Youssef Elmir, et al.
Neural Computing and Applications (2025)
Open Access | Times Cited: 1
Applications and emerging challenges of single-cell RNA sequencing technology in tumor drug discovery
Lu Zhang, Yueying Yang, Jianjun Tan
Drug Discovery Today (2025), pp. 104290-104290
Closed Access | Times Cited: 1
Single Cell Inference of Cancer Drug Response Using Pathway‐Based Transformer Network
Yinghao Yao, Yuandong Xu, Yaru Zhang, et al.
Small Methods (2025)
Open Access | Times Cited: 1
Machine learning to dissect perturbations in complex cellular systems
Pablo Monfort-Lanzas, Katja Rungger, Leonie Madersbacher, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 832-842
Open Access | Times Cited: 1
Applications of Artificial Intelligence in Drug Repurposing
Zhaoman Wan, Xinran Sun, Yi Li, et al.
Advanced Science (2025)
Open Access | Times Cited: 1
Advances in AI‐based cancer cytopathology
Yan Yang, Shujuan Guan, Zihao Ou, et al.
Deleted Journal (2023) Vol. 1, Iss. 3
Open Access | Times Cited: 17
Deep transfer learning for clinical decision-making based on high-throughput data: comprehensive survey with benchmark results
Muhammad Toseef, Olutomilayo Olayemi Petinrin, Fuzhou Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 17
SpaRx: elucidate single-cell spatial heterogeneity of drug responses for personalized treatment
Ziyang Tang, Xiang Liu, Zuotian Li, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Open Access | Times Cited: 17
Predicting drug response from single-cell expression profiles of tumours
Simona Pellecchia, Gaetano Viscido, Melania Franchini, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 15
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
Integration of Pan-Cancer Cell Line and Single-Cell Transcriptomic Profiles Enables Inference of Therapeutic Vulnerabilities in Heterogeneous Tumors
Weijie Zhang, Danielle Maeser, Adam M. Lee, et al.
Cancer Research (2024) Vol. 84, Iss. 12, pp. 2021-2033
Open Access | Times Cited: 4
Reviewer #2 (Public Review): Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning
Gitanjali Roy, Rameesha Syed, Olivia Lazaro, et al.
(2024)
Open Access | Times Cited: 4
DrugFormer: Graph‐Enhanced Language Model to Predict Drug Sensitivity
Xiaona Liu, Qing Wang, Minghao Zhou, et al.
Advanced Science (2024) Vol. 11, Iss. 40
Open Access | Times Cited: 4
An in-depth review of AI-powered advancements in cancer drug discovery
Le Huu Nhat Minh, Phat Ky Nguyen, Nguyen Thi Trang, et al.
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2025), pp. 167680-167680
Closed Access
The clinical application of artificial intelligence in cancer precision treatment
Jinyu Wang, Ziyi Zeng, Zehua Li, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
Integration of single‐cell and bulk RNA‐sequencing data reveals the prognostic potential of epithelial gene markers for prostate cancer
Zhuofan Mou, Lorna W. Harries
Molecular Oncology (2025)
Open Access
Hallmarks of artificial intelligence contributions to precision oncology
Tiangen Chang, Seongyong Park, Alejandro A. Schäffer, et al.
Nature Cancer (2025)
Closed Access
Single-Cell RNA Sequencing of Bone Marrow Reveals the Immune Response Mechanisms of Lymphocytes Under Avian Leukosis Virus Subgroup J Infection
Cheng Liu, Yu Zhang, Ruyu Liao, et al.
Poultry Science (2025), pp. 104995-104995
Open Access
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