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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:

A Cascaded Multi-Stage Framework for Automatic Detection and Segmentation of Pulmonary Nodules in Developing Countries
Zhixun Zhou, Fangfang Gou, Yanlin Tan, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 11, pp. 5619-5630
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Lung Cancer Classification Using Modified U-Net Based Lobe Segmentation and Nodule Detection
Iftikhar Naseer, Sheeraz Akram, Tehreem Masood, et al.
IEEE Access (2023) Vol. 11, pp. 60279-60291
Open Access | Times Cited: 28
An Intelligent Auxiliary Framework for Bone Malignant Tumor Lesion Segmentation in Medical Image Analysis
Xiangbing Zhan, Jun Liu, Huiyun Long, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 223-223
Open Access | Times Cited: 27
Artificial intelligence auxiliary diagnosis and treatment system for breast cancer in developing countries
Wenxiu Li, Fangfang Gou, Jia Wu
Journal of X-Ray Science and Technology (2024) Vol. 32, Iss. 2, pp. 395-413
Closed Access | Times Cited: 14
A Multimodal Auxiliary Classification System for Osteosarcoma Histopathological Images Based on Deep Active Learning
Fangfang Gou, Jun Liu, Jun Zhu, et al.
Healthcare (2022) Vol. 10, Iss. 11, pp. 2189-2189
Open Access | Times Cited: 28
DEHA-Net: A Dual-Encoder-Based Hard Attention Network with an Adaptive ROI Mechanism for Lung Nodule Segmentation
Muhammad Usman, Yeong-Gil Shin
Sensors (2023) Vol. 23, Iss. 4, pp. 1989-1989
Open Access | Times Cited: 21
Image segmentation technology based on transformer in medical decision‐making system
Keke He, Fangfang Gou, Jia Wu
IET Image Processing (2023) Vol. 17, Iss. 10, pp. 3040-3054
Open Access | Times Cited: 21
Artificial Intelligence-Aided Diagnosis Solution by Enhancing the Edge Features of Medical Images
Baolong Lv, Feng Liu, Yulin Li, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1063-1063
Open Access | Times Cited: 19
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
A pathology image segmentation framework based on deblurring and region proxy in medical decision-making system
Limiao Li, Keke He, Xiaoyu Zhu, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106439-106439
Open Access | Times Cited: 7
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
Cytopathology image analysis method based on high-resolution medical representation learning in medical decision-making system
Baotian Li, Feng Liu, Baolong Lv, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 3, pp. 4253-4274
Open Access | Times Cited: 6
A Tumor MRI Image Segmentation Framework Based on Class-Correlation Pattern Aggregation in Medical Decision-Making System
Hui Wei, Baolong Lv, Feng Liu, et al.
Mathematics (2023) Vol. 11, Iss. 5, pp. 1187-1187
Open Access | Times Cited: 14
Two‐stage coarse‐to‐fine method for pathological images in medical decision‐making systems
Keke He, Jun Zhu, Limiao Li, et al.
IET Image Processing (2023) Vol. 18, Iss. 1, pp. 175-193
Open Access | Times Cited: 13
A Novel Medical Decision-Making System Based on Multi-Scale Feature Enhancement for Small Samples
Keke He, Yue Qin, Fangfang Gou, et al.
Mathematics (2023) Vol. 11, Iss. 9, pp. 2116-2116
Open Access | Times Cited: 12
Improving retinal OCT image classification accuracy using medical pre-training and sample replication methods
Hao Dai, Yaliang Yang, Yue Xian, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 106019-106019
Closed Access | Times Cited: 4
SF2T:Leveraging Swin Transformer and Two-stream networks for lung nodule detection
Fangzhang Cui, Yueyang Li, Haichi Luo, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106389-106389
Closed Access | Times Cited: 4
A human-in-the-loop method for pulmonary nodule detection in CT scans
Qingjie Zeng, Yutong Xie, Zilin Lu, et al.
Visual Intelligence (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 4
An Innovative Solution Based on TSCA-ViT for Osteosarcoma Diagnosis in Resource-Limited Settings
Zengxiao He, Jun Liu, Fangfang Gou, et al.
Biomedicines (2023) Vol. 11, Iss. 10, pp. 2740-2740
Open Access | Times Cited: 10
A Novel Method for 3D Lung Tumor Reconstruction Using Generative Models
Hamidreza Najafi, Kimia Savoji, Marzieh Mirzaeibonehkhater, et al.
Diagnostics (2024) Vol. 14, Iss. 22, pp. 2604-2604
Open Access | Times Cited: 3
Review of deep learning approaches in solving rock fragmentation problems
Mikhail Ronkin, Elena N. Akimova, Vladimir E. Misilov
AIMS Mathematics (2023) Vol. 8, Iss. 10, pp. 23900-23940
Open Access | Times Cited: 8
Deep learning in pulmonary nodule detection and segmentation: a systematic review
Chuan Gao, Linyu Wu, Wei Wu, et al.
European Radiology (2024) Vol. 35, Iss. 1, pp. 255-266
Open Access | Times Cited: 2
Multi-kernel driven 3D convolutional neural network for automated detection of lung nodules in chest CT scans
Ruoyu Wu, Changyu Liang, Jiuquan Zhang, et al.
Biomedical Optics Express (2023) Vol. 15, Iss. 2, pp. 1195-1195
Open Access | Times Cited: 5
A dual-task region-boundary aware neural network for accurate pulmonary nodule segmentation
Junrong Qiu, Bin Li, Ri-Qiang Liao, et al.
Journal of Visual Communication and Image Representation (2023) Vol. 96, pp. 103909-103909
Closed Access | Times Cited: 5
Pulmonary nodule detection based on model fusion and adaptive false positive reduction
Yixin Xiong, Lei Deng, Yujuan Wang
Expert Systems with Applications (2023) Vol. 238, pp. 121890-121890
Closed Access | Times Cited: 5
Multiscale self-calibrated pulmonary nodule detection network fusing dual attention mechanism
Yong‐Guan Zhu, Lixin Xu, Yusi Liu, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 16, pp. 165007-165007
Closed Access | Times Cited: 4
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