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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:

Deep neural network pulmonary nodule segmentation methods for CT images: Literature review and experimental comparisons
Lijia Zhi, Wujun Jiang, Shaomin Zhang, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107321-107321
Open Access | Times Cited: 17

Showing 17 citing articles:

A Deep Learning Review of ResNet Architecture for Lung Disease Identification in CXR Image
Syifa Auliyah Hasanah, Anindya Apriliyanti Pravitasari, Atje Setiawan Abdullah, et al.
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13111-13111
Open Access | Times Cited: 23
A Dual-Branch Framework With Prior Knowledge for Precise Segmentation of Lung Nodules in Challenging CT Scans
Wujun Jiang, Lijia Zhi, Shaomin Zhang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 3, pp. 1540-1551
Closed Access | Times Cited: 6
Improved lung nodule segmentation with a squeeze excitation dilated attention based residual UNet
Dhafer Alhajim, Karim Ansari-Asl, Gholamreza Akbarizadeh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
CNN-Based Image Segmentation Approach in Brain Tumor Classification: A Review
Nurul Huda, Ku Ruhana Ku‐Mahamud
(2025), pp. 66-66
Open Access
Integrating multimodal features to predict the malignancy of pulmonary ground−glass nodules: a multicenter prospective model development and validation study
Yuanhui Wei, Wei Zhao, Zhenhua Wu, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
CSEA-Net: A channel–spatial enhanced attention network for lung tumor segmentation on CT images
W Liu, Jinhao Sun, Han Li, et al.
iScience (2025) Vol. 28, Iss. 3, pp. 111974-111974
Open Access
Landscape of 2D Deep Learning Segmentation Networks Applied to CT Scan from Lung Cancer Patients: A Systematic Review
Somayeh Sadat Mehrnia, Zhino Safahi, Amin Mousavi, et al.
Deleted Journal (2025)
Closed Access
Dual‐branch feature fusion S3D V‐Net network for lung nodules segmentation
Xiaoru Xu, Lingyan Du, Dongsheng Yin
Journal of Applied Clinical Medical Physics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 3
Nodule Detection Using Local Binary Pattern Features to Enhance Diagnostic Decisions
Umar Rashid, Arfan Jaffar, Muhammad Rashid, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 3, pp. 3377-3390
Open Access | Times Cited: 1
HD-Former: A hierarchical dependency Transformer for medical image segmentation
Haifan Wu, Weidong Min, Di Gai, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108671-108671
Closed Access | Times Cited: 1
Feature ensemble network for medical image segmentation with multi‐scale atrous transformer
Di Gai, Yuhan Geng, Xia Huang, et al.
IET Image Processing (2024) Vol. 18, Iss. 11, pp. 3082-3092
Open Access | Times Cited: 1
Lung Cancer Surgery in Octogenarians: Implications and Advantages of Artificial Intelligence in the Preoperative Assessment
Massimiliano Bassi, Rita Vaz Sousa, Beatrice Zacchini, et al.
Healthcare (2024) Vol. 12, Iss. 7, pp. 803-803
Open Access
Computer‐aided diagnosis of cystic lung diseases using CT scans and deep learning
Zhibin Zhu, Wenyu Xing, Yanping Yang, et al.
Medical Physics (2024) Vol. 51, Iss. 9, pp. 5911-5926
Closed Access
Optical coherence tomography image recognition of diabetic retinopathy based on deep transfer learning
Lijuan Wang, Bencong Li, Junli Pan, et al.
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 3, pp. 101026-101026
Open Access
Pulmonary Nodule Segmentation Using Deep Learning: A Review
Yong Wang, Seri Mastura Mustaza, Mohammad Syuhaimi Ab–Rahman
IEEE Access (2024) Vol. 12, pp. 119039-119055
Open Access
Correspondence on 'Non-invasive multimodal CT deep learning biomarker to predict pathological complete response of non-small cell lung cancer following neoadjuvant immunochemotherapy: a multicenter study' by Yeet al
Qiuping Ren
Journal for ImmunoTherapy of Cancer (2024) Vol. 12, Iss. 11, pp. e010828-e010828
Open Access
A Boundary Aware Dual-Branch Neural Network for Lung Nodule Segmentation
Zongli Jiang, Qingzhou Zhao, Jinli Zhang, et al.
Lecture notes in computer science (2024), pp. 200-214
Closed Access
Unveiling Disparities in Polycystic Ovary Syndrome Detection: A Complex Comparative Study Integrating Deep Neural Networks and Cutting-edge Data Visualization Modalities
Advaith Chandra Srivastav, Parthiban Krishnamoorthy
(2023), pp. 1-6
Closed Access
Enhancing Pulmonary Care: The Pivotal Role of Segmentation and Automated Analysis in Advanced Pulmonary Imaging
Radu Marian Gheorghiu, A.T. Tita, Iustina Violeta Stan, et al.
Pneumologia (2023) Vol. 72, Iss. 1, pp. 15-22
Open Access
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