Open Access Helper

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:

A dual-transformation with contrastive learning framework for lymph node metastasis prediction in pancreatic cancer
Xiahan Chen, Weishen Wang, Yu Jiang, et al.
Medical Image Analysis (2023) Vol. 85, pp. 102753-102753
Closed Access | Times Cited: 9

Showing 9 citing articles:

New insights into disease dynamics and treatment interventions with PID controller-based therapeutic strategies for pancreatic cancer
David Amilo, Khadijeh Sadri, Muhammad Farman, et al.
Computers & Mathematics with Applications (2025) Vol. 181, pp. 133-162
Closed Access
Artificial Intelligence in Pancreatic Image Analysis: A Review
W.J. Liu, Bairui Zhang, Tao Liu, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4749-4749
Open Access | Times Cited: 2
Radiogenomic analysis for predicting lymph node metastasis and molecular annotation of radiomic features in pancreatic cancer
Yi Tang, Yi-xi Su, Jin-mei Zheng, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 1
A Deep Learning Framework for Mass-Forming Chronic Pancreatitis and Pancreatic Ductal Adenocarcinoma Classification Based on Magnetic Resonance Imaging
Luda Chen, Kuangzhu Bao, Ying Chen, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 1, pp. 409-427
Open Access
Deep Learning Techniques for Pancreatic Cancer Analysis: A Systematic Review and Implantation Prerequisites
Jasmine Chhikara, Nidhi Goel, Neeru Rathee
Procedia Computer Science (2024) Vol. 235, pp. 3118-3130
Open Access
Early prediction of radiotherapy outcomes in pharyngeal cancer using deep learning on baseline [18F]Fluorodeoxyglucose positron emission Tomography/Computed tomography
Kuo-Chen Wu, Shang-Wen Chen, Ruey‐Feng Chang, et al.
European Journal of Radiology (2024) Vol. 181, pp. 111811-111811
Closed Access
Advances in molecular imaging and targeted therapeutics for lymph node metastasis in cancer: a comprehensive review
Yunhao Wu, Jin Shang, Xinyue Zhang, et al.
Journal of Nanobiotechnology (2024) Vol. 22, Iss. 1
Open Access
Unsupervised Classification of Congenital Inner Ear Malformations Using DeepDiffusion for Latent Space Representation
Paula López Diez, Ján Margeta, Х. М. Диаб, et al.
Lecture notes in computer science (2023), pp. 652-662
Closed Access
Invariant Scattering Transform for Medical Imaging
Md Manjurul Ahsan, Shivakumar Raman, Zahed Siddique
(2023), pp. 127-157
Closed Access
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