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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 multiparametric MRI radiomics for predicting the aggressiveness of papillary thyroid carcinoma
Hao Wang, Bin Song, Ningrong Ye, et al.
European Journal of Radiology (2019) Vol. 122, pp. 108755-108755
Closed Access | Times Cited: 68

Showing 26-50 of 68 citing articles:

Research Progress of Deep Learning in Thyroid Nodule Imaging Examination
Ranran Dai, Wenxian Peng
Lecture notes in electrical engineering (2024), pp. 307-317
Closed Access | Times Cited: 2
Role of advanced MRI sequences for thyroid lesions assessment. A narrative review
Teodoro Martín‐Noguerol, Eloísa Santos‐Armentia, José Fernandez-Palomino, et al.
European Journal of Radiology (2024) Vol. 176, pp. 111499-111499
Closed Access | Times Cited: 2
The superior value of radiomics to sonographic assessment for ultrasound-based evaluation of extrathyroidal extension in papillary thyroid carcinoma: a retrospective study
Hui Zhu, Hongxia Luo, Yanyan Li, et al.
Radiology and Oncology (2024) Vol. 58, Iss. 3, pp. 386-396
Open Access | Times Cited: 2
Predicting Thyroid Dysfunction Using Machine Learning Techniques
Thirumala Akash K, U. F. Mohammed, T. Nitesh Kumar, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 6
Diagnostic Utility of Radiomics in Thyroid and Head and Neck Cancers
Maryam Gul, Kimberley-Jane C. Bonjoc, David Gorlin, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 13
Prediction Model between Serum Vitamin D and Neurological Deficit in Cerebral Infarction Patients Based on Machine Learning
Hailiu Zhang, Guotao Yang, Aiqin Dong
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-6
Open Access | Times Cited: 9
The Combination of Whole-Brain Features and Local-Lesion Features in DSC-PWI May Improve Ischemic Stroke Outcome Prediction
Yingwei Guo, Yingjian Yang, Mingming Wang, et al.
Life (2022) Vol. 12, Iss. 11, pp. 1847-1847
Open Access | Times Cited: 9
A machine learning-based sonomics for prediction of thyroid nodule malignancies
Mohsen Arabi, Mostafa Nazari, Ali Salahshour, et al.
Endocrine (2023) Vol. 82, Iss. 2, pp. 326-334
Closed Access | Times Cited: 5
APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS OF THYROID CANCER WITH ENHANCED COMPUTED TOMOGRAPHY
Na Han, Jinrui Fan, Dongwei Chen, et al.
Journal of Mechanics in Medicine and Biology (2024) Vol. 24, Iss. 02
Open Access | Times Cited: 1
Prediction of Follicular Thyroid Neoplasm and Malignancy of Follicular Thyroid Neoplasm Using Multiparametric MRI
Bin Song, Tingting Zheng, Hao Wang, et al.
Deleted Journal (2024)
Open Access | Times Cited: 1
Machine learning for thyroid cancer diagnosis
Feyzullah Temurtaş, Kutlucan Görür, Onursal Çetin, et al.
Elsevier eBooks (2023), pp. 117-145
Closed Access | Times Cited: 3
Ultrasound-Based Nomogram for Predicting the Aggressiveness of Papillary Thyroid Carcinoma in Adolescents and Young Adults
Peixuan Sun, Yi Wei, Cai Chang, et al.
Academic Radiology (2023) Vol. 31, Iss. 2, pp. 523-535
Closed Access | Times Cited: 3
Rapid diagnosis of papillary thyroid carcinoma with machine learning and probe electrospray ionization mass spectrometry
Ye Wang, Zhenhe Chen, Keisuke Shima, et al.
Journal of Mass Spectrometry (2022) Vol. 57, Iss. 6
Closed Access | Times Cited: 5
Dependence of radiomic features on pixel size affects the diagnostic performance of radiomic signature for the invasiveness of pulmonary ground-glass nodule
Guangyu Tao, Lekang Yin, Dejun Shi, et al.
British Journal of Radiology (2020) Vol. 94, Iss. 1118
Open Access | Times Cited: 6
Reinforcement learning for content's customization: a first step of experimentation in Skyscanner
Chiara Giachino, Luigi Bollani, Alessandro Bonadonna, et al.
Industrial Management & Data Systems (2021) Vol. 121, Iss. 6, pp. 1417-1434
Closed Access | Times Cited: 6
Multiparametric radiomics for predicting the aggressiveness of papillary thyroid carcinoma using hyperspectral images
Ka'toria Edwards, Martin Halicek, James V. Little, et al.
Medical Imaging 2018: Computer-Aided Diagnosis (2021), pp. 78-78
Open Access | Times Cited: 6
Deep Learning Approach for Analyzing and Predicting Thyroid Cancer in Computed Tomography Images: Review
Leelavathi Arepalli, K. Venkata Rao, Madhavi Dabbiru
SN Computer Science (2023) Vol. 4, Iss. 5
Closed Access | Times Cited: 2
Early Prognostication of Critical Patients With Spinal Cord Injury
Guoxin Fan, Huaqing Liu, Sheng Yang, et al.
Spine (2023) Vol. 49, Iss. 11, pp. 754-762
Closed Access | Times Cited: 2
Data-driven decision model based on local two-stage weighted ensemble learning
Che Xu, Wenjun Chang, Weiyong Liu
Annals of Operations Research (2022) Vol. 325, Iss. 2, pp. 995-1028
Closed Access | Times Cited: 4
Fast Classification of Thyroid Nodules with Ultrasound Guided-Fine Needle Biopsy Samples and Machine Learning
Ye Wang, Zhenhe Chen, Lin Zhang, et al.
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5364-5364
Open Access | Times Cited: 3
Prediction model based on MRI morphological features for distinguishing benign and malignant thyroid nodules
Tingting Zheng, Lanyun Wang, Hao Wang, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access
A clinical-radiomics combined model based on carotid atherosclerotic plaque for prediction of ischemic stroke
Na Han, Wanjun Hu, Yurong Ma, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access
Unveiling Hidden Carcinomas: nonenhanced CT-Based Radiomics Model Enhances PTC Detection in Hashimoto's Thyroiditis Running title: CT radiomics identifies carcinoma in HT
Yun Peng, Kaiyao Huang, Zijian Gong, et al.
Research Square (Research Square) (2024)
Closed Access
A Multimodal MRI-based Framework for Thyroid Cancer Diagnosis Using eXplainable Machine Learning
Ahmed Sharafeldeen, Hossam Magdy Balaha, Ali Mahmoud, et al.
Lecture notes in computer science (2024), pp. 438-452
Closed Access
Modern Thyroid Cancer Diagnosis: A Review of AI-Powered Algorithms for Detection and Classification
Kuntala Boruah, Lachit Dutta, Manash Kapil Pathak
INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING (2024)
Closed Access

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