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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.

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Showing 1-25 of 59 citing articles:

Integrated multiomics analysis and machine learning refine molecular subtypes and prognosis for muscle-invasive urothelial cancer
Guangdi Chu, Xiaoyu Ji, Yonghua Wang, et al.
Molecular Therapy — Nucleic Acids (2023) Vol. 33, pp. 110-126
Open Access | Times Cited: 42
Identifying squalene epoxidase as a metabolic vulnerability in high‐risk osteosarcoma using an artificial intelligence‐derived prognostic index
Yongjie Wang, Xiaolong Ma, Enjie Xu, et al.
Clinical and Translational Medicine (2024) Vol. 14, Iss. 2
Open Access | Times Cited: 6
Robust machine−learning based prognostic index using cytotoxic T lymphocyte evasion genes highlights potential therapeutic targets in colorectal cancer
Xu Wang, Shixin Chan, Jiajie Chen, et al.
Cancer Cell International (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Identification macrophage signatures in prostate cancer by single-cell sequencing and machine learning
Zhen Kang, Yuxuan Zhao, Ren Qiu, et al.
Cancer Immunology Immunotherapy (2024) Vol. 73, Iss. 3
Open Access | Times Cited: 5
Integrating PANoptosis insights to enhance breast cancer prognosis and therapeutic decision-making
Shu Wang, Zhuolin Li, Jing Hou, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 5
Integration analysis of cell division cycle-associated family genes revealed potential mechanisms of gliomagenesis and constructed an artificial intelligence-driven prognostic signature
Kai Yu, Qi Tian, Shi Feng, et al.
Cellular Signalling (2024) Vol. 119, pp. 111168-111168
Closed Access | Times Cited: 5
Unveiling the Potential of Migrasomes: A Machine-Learning-Driven Signature for Diagnosing Acute Myocardial Infarction
Yihao Zhu, Yuxi Chen, Jiajin Xu, et al.
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1626-1626
Open Access | Times Cited: 5
Epigenetic profiling for prognostic stratification and personalized therapy in breast cancer
Xiao Guo, Chuanbo Feng, Jiaying Xing, et al.
Frontiers in Immunology (2025) Vol. 15
Open Access
Uncovering the Potential of Pathomics: Prognostic Prediction and Mechanistic Investigation of Pancreatic Cancer
Rixin Su, Xiaohong Zhao, Fabiao Zhang, et al.
(2025)
Closed Access
Integrative machine learning model of RNA modifications predict prognosis and treatment response in patients with breast cancer
Tao Wang, Shu Wang, Zhuolin Li, et al.
Cancer Cell International (2025) Vol. 25, Iss. 1
Open Access
Pharmacogenomics-based subtype decoded implications for risk stratification and immunotherapy in pancreatic adenocarcinoma
Xing Zhou, Yuhao Ba, Nuo Xu, et al.
Molecular Medicine (2025) Vol. 31, Iss. 1
Open Access
Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outcomes
Xiaonan Zhang, Li Li, Xiaoyu Shi, et al.
Frontiers in Immunology (2025) Vol. 16
Open Access
Application of artificial intelligence in the diagnosis of malignant digestive tract tumors: focusing on opportunities and challenges in endoscopy and pathology
Yinhu Gao, Peizhen Wen, Yuan Liu, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
Integrating single-cell and bulk RNA-seq to reveal cholesterol homeostasis-related genes via machine learning to predict prognosis and therapeutic response in hepatocellular carcinoma
Xiaozhen Ji, Wei Wang, Ke Wu, et al.
Research Square (Research Square) (2025)
Closed Access
A Novel Deep Learning–based Pathomics Score for Prognostic Stratification in Pancreatic Ductal Adenocarcinoma
Wenbin Liu, Jing Li, Xiaohan Yuan, et al.
Pancreas (2025) Vol. 54, Iss. 5, pp. e430-e441
Closed Access
Machine learning-based neddylation landscape indicates different prognosis and immune microenvironment in endometrial cancer
Yi Li, Jiang-Hua Niu, Yan Wang
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 10
The resistance to anoikis, mediated by Spp1, and the evasion of immune surveillance facilitate the invasion and metastasis of hepatocellular carcinoma
Zhengwei Zhang, Xiaoning Chen, Yapeng Li, et al.
APOPTOSIS (2024) Vol. 29, Iss. 9-10, pp. 1564-1583
Open Access | Times Cited: 3
Identification and isolation of BZR transcription factor and screening of cell wall degradation marker genes based on machine learning in ripening kiwifruit
Yaming Yang, Shichang Ren, Ming Chen, et al.
Postharvest Biology and Technology (2024) Vol. 211, pp. 112798-112798
Closed Access | Times Cited: 2
Machine learning-based nomogram: integrating MRI radiomics and clinical indicators for prognostic assessment in acute ischemic stroke
Kun Guo, Bo Zhu, Rong Li, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 2
Integrative transcriptome-proteome approach reveals key hypoxia-related features involved in the neuroprotective effects of Yang Xue oral liquid on Alzheimer’s and Parkinson’s disease
Xiangyang Chen, Mingrong Cheng, Chenchen Tang, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 2
Single-cell transcriptome analysis revealed heterogeneity in glycolysis and identified IGF2 as a therapeutic target for ovarian cancer subtypes
Jinting Ji, Fangfang Bi, Xiaocui Zhang, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Regulatory T cells-related gene in primary sclerosing cholangitis: evidence from Mendelian randomization and transcriptome data
Jianlan Hu, Youxing Wu, D. Zhang, et al.
Genes and Immunity (2024)
Open Access | Times Cited: 2
Endoplasmic reticulum stress in breast cancer: a predictive model for prognosis and therapy selection
Bin Yang, Shu Wang, Yanfang Yang, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 1
Comprehensive machine learning-based preoperative blood features predict the prognosis for ovarian cancer
Meixuan Wu, Sijia Gu, Jiani Yang, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Development and Application of a Novel Machine Learning Model Predicting Pancreatic Cancer-Specific Mortality
Yongji Sun, Sien Hu, Xiawei Li, et al.
Cureus (2024)
Open Access | Times Cited: 1
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