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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-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer
Nguyen Quoc Khanh Le, Quang Hien Kha, Nguyễn Văn Hiệp, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 17, pp. 9254-9254
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

Survey of Explainable AI Techniques in Healthcare
Ahmad Chaddad, Jihao Peng, Jian Xu, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 634-634
Open Access | Times Cited: 275
Wearable Flexible Electronics Based Cardiac Electrode for Researcher Mental Stress Detection System Using Machine Learning Models on Single Lead Electrocardiogram Signal
Md Belal Bin Heyat, Faijan Akhtar, Syed Jafar Abbas, et al.
Biosensors (2022) Vol. 12, Iss. 6, pp. 427-427
Open Access | Times Cited: 70
Predicting EGFR Mutation Status in Non–Small Cell Lung Cancer Using Artificial Intelligence: A Systematic Review and Meta-Analysis
Hung Song Nguyen, Dang Khanh Ngan Ho, Nam Nhat Nguyen, et al.
Academic Radiology (2023) Vol. 31, Iss. 2, pp. 660-683
Closed Access | Times Cited: 61
Comparing three-dimensional and two-dimensional deep-learning, radiomics, and fusion models for predicting occult lymph node metastasis in laryngeal squamous cell carcinoma based on CT imaging: a multicentre, retrospective, diagnostic study
Wenlun Wang, Hui Liang, Zhouyi Zhang, et al.
EClinicalMedicine (2024) Vol. 67, pp. 102385-102385
Open Access | Times Cited: 30
Fusion of shallow and deep features from 18F-FDG PET/CT for predicting EGFR-sensitizing mutations in non-small cell lung cancer
Xiaohui Yao, Yuan Zhu, Zhenxing Huang, et al.
Quantitative Imaging in Medicine and Surgery (2024) Vol. 14, Iss. 8, pp. 5460-5472
Open Access | Times Cited: 26
Predicting gene mutation status via artificial intelligence technologies based on multimodal integration (MMI) to advance precision oncology
Jun Shao, Jiechao Ma, Qin Zhang, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 1-15
Open Access | Times Cited: 36
Optimizing double-layered convolutional neural networks for efficient lung cancer classification through hyperparameter optimization and advanced image pre-processing techniques
M. Mohamed Musthafa, I. Manimozhi, T R Mahesh, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 11
Considerations on Genetic and Treatment Factors in NSCLC Segmentectomy Outcomes
Qiang Hu, Jing Sun
Journal of Thoracic Oncology (2025) Vol. 20, Iss. 2, pp. e26-e27
Closed Access | Times Cited: 1
Study on postoperative survival prediction model for non-small cell lung cancer: application of radiomics technology workflow based on multi-organ imaging features and various machine learning algorithms
Hanlin Wang, Hong Yuan, Zimo Zhang, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access | Times Cited: 1
Plasma Exosome Analysis for Protein Mutation Identification Using a Combination of Raman Spectroscopy and Deep Learning
Seungmin Kim, Byeong Hyeon Choi, Hyunku Shin, et al.
ACS Sensors (2023) Vol. 8, Iss. 6, pp. 2391-2400
Closed Access | Times Cited: 19
Identification and validation of cuproptosis‐related molecular clusters in non‐alcoholic fatty liver disease
Changxu Liu, Zhihao Fang, Kai Yang, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 3
Open Access | Times Cited: 6
Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges
Francisco Silva, Tânia Pereira, Inês Neves, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 3, pp. 480-480
Open Access | Times Cited: 28
Intelligent oncology: The convergence of artificial intelligence and oncology
Bo Lin, Zhibo Tan, Yaqi Mo, et al.
Journal of the National Cancer Center (2022) Vol. 3, Iss. 1, pp. 83-91
Open Access | Times Cited: 26
Artificial intelligence in oncologic imaging
Melissa Chen, Admir Terzić, Anton S. Becker, et al.
European Journal of Radiology Open (2022) Vol. 9, pp. 100441-100441
Open Access | Times Cited: 25
Two-dimensional reciprocal cross entropy multi-threshold combined with improved firefly algorithm for lung parenchyma segmentation of COVID-19 CT image
Guowei Wang, Shuli Guo, Lina Han, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103933-103933
Open Access | Times Cited: 23
Systematic Review, Meta-Analysis and Radiomics Quality Score Assessment of CT Radiomics-Based Models Predicting Tumor EGFR Mutation Status in Patients with Non-Small-Cell Lung Cancer
Mehdi Felfli, Yan Liu, Fadila Zerka, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 14, pp. 11433-11433
Open Access | Times Cited: 16
Expanding Role of Advanced Image Analysis in CT-detected Indeterminate Pulmonary Nodules and Early Lung Cancer Characterization
Ashley E. Prosper, Michael N. Kammer, Fabien Maldonado, et al.
Radiology (2023) Vol. 309, Iss. 1
Closed Access | Times Cited: 16
Intelligent deep learning algorithm for lung cancer detection and classification
N. Sudhir Reddy, V. Khanaa
Bulletin of Electrical Engineering and Informatics (2023) Vol. 12, Iss. 3, pp. 1747-1754
Open Access | Times Cited: 13
Contrast Enhanced CT Radiogenomics in a Retrospective NSCLC Cohort: Models, Attempted Validation of a Published Model and the Relevance of the Clinical Context
Andrés Kohan, Ricarda Hinzpeter, R. Kulanthaivelu, et al.
Academic Radiology (2024) Vol. 31, Iss. 7, pp. 2953-2961
Open Access | Times Cited: 5
Development and Validation of an Efficient MRI Radiomics Signature for Improving the Predictive Performance of 1p/19q Co-Deletion in Lower-Grade Gliomas
Quang-Hien Kha, Viet-Huan Le, Truong Nguyen Khanh Hung, et al.
Cancers (2021) Vol. 13, Iss. 21, pp. 5398-5398
Open Access | Times Cited: 30
Development and validation of novel radiomics-based nomograms for the prediction of EGFR mutations and Ki-67 proliferation index in non-small cell lung cancer
Yinjun Dong, Zekun Jiang, Chaowei Li, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 5, pp. 2658-2671
Open Access | Times Cited: 20
A Radiomics-Based Machine Learning Model for Prediction of Tumor Mutational Burden in Lower-Grade Gliomas
Luu Ho Thanh Lam, Ngan Thy Chu, Thi-Oanh Tran, et al.
Cancers (2022) Vol. 14, Iss. 14, pp. 3492-3492
Open Access | Times Cited: 20
Identification of endoplasmic reticulum stress-associated genes and subtypes for prediction of Alzheimer’s disease based on interpretable machine learning
Yongxing Lai, Xueyan Lin, Chunjin Lin, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 19
Integrating bioinformatics and multiple machine learning to identify mitophagy-related targets for the diagnosis and treatment of diabetic foot ulcers: evidence from transcriptome analysis and drug docking
Hui Guo, Kui Xiao, Yanhua Zheng, et al.
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access | Times Cited: 4
Artificial intelligence methods available for cancer research
Ankita Murmu, Balázs Győrffy
Frontiers of Medicine (2024) Vol. 18, Iss. 5, pp. 778-797
Open Access | Times Cited: 4
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