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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:

Densely Connected U-Net With Criss-Cross Attention for Automatic Liver Tumor Segmentation in CT Images
Qiang Li, Hong Song, Zenghui Wei, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 6, pp. 3399-3410
Closed Access | Times Cited: 11

Showing 11 citing articles:

Label-Decoupled Medical Image Segmentation With Spatial-Channel Graph Convolution and Dual Attention Enhancement
Qingting Jiang, Hailiang Ye, Bing Yang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 5, pp. 2830-2841
Closed Access | Times Cited: 5
Artificial intelligence-assisted platform performs high detection ability of hepatocellular carcinoma in CT images: an external clinical validation study
Rongxue Shan, Chenhao Pei, Qianrui Fan, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Liver lesion segmentation in ultrasound: A benchmark and a baseline network
Jialu Li, Lei Zhu, Guibao Shen, et al.
Computerized Medical Imaging and Graphics (2025), pp. 102523-102523
Closed Access
HDTN: hybrid duo-transformer network for liver and hepatic tumor segmentation in CT images
D. Mohanapriya, T. Guna Sekar
Evolving Systems (2025) Vol. 16, Iss. 1
Closed Access
A Novel Multi-Scale Channel Attention-Guided Neural Network for Brain Stroke Lesion Segmentation
Zhihua Li, Qiwei Xing, Yanfang Li, et al.
IEEE Access (2023) Vol. 11, pp. 66050-66062
Open Access | Times Cited: 4
Precision and Robust Models on Healthcare Institution Federated Learning for Predicting HCC on Portal Venous CT Images
Chiu‐Han Hsiao, Frank Yeong‐Sung Lin, Tzu-Lung Sun, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 8, pp. 4674-4687
Open Access | Times Cited: 1
Charged Gold Nanoparticles for Target Identification–Alignment and Automatic Segmentation of CT Image-Guided Adaptive Radiotherapy in Small Hepatocellular Carcinoma
Jianjun Lai, Zhizeng Luo, Jiping Liu, et al.
Nano Letters (2024) Vol. 24, Iss. 34, pp. 10614-10623
Open Access | Times Cited: 1
Design of an Efficient Model for Enhanced Liver and Tumor Segmentation Using Advanced Deep Learning Techniques
Senthil Kumar Thiyagarajan, B Arunmozhiselvam, G. Akash, et al.
Deleted Journal (2024) Vol. 2, Iss. 04, pp. 619-627
Open Access
Design of an Efficient Model for Enhanced Liver and Tumor Segmentation Using Advanced Deep Learning Techniques
Shashi Rathore, Parul Sahare
(2024), pp. 1-6
Closed Access
A Survey of Deep Learning Techniques Based on Computed Tomography Images for Detection of Pneumonia
Sharon Quispe, I. Torres Ramírez de Arellano, Pedro Shiguihara-Juárez
(2023), pp. 5-5
Open Access
Denoising with Median and Bilateral on CT images for Liver segmentation
Hải Thanh Nguyễn, My N. Nguyen, Thich Q. Duong, et al.
2022 RIVF International Conference on Computing and Communication Technologies (RIVF) (2022), pp. 59-64
Closed Access
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