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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:

Lung cancer survival prediction and biomarker identification with an ensemble machine learning analysis of tumor core biopsy metabolomic data
Hunter A. Miller, Victor H. van Berkel, Hermann B. Frieboes
Metabolomics (2022) Vol. 18, Iss. 8
Open Access | Times Cited: 19

Showing 19 citing articles:

Utilizing Feature Selection Techniques for AI-Driven Tumor Subtype Classification: Enhancing Precision in Cancer Diagnostics
Jihan Wang, Zhengxiang Zhang, Yangyang Wang
Biomolecules (2025) Vol. 15, Iss. 1, pp. 81-81
Open Access | Times Cited: 1
A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer
Serafeim‐Chrysovalantis Kotoulas, Dionysios Spyratos, Κonstantinos Porpodis, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 882-882
Open Access | Times Cited: 1
Research in the application of artificial intelligence to lung cancer diagnosis
Wenjuan Liu, Nan Shen, Limin Zhang, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 4
Enhanced Lung Cancer Survival Prediction Using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets
Mohammad R. Salmanpour, Arman Gorji, Amin Mousavi, et al.
Cancers (2025) Vol. 17, Iss. 2, pp. 285-285
Open Access
EQLC-EC: An Efficient Voting Classifier for 1D Mass Spectrometry Data Classification
Guo Lin, Yinchu Wang, Zilong Liu, et al.
Electronics (2025) Vol. 14, Iss. 5, pp. 968-968
Open Access
Identification of Idiopathic Pulmonary Fibrosis and Prediction of Disease Severity via Machine Learning Analysis of Comprehensive Metabolic Panel and Complete Blood Count Data
Alex N. Mueller, Hunter A. Miller, Matthew Taylor, et al.
Lung (2024) Vol. 202, Iss. 2, pp. 139-150
Closed Access | Times Cited: 3
Spatial metabolomics identifies distinct tumor-specific and stroma-specific subtypes in patients with lung squamous cell carcinoma
Jun Wang, Na Sun, Thomas Kunzke, et al.
npj Precision Oncology (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 8
Prediction of prolonged mechanical ventilation in the intensive care unit via machine learning: a COVID-19 perspective
Marianna Weaver, Dylan A. Goodin, Hunter A. Miller, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Molecular and immune pathobiology of human angiosarcoma
Ryan Mao Heng Lim, Jing Yi Lee, Bavani Kannan, et al.
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (2024) Vol. 1879, Iss. 5, pp. 189159-189159
Closed Access | Times Cited: 2
JI017 Induces Cell Autophagy and Apoptosis via Elevated Levels of Reactive Oxygen Species in Human Lung Cancer Cells
Jin Mo Ku, Min Jeong Kim, Yu‐Jeong Choi, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 8, pp. 7528-7528
Open Access | Times Cited: 5
Metabolic insights into tumor pathogenesis: Unveiling pan‐cancer metabolism and the potential of untargeted metabolomics
Taorui Wang, Yuanxu Gao
MedComm – Future Medicine (2023) Vol. 2, Iss. 3
Open Access | Times Cited: 4
[Screening of immune related gene and survival prediction of lung adenocarcinoma patients based on LightGBM model].
Xiangfu Meng, Youfa Tian, Xiaoyan Zhang
PubMed (2024) Vol. 41, Iss. 1, pp. 70-79
Closed Access
Aconitate decarboxylase (ACOD1) has found a disease
Syed Fakhar‐ul‐Hassnain Waqas, Chutao Chen, Frank Peßler
Trends in Endocrinology and Metabolism (2024) Vol. 35, Iss. 7, pp. 561-562
Closed Access
Leveraging Segmentation-Guided Spatial Feature Embedding for Overall Survival Prediction in Glioblastoma with Multimodal Magnetic Resonance Imaging
Junmo Kwon, Jonghun Kim, Hyunjin Park
Computer Methods and Programs in Biomedicine (2024) Vol. 255, pp. 108338-108338
Closed Access
Biomedical data analytics for better patient outcomes
Alireza Ghofrani, Hamed Taherdoost
Drug Discovery Today (2024), pp. 104280-104280
Closed Access
Evaluation of Lung Cancer Patient Response to First-Line Chemotherapy by Integration of Tumor Core Biopsy Metabolomics with Multiscale Modeling
Hunter A. Miller, Donald M. Miller, Victor H. van Berkel, et al.
Annals of Biomedical Engineering (2022) Vol. 51, Iss. 4, pp. 820-832
Closed Access | Times Cited: 2
Analyzing omics data by feature combinations based on kernel functions
Chao Li, Tianxiang Wang, Xiaohui Lin
Journal of Bioinformatics and Computational Biology (2023) Vol. 21, Iss. 05
Closed Access
Enhancing lung cancer disease diagnosis by employing ensemble deep learning approaches
Manmath Nath Das, Niranjan Panda, Rasmita Rautray
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 32, Iss. 3, pp. 1766-1766
Open Access
A modeling platform to predict cancer survival and therapy outcomes using tumor tissue derived metabolomics data.
Hunter A. Miller
(2022)
Open Access
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