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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 1-25 of 68 citing articles:

Application of radiomics and machine learning in head and neck cancers
Zhouying Peng, Yumin Wang, Yaxuan Wang, et al.
International Journal of Biological Sciences (2021) Vol. 17, Iss. 2, pp. 475-486
Open Access | Times Cited: 77
Artificial Intelligence for Thyroid Nodule Characterization: Where Are We Standing?
Salvatore Sorrenti, Vincenzo Dolcetti, Maija Radziņa, et al.
Cancers (2022) Vol. 14, Iss. 14, pp. 3357-3357
Open Access | Times Cited: 68
Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
Nian‐Nian Zhong, Hanqi Wang, Xinyue Huang, et al.
Seminars in Cancer Biology (2023) Vol. 95, pp. 52-74
Closed Access | Times Cited: 40
Radiomics Applications in Head and Neck Tumor Imaging: A Narrative Review
Mario Tortora, Laura Gemini, Alessandra Scaravilli, et al.
Cancers (2023) Vol. 15, Iss. 4, pp. 1174-1174
Open Access | Times Cited: 29
Machine Learning Meets Cancer
Elena V. Varlamova, Maria A. Butakova, Vlada V. Semyonova, et al.
Cancers (2024) Vol. 16, Iss. 6, pp. 1100-1100
Open Access | Times Cited: 10
Developments and future prospects of personalized medicine in head and neck squamous cell carcinoma diagnoses and treatments
Shalindu Malshan Jayawickrama, Piyumi Madhushani Ranaweera, Roshan Pradeep, et al.
Cancer Reports (2024) Vol. 7, Iss. 3
Open Access | Times Cited: 8
Machine intelligence in non-invasive endocrine cancer diagnostics
Nicole M. Thomasian, Ihab R. Kamel, Harrison X. Bai
Nature Reviews Endocrinology (2021) Vol. 18, Iss. 2, pp. 81-95
Open Access | Times Cited: 41
Artificial intelligence in multiparametric magnetic resonance imaging: A review
Cheng Li, Wen Li, Chenyang Liu, et al.
Medical Physics (2022) Vol. 49, Iss. 10
Closed Access | Times Cited: 33
The progress of radiomics in thyroid nodules
XiaoFan Gao, Xuan Ran, Wei Ding
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 16
Radiomics in Differentiated Thyroid Cancer and Nodules: Explorations, Application, and Limitations
Yuan Cao, Xiao Zhong, Wei Diao, et al.
Cancers (2021) Vol. 13, Iss. 10, pp. 2436-2436
Open Access | Times Cited: 39
A Clinical-Radiomics Nomogram for Functional Outcome Predictions in Ischemic Stroke
Hao Wang, Yi Sun, Yaqiong Ge, et al.
Neurology and Therapy (2021) Vol. 10, Iss. 2, pp. 819-832
Open Access | Times Cited: 36
Ultrasound-based radiomics analysis for preoperative prediction of central and lateral cervical lymph node metastasis in papillary thyroid carcinoma: a multi-institutional study
Yuyang Tong, Jingwen Zhang, Yi Wei, et al.
BMC Medical Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 24
Novel MRI-Based CAD System for Early Detection of Thyroid Cancer Using Multi-Input CNN
Naglah Ahmed, Fahmi Khalifa, Reem Khaled, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3878-3878
Open Access | Times Cited: 32
The Application of Artificial Intelligence in Thyroid Nodules: A Systematic Review Based on Bibliometric Analysis
Yun Peng, Tongtong Wang, Jingzhi Wang, et al.
Endocrine Metabolic & Immune Disorders - Drug Targets (2024) Vol. 24, Iss. 11, pp. 1280-1290
Closed Access | Times Cited: 4
A hybrid optimization algorithm‐based feature selection for thyroid disease classifier with rough type‐2 fuzzy support vector machine
Vidhushavarshini Sureshkumar, Sathiyabhama Balasubramaniam, Vinayakumar Ravi, et al.
Expert Systems (2021) Vol. 39, Iss. 1
Closed Access | Times Cited: 25
Texture and shape analysis of diffusion‐weighted imaging for thyroid nodules classification using machine learning
Ahmed Sharafeldeen, Mohamed Elsharkawy, Reem Khaled, et al.
Medical Physics (2021) Vol. 49, Iss. 2, pp. 988-999
Closed Access | Times Cited: 25
Machine learning-based dynamic prediction of lateral lymph node metastasis in patients with papillary thyroid cancer
Sheng-wei Lai, Yunlong Fan, Yuhua Zhu, et al.
Frontiers in Endocrinology (2022) Vol. 13
Open Access | Times Cited: 18
A machine-learning algorithm for distinguishing malignant from benign indeterminate thyroid nodules using ultrasound radiomic features
Xavier M. Keutgen, Hui Li, Kelvin Memeh, et al.
Journal of Medical Imaging (2022) Vol. 9, Iss. 03
Open Access | Times Cited: 15
Iodine Maps from Dual-Energy CT to Predict Extrathyroidal Extension and Recurrence in Papillary Thyroid Cancer Based on a Radiomics Approach
Xiao‐Quan Xu, Yan Zhou, G.-Y. Su, et al.
American Journal of Neuroradiology (2022) Vol. 43, Iss. 5, pp. 748-755
Open Access | Times Cited: 14
Radiomics features from whole thyroid gland tissue for prediction of cervical lymph node metastasis in the patients with papillary thyroid carcinoma
Siyuan Lu, Yongzhen Ren, Chao Lu, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 14, pp. 13005-13016
Open Access | Times Cited: 8
Radiomics based on multiparametric MRI for extrathyroidal extension feature prediction in papillary thyroid cancer
Ran Wei, Hao Wang, Lanyun Wang, et al.
BMC Medical Imaging (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 20
Prediction of treatment response to transarterial radioembolization of liver metastases: Radiomics analysis of pre-treatment cone-beam CT: A proof of concept study
Adrian Kobe, Juliana Zgraggen, Florian Messmer, et al.
European Journal of Radiology Open (2021) Vol. 8, pp. 100375-100375
Open Access | Times Cited: 18
Prospective clinical research of radiomics and deep learning in oncology: A translational review
Xingping Zhang, Yanchun Zhang, Guijuan Zhang, et al.
Critical Reviews in Oncology/Hematology (2022) Vol. 179, pp. 103823-103823
Closed Access | Times Cited: 13
The Current Progress of Artificial Intelligence in Approach to Thyroid Nodules: A Narrative Review
Parsa Yazdanpanahi, Farnaz Atighi, Alireza Keshtkar, et al.
Shiraz E-Medical Journal (2024) Vol. 25, Iss. 11
Open Access | Times Cited: 2
Thyroid Cancer Computer-Aided Diagnosis System using MRI-Based Multi-Input CNN Model
Ahmed M. Naglah, Fahmi Khalifa, Reem Khaled, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2021)
Closed Access | Times Cited: 17
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