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:

Auto-segmentation of head and neck tumors in positron emission tomography images using non-local means and morphological frameworks
Sahel Heydarheydari, Mohammad Javad Tahmasebi Birgani, Seyed Masoud Rezaeijo
Polish Journal of Radiology (2023) Vol. 88, pp. 365-370
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Radiomics and Deep Features: Robust Classification of Brain Hemorrhages and Reproducibility Analysis Using a 3D Autoencoder Neural Network
Salar Bijari, Sahar Sayfollahi, S. Rouhani, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 643-643
Open Access | Times Cited: 17

Artificial intelligence performance in detecting lymphoma from medical imaging: a systematic review and meta-analysis
Anying Bai, Mingyu Si, Peng Xue, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 13

The value of machine learning approaches in the diagnosis of early gastric cancer: a systematic review and meta-analysis
Yiheng Shi, Haohan Fan, Li Li, et al.
World Journal of Surgical Oncology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 10

Clinical feasibility of deep learning-based synthetic CT images from T2-weighted MR images for cervical cancer patients compared to MRCAT
Hojin Kim, Sang Kyun Yoo, Jin Sung Kim, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5

Multi-modal data integration of dosiomics, radiomics, deep features, and clinical data for radiation-induced lung damage prediction in breast cancer patients
Li Yan, Jun Jiang, X. Li, et al.
Journal of Radiation Research and Applied Sciences (2025) Vol. 18, Iss. 2, pp. 101389-101389
Closed Access

Novel attention-enhanced Multi-Task Deep learning for knee osteoarthritis (KOA) grading and localization in X-ray imaging of basketball players
Li Chen, Zhanguo Su
Journal of Radiation Research and Applied Sciences (2025) Vol. 18, Iss. 2, pp. 101442-101442
Closed Access

Application of machine learning-based multi-sequence MRI radiomics in diagnosing anterior cruciate ligament tears
Qi Cheng, Haoran Lin, Jie Zhao, et al.
Journal of Orthopaedic Surgery and Research (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 4

Deep learning for risk stratification of thymoma pathological subtypes based on preoperative CT images
Wei Liu, Wei Wang, Ruihua Guo, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4

Prediction of positive pulmonary nodules based on machine learning algorithm combined with central carbon metabolism data
Jianjun Liu, Wenbin Shen, Qirong Qin, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 2
Open Access | Times Cited: 2

Advantage of whole-mount histopathology in prostate cancer: current applications and future prospects
Lewei Duan, Zheng Liu, Fangning Wan, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2

Clinico-biological-radiomics (CBR) based machine learning for improving the diagnostic accuracy of FDG-PET false-positive lymph nodes in lung cancer
Caiyue Ren, Fuquan Zhang, Jiangang Zhang, et al.
European journal of medical research (2023) Vol. 28, Iss. 1
Open Access | Times Cited: 6

The Role of the NF-kB Pathway in Intracranial Aneurysms
Laurenţiu Andrei Blaj, Andrei Ionuţ Cucu, Bogdan Ionel Tamba, et al.
Brain Sciences (2023) Vol. 13, Iss. 12, pp. 1660-1660
Open Access | Times Cited: 5

Evaluating the consistency in different methods for measuring left atrium diameters
Junyan Yue, Kai Ji, Haipeng Liu, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1

Diagnostic value of one-stop CT energy spectrum and perfusion for angiogenesis in colon and rectum cancer
Ling Zhao, Wei Zhou, Yu Fu, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1

Artificial intelligence assisted ultrasound for the non-invasive prediction of axillary lymph node metastasis in breast cancer
Xuefei Wang, Lunyiu Nie, Qingli Zhu, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1

Fully automated 3D body composition analysis and its association with overall survival in head and neck squamous cell carcinoma patients
Miłosz Rozynek, Daniel Gut, Iwona Kucybała, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 3

RGGC-UNet: Accurate Deep Learning Framework for Signet Ring Cell Semantic Segmentation in Pathological Images
Tengfei Zhao, Chong Fu, Wei Song, et al.
Bioengineering (2023) Vol. 11, Iss. 1, pp. 16-16
Open Access | Times Cited: 3

Assessing Machine Learning Models for Predicting Age with Intracranial Vessel Tortuosity and Thickness Information
Hoon-Seok Yoon, J. E. Oh, Yoon‐Chul Kim
Brain Sciences (2023) Vol. 13, Iss. 11, pp. 1512-1512
Open Access | Times Cited: 2

Survival analysis of patients with extrahepatic cholangiocarcinoma: a nomogram for clinical and MRI features
Yanyan Zeng, Xiaoyong Wang, Jiaojiao Wu, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access

Improving Generalizability of PET DL Algorithms: List-Mode Reconstructions Improve DOTATATE PET Hepatic Lesion Detection Performance
Xinyi Yang, Michael Silosky, Jonathan Wehrend, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 226-226
Open Access

Light on Alzheimer’s disease: from basic insights to preclinical studies
Jie Mi, Chao Liu, Honglei Chen, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access

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