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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:

Attention-embedded complementary-stream CNN for false positive reduction in pulmonary nodule detection
Lingma Sun, Zhuoran Wang, Hong Pu, et al.
Computers in Biology and Medicine (2021) Vol. 133, pp. 104357-104357
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Multi-scale context UNet-like network with redesigned skip connections for medical image segmentation
Ledan Qian, Caiyun Wen, Yi Li, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107885-107885
Closed Access | Times Cited: 29
WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network
Zhiqiang Shen, Peng Cao, Jinzhu Yang, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106587-106587
Closed Access | Times Cited: 23
Lung Nodules Localization and Report Analysis from Computerized Tomography (CT) Scan Using a Novel Machine Learning Approach
Inayatul Haq, Tehseen Mazhar, Muhammad Amir Malik, et al.
Applied Sciences (2022) Vol. 12, Iss. 24, pp. 12614-12614
Open Access | Times Cited: 34
TiCNet: Transformer in Convolutional Neural Network for Pulmonary Nodule Detection on CT Images
Ling Ma, Gen Li, Xingyu Feng, et al.
Deleted Journal (2024) Vol. 37, Iss. 1, pp. 196-208
Open Access | Times Cited: 6
3D Dense Inverted Residuals Latent Equilibrium Attention Network for Pulmonary Nodules Classification
文举 王
Modeling and Simulation (2025) Vol. 14, Iss. 01, pp. 734-747
Closed Access
AttentNet: Fully Convolutional 3D Attention for Lung Nodule Detection
Majedaldein Almahasneh, Xianghua Xie, Adeline Paiement
SN Computer Science (2025) Vol. 6, Iss. 3
Open Access
CPLOYO: A pulmonary nodule detection model with multi-scale feature fusion and nonlinear feature learning
Meng Wang, Zi Jian Yang, Ruifeng Zhao, et al.
Alexandria Engineering Journal (2025) Vol. 122, pp. 578-587
Closed Access
CNN-based severity prediction of neurodegenerative diseases using gait data
Çağatay Berke Erdaş, Emre Sümer, Seda Kibaroğlu
Digital Health (2022) Vol. 8, pp. 205520762210751-205520762210751
Open Access | Times Cited: 18
Machine learning techniques for pulmonary nodule computer-aided diagnosis using CT images: A systematic review
Haizhe Jin, Cheng-Sheng Yu, Zibo Gong, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104104-104104
Closed Access | Times Cited: 17
Local Structure Awareness-Based Retinal Microaneurysm Detection with Multi-Feature Combination
Jiakun Deng, Tang Pu-ying, Xuegong Zhao, et al.
Biomedicines (2022) Vol. 10, Iss. 1, pp. 124-124
Open Access | Times Cited: 15
A lightweight neural network for lung nodule detection based on improved ghost module
Liuyang Yang, Hongyu Cai, Xinyu Luo, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 7, pp. 4205-4221
Open Access | Times Cited: 8
Differential diagnosis of hepatocellular carcinoma and intrahepatic cholangiocarcinoma based on spatial and channel attention mechanisms
Ji-lan Huang, Ying Sun, Zhi-heng Wu, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 12, pp. 10161-10168
Closed Access | Times Cited: 8
Lung Cancer Detection Systems Applied to Medical Images: A State-of-the-Art Survey
Sher Lyn Tan, Ganeshsree Selvachandran, Raveendran Paramesran, et al.
Archives of Computational Methods in Engineering (2024)
Open Access | Times Cited: 2
A hybrid machine learning technique for early prediction of lung nodules from medical images using a learning‐based neural network classifier
A. Syed Musthafa, K. Pramod Sankar, T. Benil, et al.
Concurrency and Computation Practice and Experience (2022) Vol. 35, Iss. 3
Closed Access | Times Cited: 11
Pulmonary nodule detection based on Hierarchical-Split HRNet and feature pyramid network with atrous convolution
Ling Zhu, Hongqing Zhu, Suyi Yang, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 105024-105024
Closed Access | Times Cited: 5
Controlling False-Positives in Automatic Lung Nodule Detection by Adding 3D Cuboid Attention to a Convolutional Neural Network
Shu Wang, Yunsheng Liu, Chunmeng Shi
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104946-104946
Closed Access | Times Cited: 4
Multiple representation contrastive self-supervised learning for pulmonary nodule detection✰
Asghar Torki, Peyman Adibi, Hamidreza Baradaran Kashani
Knowledge-Based Systems (2024) Vol. 301, pp. 112307-112307
Closed Access | Times Cited: 1
A Lower False Positive Pulmonary Nodule Detection Approach for Early Lung Cancer Screening
Shaohua Zheng, Shaohua Kong, Zihan Huang, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2660-2660
Open Access | Times Cited: 7
Multi-head deep learning framework for pulmonary disease detection and severity scoring with modified progressive learning
Asad Khan, Muhammad Usman Akram, Sajid Nazir, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104855-104855
Open Access | Times Cited: 3
Research on lung nodule recognition algorithm based on deep feature fusion and MKL-SVM-IPSO
Yang Li, Hewei Zheng, Xiaoyu Huang, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 5
Cross attention guided multi-scale feature fusion for false-positive reduction in pulmonary nodule detection
Zhongxuan Gu, Yueyang Li, Haichi Luo, et al.
Computers in Biology and Medicine (2022) Vol. 151, pp. 106302-106302
Closed Access | Times Cited: 5
High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach
Xiaotong Fu, Xiangyu Meng, Jing Zhou, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023)
Open Access | Times Cited: 2
Artificial Intelligence Algorithm-Based Feature Extraction of Computed Tomography Images and Analysis of Benign and Malignant Pulmonary Nodules
Yuantong Gao, Yuyang Chen, Yuegui Jiang, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 3
An effective accurate lung nodule detection of CT images using extensible hunt optimization based deep CNN
Rama Vaibhav Kaulgud, Arun Angelo Patil
Web Intelligence (2024), pp. 1-20
Closed Access
Hybrid Neural Network Method Using Aquila Optimization Algorithm for Detection of Lung Cancer in CT Images
B. Ayshwarya, T. Logeswari, D V Divyashree, et al.
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access
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