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:

Two-stage lung nodule detection framework using enhanced UNet and convolutional LSTM networks in CT images
S. Akila Agnes, J. Anitha, A.A. Solomon
Computers in Biology and Medicine (2022) Vol. 149, pp. 106059-106059
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods
Ramin Ranjbarzadeh, Shadi Dorosti, Saeid Jafarzadeh Ghoushchi, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106443-106443
Open Access | Times Cited: 59

Multiside graph neural network-based attention for local co-occurrence features fusion in lung nodule classification
Ahmed Saihood, Mustafa Asaad Hasan, Shafaa mahmood shnawa, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124149-124149
Open Access | Times Cited: 7

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

CCGL-YOLOV5:A cross-modal cross-scale global-local attention YOLOV5 lung tumor detection model
Tao Zhou, Fengzhen Liu, Xinyu Ye, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107387-107387
Closed Access | Times Cited: 18

Deep learning paradigms in lung cancer diagnosis: A methodological review, open challenges, and future directions
Aryan Nikul Patel, Kathiravan Srinivasan
Physica Medica (2025) Vol. 131, pp. 104914-104914
Closed Access

Deep Learning Innovations in the Detection of Lung Cancer: Advances, Trends, and Open Challenges
Helena Liz, Áurea Anguera de Sojo-Hernández, Sergio D’Antonio Maceiras, et al.
Cognitive Computation (2025) Vol. 17, Iss. 2
Open Access

Using the TSA-LSTM two-stage model to predict cancer incidence and mortality
Rabnawaz Khan, Jie Wang
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0317148-e0317148
Open Access

DETECT IPN: Real-World Experience with Automated Detection of Incidental Pulmonary Nodules in an All-Comer Population
Johannes Dunsche, Hans‐Ulrich Kauczor, Oyunbileg von Stackelberg, et al.
Open Journal of Radiology (2025) Vol. 15, Iss. 01, pp. 13-25
Open Access

Automated Diagnosis of Prostate Cancer Using mpMRI Images: A Deep Learning Approach for Clinical Decision Support
Anil B. Gavade, Rajendra B. Nerli, Neel Kanwal, et al.
Computers (2023) Vol. 12, Iss. 8, pp. 152-152
Open Access | Times Cited: 13

Augmenting Clinical Decisions with Deep Learning Lung Cancer Image Abnormality Segmentation
K Venkatraman, Sirigiri Naga Pavan Sathvik Reddy
(2024), pp. 674-678
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

Enhancing Lung Nodule Classification: A Novel CViEBi-CBGWO Approach with Integrated Image Preprocessing
J Manikandan, K Jayashree
Deleted Journal (2024) Vol. 37, Iss. 5, pp. 2108-2125
Closed Access | Times Cited: 3

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

TransRender: a transformer-based boundary rendering segmentation network for stroke lesions
Zelin Wu, Xueying Zhang, Fenglian Li, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 8

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

Enhancing non-small cell lung cancer tumor segmentation with a novel two-step deep learning approach
Fuli Zhang, Qiusheng Wang, Enyu Fan, et al.
Journal of Radiation Research and Applied Sciences (2023) Vol. 17, Iss. 1, pp. 100775-100775
Open Access | Times Cited: 6

The diagnosis performance of convolutional neural network in the detection of pulmonary nodules: a systematic review and meta-analysis
X. Zhang, Bo Liu, Kefu Liu, et al.
Acta Radiologica (2023) Vol. 64, Iss. 12, pp. 2987-2998
Closed Access | Times Cited: 5

SkinViT: A transformer based method for Melanoma and Nonmelanoma classification
Somaiya Khan, Ali Khan
PLoS ONE (2023) Vol. 18, Iss. 12, pp. e0295151-e0295151
Open Access | Times Cited: 5

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

Hierarchical approach for pulmonary-nodule identification from CT images using YOLO model and a 3D neural network classifier
Yashar Ahmadyar, Alireza Kamali‐Asl, Hossein Arabi, et al.
Radiological Physics and Technology (2023) Vol. 17, Iss. 1, pp. 124-134
Closed Access | Times Cited: 4

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

SkinSwinViT: A Lightweight Transformer-Based Method for Multiclass Skin Lesion Classification with Enhanced Generalization Capabilities
Kun Tang, Jing Su, Ruihan Chen, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4005-4005
Open Access | Times Cited: 1

Design of Badminton Technical Movement Recognition System Based on Improved Agnes Algorithm
Yulin Wang
Deleted Journal (2024) Vol. 20, Iss. 6s, pp. 1981-1991
Open Access | Times Cited: 1

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