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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:

CDA-Net: A contrastive deep adversarial model for prostate cancer segmentation in MRI images
Zhixun Li, Jiancheng Fang, Ruiyun Qiu, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104622-104622
Closed Access | Times Cited: 11

Showing 11 citing articles:

Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture
Fatma M. Talaat, Shaker El–Sappagh, Khaled Alnowaiser, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 25
The Application of Radiomics and AI to Molecular Imaging for Prostate Cancer
William Tapper, Gustavo Carneiro, Christos Mikropoulos, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 3, pp. 287-287
Open Access | Times Cited: 15
Multi-stage fully convolutional network for precise prostate segmentation in ultrasound images
Yu-Jie Feng, Chukwuemeka Clinton Atabansi, Jing Nie, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 3, pp. 586-602
Closed Access | Times Cited: 11
Attention-guided multi-scale learning network for automatic prostate and tumor segmentation on MRI
Yuchun Li, Yuanyuan Wu, Mengxing Huang, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107374-107374
Closed Access | Times Cited: 10
SCAR-Net: Spine Segmentation in MRI based on Cross Attention and Recognition-assisted Label Fusion
Xinyu Lei, Mingwei Wang, Rui Wang, et al.
Journal of improved oil and gas recovery technology. (2025) Vol. 8, Iss. 2, pp. 23-30
Closed Access
SSCK-Net: Spine segmentation in MRI based on cross attention and key-points recognition-assisted learner
Haiyan Li, Zhixin Wang, Wei Shen, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105278-105278
Closed Access | Times Cited: 5
Prior-based 3D U-Net: A model for knee-cartilage segmentation in MRI images
Hao Liu, Yiran Sun, Xiangyun Cheng, et al.
Computers & Graphics (2023) Vol. 115, pp. 167-180
Closed Access | Times Cited: 4
iPCa-Net: A CNN-based framework for predicting incidental prostate cancer using multiparametric MRI
Lijie Wen, Simiao Wang, Xianwei Pan, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 110, pp. 102309-102309
Closed Access | Times Cited: 4
Image-guided prostate biopsy robots: A review
Yongde Zhang, Qihang Yuan, Hafiz Muhammad Muzzammil, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 8, pp. 15135-15166
Open Access | Times Cited: 3
iPCa-Former: A Multi-Task Transformer Framework for Perceiving Incidental Prostate Cancer
Xianwei Pan, Simiao Wang, Yunan Liu, et al.
IEEE Signal Processing Letters (2024) Vol. 31, pp. 785-789
Closed Access
Self-Supervised Contrastive Learning for Automated Segmentation of Brain Tumor MRI Images in Schizophrenia
Lingmiao Meng, Zhao Li-wei, Xin Yi, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access
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