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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:

Res-trans networks for lung nodule classification
Dongxu Liu, Fenghui Liu, Yun Tie, et al.
International Journal of Computer Assisted Radiology and Surgery (2022) Vol. 17, Iss. 6, pp. 1059-1068
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Artificial intelligence in lung cancer screening: Detection, classification, prediction, and prognosis
Wu Quanyang, Yao Huang, Sicong Wang, et al.
Cancer Medicine (2024) Vol. 13, Iss. 7
Open Access | Times Cited: 15
Lung Cancer Detection Using Modified AlexNet Architecture and Support Vector Machine
Iftikhar Naseer, Tehreem Masood, Sheeraz Akram, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 1, pp. 2039-2054
Open Access | Times Cited: 38
Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review
Hazrat Ali, Farida Mohsen, Zubair Shah
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 21
Is Attention all You Need in Medical Image Analysis? A Review
Giorgos Papanastasiou, Νικόλαος Δικαίος, Jiahao Huang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 3, pp. 1398-1411
Open Access | Times Cited: 17
Enhanced lung cancer detection: Integrating improved random walker segmentation with artificial neural network and random forest classifier
Sneha S. Nair, V. N. Meena Devi, Saju Bhasi
Heliyon (2024) Vol. 10, Iss. 7, pp. e29032-e29032
Open Access | Times Cited: 5
A multi-attention deep architecture to stratify lung nodule malignancy from CT scans
Alejandra Moreno, Andrea Rueda, Fabio Martínez
Medical Engineering & Physics (2025) Vol. 137, pp. 104305-104305
Closed Access
Pulmonary Nodule Detection, Segmentation and Classification Using Deep Learning: A Comprehensive Literature Review
Ioannis Marinakis, Konstantinos Κarampidis, Giorgos Papadourakis
BioMedInformatics (2024) Vol. 4, Iss. 3, pp. 2043-2106
Open Access | Times Cited: 3
Ensemble framework based on attributes and deep features for benign-malignant classification of lung nodule
Jianping Qiao, Yanling Fan, Mowen Zhang, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104217-104217
Closed Access | Times Cited: 14
基于双路径交叉融合网络的肺结节CT图像分类方法
杨萍 Yang Ping, 张鑫 Zhang Xin, 温帆 Wen Fan, et al.
Laser & Optoelectronics Progress (2024) Vol. 61, Iss. 8, pp. 0837002-0837002
Open Access | Times Cited: 2
Performance analysis of various deep learning models based on Max-Min CNN for lung nodule classification on CT images
Rekka Mastouri, Nawrès Khlifa, Henda Nèji, et al.
Machine Vision and Applications (2024) Vol. 35, Iss. 4
Closed Access | Times Cited: 2
MSM-ViT: A multi-scale MobileViT for pulmonary nodule classification using CT images
Keyan Cao, Hangbo Tao, Zhiqiong Wang, et al.
Journal of X-Ray Science and Technology (2023) Vol. 31, Iss. 4, pp. 731-744
Closed Access | Times Cited: 6
Classification of benign and malignant pulmonary nodule based on local-global hybrid network
Xin Zhang, Ping Yang, Ji Feng Tian, et al.
Journal of X-Ray Science and Technology (2024) Vol. 32, Iss. 3, pp. 689-706
Closed Access | Times Cited: 1
Effective Framework for Pulmonary Nodule Classification from CT Images Using the Modified Gradient Boosting Method
Harsha Vardhan Donga, Jaya Sai Aditya Nandan Karlapati, Harsha Sri Sumanth Desineedi, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8264-8264
Open Access | Times Cited: 8
Single Modality vs. Multimodality: What Works Best for Lung Cancer Screening?
Joana Sousa, Pedro Verga Matos, Francisco Silva, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5597-5597
Open Access | Times Cited: 4
A proposed methodology for detecting the malignant potential of pulmonary nodules in sarcoma using computed tomographic imaging and artificial intelligence-based models
Esha Baidya Kayal, Shuvadeep Ganguly, Archana Sasi, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 3
Attribute-Enhanced Capsule Network for Pulmonary Nodule Classification
Xu Yang, Qingshan She, Songkai Sun, et al.
Journal of Medical and Biological Engineering (2024) Vol. 44, Iss. 1, pp. 79-89
Closed Access
深度学习在甲状腺结节良恶性分类中的应用进展
张文凯 Zhang Wenkai, 王晓燕 Wang Xiaoyan, 刘静 Liu Jing, et al.
Laser & Optoelectronics Progress (2024) Vol. 61, Iss. 8, pp. 0800002-0800002
Closed Access
SSAL-Net: Semi-supervised network integrating self-supervised adversarial learning for diagnosing subtypes of pulmonary nodules
Yu Fu, Changli Liu, Xiaobo Wang, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106585-106585
Closed Access
A position-enhanced sequential feature encoding model for lung infections and lymphoma classification on CT images
Rui Zhao, Wenhao Li, Xilai Chen, et al.
International Journal of Computer Assisted Radiology and Surgery (2024) Vol. 19, Iss. 10, pp. 2001-2009
Closed Access
Pylung: A Supporting Tool for Comparative Study of ViT and CNN-Based Models Used for Lung Nodules Classification
Felipe Marques, Pedro Duarte Pestana, Vítor Filipe
Lecture notes in networks and systems (2024), pp. 127-137
Closed Access
Weakly‐supervised learning‐based pathology detection and localization in 3D chest CT scans
Aissam Djahnine, Émilien Jupin-Delevaux, Olivier Nempont, et al.
Medical Physics (2024) Vol. 51, Iss. 11, pp. 8272-8282
Open Access
SSTL-FM: Self-supervised transfer learning-based fusion model for the classification of benign-malignant lung nodules
Lu Cao, Jiancheng Li, Junying Gan, et al.
Knowledge-Based Systems (2024) Vol. 305, pp. 112659-112659
Closed Access
Interpretable rough neural network for lung nodule diagnosis
Huanan Bao, Guoyin Wang, Chen Liu, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112450-112450
Closed Access
An Anomaly Self-Supervised Representation To Classify Malignant Lung Nodules
Juan J. Rodrı́guez, Alejandra Moreno, Fabio Martínez
(2024), pp. 1-4
Closed Access
Quantum-Involution inspire false positive reduction in pulmonary nodule detection
Zepeng Zhang, Yun Tie, Dalong Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104850-104850
Closed Access | Times Cited: 1
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