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:

Functional-structural sub-region graph convolutional network (FSGCN): Application to the prognosis of head and neck cancer with PET/CT imaging
Wenbing Lv, Zidong Zhou, Junyi Peng, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 230, pp. 107341-107341
Open Access | Times Cited: 8

Showing 8 citing articles:

Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment
Chaoyi Zhang, Jin Xu, Rong Tang, et al.
Journal of Hematology & Oncology (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 48

LMSST-GCN: Longitudinal MRI sub-structural texture guided graph convolution network for improved progression prediction of knee osteoarthritis
Wenbing Lv, Junyi Peng, Jiaping Hu, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 261, pp. 108600-108600
Closed Access

Multi-Level fusion graph neural network: Application to PET and CT imaging for risk stratification of head and neck cancer
Junyi Peng, Lihong Peng, Zidong Zhou, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106137-106137
Closed Access | Times Cited: 3

BAF-Net: bidirectional attention-aware fluid pyramid feature integrated multimodal fusion network for diagnosis and prognosis
Huiqin Wu, Lihong Peng, Dongyang Du, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 10, pp. 105007-105007
Open Access | Times Cited: 1

Methodological evaluation of original articles on radiomics and machine learning for outcome prediction based on positron emission tomography (PET)
Julian M.M. Rogasch, Kuangyu Shi, David Kersting, et al.
Nuklearmedizin - NuclearMedicine (2023) Vol. 62, Iss. 06, pp. 361-369
Open Access | Times Cited: 2

Subregion-specific 18F-FDG PET-CT radiomics for the pre-treatment prediction of EGFR mutation status in solid lung adenocarcinoma
Yun Wang
American Journal of Nuclear Medicine and Molecular Imaging (2024) Vol. 14, Iss. 2, pp. 134-143
Open Access

PET-based lesion graphs meet clinical data: An interpretable cross-attention framework for DLBCL treatment response prediction
Oriane Thiery, Mira Rizkallah, Clément Bailly, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 120, pp. 102481-102481
Open Access

Graph-Based Multimodal Multi-lesion DLBCL Treatment Response Prediction from PET Images
Oriane Thiery, Mira Rizkallah, Clément Bailly, et al.
Lecture notes in computer science (2023), pp. 103-112
Closed Access

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