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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:

An effective approach for CT lung segmentation using mask region-based convolutional neural networks
Qinhua Hu, Luís Fabrício de Freitas Souza, Gabriel B. Holanda, et al.
Artificial Intelligence in Medicine (2020) Vol. 103, pp. 101792-101792
Closed Access | Times Cited: 97

Showing 26-50 of 97 citing articles:

RETRACTED ARTICLE: Efficient and economical smart healthcare application based on quantum optical neural network
Tianyi Zhou, T. Anuradha, S. J. Mahendra, et al.
Optical and Quantum Electronics (2024) Vol. 56, Iss. 3
Closed Access | Times Cited: 3
Leveraging anatomical constraints with uncertainty for pneumothorax segmentation
Han Yuan, Chuan Hong, Nguyen Tuan Anh Tran, et al.
Health care science (2024) Vol. 3, Iss. 6, pp. 456-474
Open Access | Times Cited: 3
Deep learning in structural and functional lung image analysis
Joshua Astley, Jim M. Wild, Bilal Tahir
British Journal of Radiology (2021) Vol. 95, Iss. 1132
Open Access | Times Cited: 20
A soft computing automatic based in deep learning with use of fine-tuning for pulmonary segmentation in computed tomography images
Yongzhao Xu, Luís Fabrício F. Souza, Iágson Carlos Lima Silva, et al.
Applied Soft Computing (2021) Vol. 112, pp. 107810-107810
Closed Access | Times Cited: 20
AI-driven quantification of ground glass opacities in lungs of COVID-19 patients using 3D computed tomography imaging
Monjoy Saha, Sagar B. Amin, Ashish Sharma, et al.
PLoS ONE (2022) Vol. 17, Iss. 3, pp. e0263916-e0263916
Open Access | Times Cited: 15
“Last mile” optimization of edge computing ecosystem with deep learning models and specialized tensor processing architectures
Yuri Gordienko, Yuriy Kochura, Vlad Taran, et al.
Advances in computers (2020), pp. 303-341
Closed Access | Times Cited: 23
A Modified Convolutional Neural Networks Model for Medical Image Segmentation
Dathar Abas Hasan, Adnan Mohsin Abdulazeez
TEST Engineering & Management (2020) Vol. 83, pp. 16798-16808
Closed Access | Times Cited: 23
Internet of Medical Things: An Effective and Fully Automatic IoT Approach Using Deep Learning and Fine-Tuning to Lung CT Segmentation
Luís Fabrício de Freitas Souza, Iágson Carlos Lima Silva, Adriell Gomes Marques, et al.
Sensors (2020) Vol. 20, Iss. 23, pp. 6711-6711
Open Access | Times Cited: 21
Classification of malignant lung cancer using deep learning
Vinod Kumar, Brijesh Bakariya
Journal of Medical Engineering & Technology (2021) Vol. 45, Iss. 2, pp. 85-93
Closed Access | Times Cited: 18
Systematic Review of Tumor Segmentation Strategies for Bone Metastases
Iromi R. Paranavithana, David Stirling, Montserrat Ros, et al.
Cancers (2023) Vol. 15, Iss. 6, pp. 1750-1750
Open Access | Times Cited: 7
Slice-Fusion: Reducing False Positives in Liver Tumor Detection for Mask R-CNN
Deng-Yao Tu, Peng‐Chan Lin, Hsin‐Hung Chou, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 5, pp. 3267-3277
Closed Access | Times Cited: 7
DeepPulmoTB: A benchmark dataset for multi-task learning of tuberculosis lesions in lung computerized tomography (CT)
Zhuoyi Tan, Hizmawati Madzin, Norafida Bahari, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e25490-e25490
Open Access | Times Cited: 2
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 comparative study of the spectrogram, scalogram, melspectrogram and gammatonegram time-frequency representations for the classification of lung sounds using the ICBHI database based on CNNs
Zakaria Neili, Kenneth Sundaraj
Biomedical Engineering / Biomedizinische Technik (2022) Vol. 67, Iss. 5, pp. 367-390
Closed Access | Times Cited: 11
Combining VGG16, Mask R-CNN and Inception V3 to identify the benign and malignant of breast microcalcification clusters
Ya-Chu Hsieh, Chiun-Li Chin, Chia-Shin Wei, et al.
(2020), pp. 1-4
Closed Access | Times Cited: 16
Detection of blood stains using computer vision-based algorithms and their association with postoperative outcomes in thoracoscopic lobectomies
Hao Xu, Tingxuan Han, Haifeng Wang, et al.
European Journal of Cardio-Thoracic Surgery (2022) Vol. 62, Iss. 5
Open Access | Times Cited: 10
An Improved Cervical Cell Segmentation Method Based on Deep Convolutional Network
Xueli Hao, Lili Pei, Wei Li, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 9
Optimized Deformable Model-based Segmentation and Deep Learning for Lung Cancer Classification
Mamtha V Shetty, D. Jayadevappa, Satish Tunga
The Journal of Medical Investigation (2022) Vol. 69, Iss. 3.4, pp. 244-255
Open Access | Times Cited: 8
Improving Three-Dimensional Building Segmentation on Three-Dimensional City Models through Simulated Data and Contextual Analysis for Building Extraction
Frédéric Leroux, Mickaël Germain, Étienne Clabaut, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 1, pp. 20-20
Open Access | Times Cited: 1
Multilevel Attention Unet Segmentation Algorithm for Lung Cancer Based on CT Images
Huan Wang, Shi Qiu, Benyue Zhang, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 2, pp. 1569-1589
Open Access | Times Cited: 1
Quantitative analysis of fast non-local means algorithm smoothing factor impact on lung segmentation accuracy in computed tomography images
Se‐Won Lim, Minji Park, Ha Jin Kim, et al.
Radiation Physics and Chemistry (2024) Vol. 218, pp. 111645-111645
Closed Access | Times Cited: 1
An Overview of Demand Analysis and Forecasting Algorithms for the Flow of Checked Baggage among Departing Passengers
Bo Jiang, Guofu Ding, Jianlin Fu, et al.
Algorithms (2024) Vol. 17, Iss. 5, pp. 173-173
Open Access | Times Cited: 1
Advances in medical image analysis: A comprehensive survey of lung infection detection
Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, et al.
IET Image Processing (2024) Vol. 18, Iss. 13, pp. 3750-3800
Open Access | Times Cited: 1
Lung image quality assessment and diagnosis using generative autoencoders in unsupervised ensemble learning
R Elakkiya, Harshiv Chandra, Nick Pears, et al.
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107268-107268
Closed Access | Times Cited: 1
Hybrid transformer-CNN and LSTM model for lung disease segmentation and classification
Syed Mohammed Shafi, C. Sathiya Kumar
PeerJ Computer Science (2024) Vol. 10, pp. e2444-e2444
Open Access | Times Cited: 1

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