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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:

Strategies to develop radiomics and machine learning models for lung cancer stage and histology prediction using small data samples
Leonardo Ubaldi, Vito Valenti, R.F. Borgese, et al.
Physica Medica (2021) Vol. 90, pp. 13-22
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Systematic review of machine learning-based radiomics approach for predicting microsatellite instability status in colorectal cancer
Qiang Wang, Jianhua Xu, Anrong Wang, et al.
La radiologia medica (2023) Vol. 128, Iss. 2, pp. 136-148
Open Access | Times Cited: 24
Machine Learning and Computer Vision Based Methods for Cancer Classification: A Systematic Review
Sufiyan Bashir Mukadam, Hemprasad Yashwant Patil
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 5, pp. 3015-3050
Closed Access | Times Cited: 8
Radiomics and dosiomics approaches to estimate lung function after stereotactic body radiation therapy in patients with lung tumors
Yoshiro Ieko, Noriyuki Kadoya, Shohei Tanaka, et al.
Radiological Physics and Technology (2025)
Closed Access | Times Cited: 1
Recent Applications of Artificial Intelligence in Radiotherapy: Where We Are and Beyond
Miriam Santoro, Silvia Strolin, Giulia Paolani, et al.
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3223-3223
Open Access | Times Cited: 31
Radiomics and deep learning methods for the prediction of 2-year overall survival in LUNG1 dataset
Anna Braghetto, Francesca Marturano, Marta Paiusco, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23
A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC
Anna Theresa Stüber, Stefan Coors, Balthasar Schachtner, et al.
Investigative Radiology (2023) Vol. 58, Iss. 12, pp. 874-881
Open Access | Times Cited: 15
Evaluation of the performance of both machine learning models using PET and CT radiomics for predicting recurrence following lung stereotactic body radiation therapy: A single‐institutional study
Hikaru Nemoto, Masahide Saito, Yoko Satoh, et al.
Journal of Applied Clinical Medical Physics (2024) Vol. 25, Iss. 7
Open Access | Times Cited: 5
The Evolution of Artificial Intelligence in Medical Imaging: From Computer Science to Machine and Deep Learning
Michele Avanzo, Joseph Stancanello, G. Pirrone, et al.
Cancers (2024) Vol. 16, Iss. 21, pp. 3702-3702
Open Access | Times Cited: 5
Comparing 2D and 3D Feature Extraction Methods for Lung Adenocarcinoma Prediction Using CT Scans: A Cross-Cohort Study
Margarida Gouveia, T. Santos Mendes, Eduardo M. Rodrigues, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1148-1148
Open Access
Medical imaging and artificial intelligence in radiotherapy of malignant tumors
G. Panshin, Н. В. Нуднов
Medical Visualization (2025)
Closed Access
Clinician-driven automated data preprocessing in nuclear medicine AI environments
Denis Krajnc, Clemens P. Spielvogel, Boglarka Ecsedi, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Open Access
Development and validation of a feature extraction-based logical anthropomorphic diagnostic system for early gastric cancer: A case-control study
Jiazhu Li, Yijie Zhu, Zehua Dong, et al.
EClinicalMedicine (2022) Vol. 46, pp. 101366-101366
Open Access | Times Cited: 17
Adaptive Machine Learning Approach for Importance Evaluation of Multimodal Breast Cancer Radiomic Features
Giulio Del Corso, Danila Germanese, Claudia Caudai, et al.
Deleted Journal (2024)
Open Access | Times Cited: 3
Specific feature recognition on group specific networks (SFR-GSN): a biomarker identification model for cancer stages
Bolin Chen, Yuxin Wang, Jinlei Zhang, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 3
Tackling the small data problem in medical image classification with artificial intelligence: a systematic review
Stefano Piffer, Leonardo Ubaldi, Sabina Tangaro, et al.
Progress in Biomedical Engineering (2024) Vol. 6, Iss. 3, pp. 032001-032001
Open Access | Times Cited: 3
Classification of Histological Types and Stages in Non-small Cell Lung Cancer Using Radiomic Features Based on CT Images
Jing Lin, Yunjie Yu, Xianlong Zhang, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 3, pp. 1029-1037
Closed Access | Times Cited: 9
Prediction, analysis and suggestions of shale gas production in China based on a new grey model with four parameters
Bo Zeng, Gang Chen, Wei Meng, et al.
Alexandria Engineering Journal (2023) Vol. 86, pp. 258-276
Open Access | Times Cited: 8
Automated meniscus segmentation and tear detection of knee MRI with a 3D mask-RCNN
Yuanzhe Li, Yi Wang, Kaibin Fang, et al.
European journal of medical research (2022) Vol. 27, Iss. 1
Open Access | Times Cited: 14
A cloud-based deep learning model in heterogeneous data integration system for lung cancer detection in medical industry 4.0
Chang Gu, Chenyang Dai, Xin Shi, et al.
Journal of Industrial Information Integration (2022) Vol. 30, pp. 100386-100386
Closed Access | Times Cited: 13
Deep learning radiomics under multimodality explore association between muscle/fat and metastasis and survival in breast cancer patients
Shidi Miao, Haobo Jia, Ke Cheng, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 12
A Two-Step Feature Selection Radiomic Approach to Predict Molecular Outcomes in Breast Cancer
Valentina Brancato, Nadia Brancati, Giuseppina Esposito, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1552-1552
Open Access | Times Cited: 6
AI/ML advances in non-small cell lung cancer biomarker discovery
Minal Çalışkan, Koichi Tazaki
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 6
CT-derived radiomic analysis for predicting the survival rate of patients with non-small cell lung cancer receiving radiotherapy
Nannan Zhang, Xinxin Zhang, Junheng Li, et al.
Physica Medica (2023) Vol. 107, pp. 102546-102546
Open Access | Times Cited: 5
Cancer prognosis with machine learning-based modified meta-heuristics and weighted gradient boosting algorithm
P. Saranya, P. Asha
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 6, pp. 2209-2225
Closed Access | Times Cited: 5
Active bone marrow segmentation based on computed tomography imaging in anal cancer patients: A machine-learning-based proof of concept
C. Fiandra, Samanta Rosati, Francesca Arcadipane, et al.
Physica Medica (2023) Vol. 113, pp. 102657-102657
Closed Access | Times Cited: 5
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