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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 UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray
Debojyoti Pal, Pailla Balakrishna Reddy, Sudipta Roy
Computers in Biology and Medicine (2022) Vol. 150, pp. 106083-106083
Closed Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Techniques and Challenges of Image Segmentation: A Review
Ying Yu, Chunping Wang, Qiang Fu, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1199-1199
Open Access | Times Cited: 144
Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine
Sudipta Roy, Tanushree Meena, Se‐Jung Lim
Diagnostics (2022) Vol. 12, Iss. 10, pp. 2549-2549
Open Access | Times Cited: 106
Bone Fracture Detection Using Deep Supervised Learning from Radiological Images: A Paradigm Shift
Tanushree Meena, Sudipta Roy
Diagnostics (2022) Vol. 12, Iss. 10, pp. 2420-2420
Open Access | Times Cited: 87
Integrative Approaches in Acute Ischemic Stroke: From Symptom Recognition to Future Innovations
Vicențiu Săceleanu, Corneliu Toader, Horia Pleș, et al.
Biomedicines (2023) Vol. 11, Iss. 10, pp. 2617-2617
Open Access | Times Cited: 43
Analysis of Deep Learning Models for Lung Field Segmentation
Tairah Andrabi, Sajid Yousuf Bhat
(2025), pp. 149-183
Closed Access | Times Cited: 1
Detection of lung cancer in CT scans using grey wolf optimization algorithm and recurrent neural network
Vinit Kumar Gunjan, Ninni Singh, Fahimuddin Shaik, et al.
Health and Technology (2022) Vol. 12, Iss. 6, pp. 1197-1210
Closed Access | Times Cited: 41
Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm
Pankaj K. Jain, Abhishek Dubey, Luca Saba, et al.
Journal of Cardiovascular Development and Disease (2022) Vol. 9, Iss. 10, pp. 326-326
Open Access | Times Cited: 37
BMRI-NET: A Deep Stacked Ensemble Model for Multi-class Brain Tumor Classification from MRI Images
Sohaib Asif, Ming Zhao, Xuehan Chen, et al.
Interdisciplinary Sciences Computational Life Sciences (2023) Vol. 15, Iss. 3, pp. 499-514
Closed Access | Times Cited: 28
Deep learning models for tuberculosis detection and infected region visualization in chest X-ray images
Vinayak Sharma, Nillmani, Sachin Kumar Gupta, et al.
Intelligent Medicine (2023) Vol. 4, Iss. 2, pp. 104-113
Open Access | Times Cited: 25
Assessing Inter-Annotator Agreement for Medical Image Segmentation
Feng Yang, Ghada Zamzmi, Sandeep Angara, et al.
IEEE Access (2023) Vol. 11, pp. 21300-21312
Open Access | Times Cited: 23
COVID-19 and pneumonia diagnosis from chest X-ray images using convolutional neural networks
Muhab Hariri, Ercan Avşar
Network Modeling Analysis in Health Informatics and Bioinformatics (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 22
Taylor African vulture optimization algorithm with hybrid deep convolution neural network for image captioning system
Chengamma Chitteti, K. Reddy Madhavi
Multimedia Tools and Applications (2024) Vol. 83, Iss. 25, pp. 66393-66411
Closed Access | Times Cited: 9
A modified deep semantic binarization network for degradation removal in palm leaf manuscripts
Bipin Nair B J, N. Shobha Rani
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 62937-62969
Closed Access | Times Cited: 7
Vision Transformers for Lung Segmentation on CXR Images
Rafik Ghali, Moulay A. Akhloufi
SN Computer Science (2023) Vol. 4, Iss. 4
Open Access | Times Cited: 18
Explainable artificial intelligence to increase transparency for revolutionizing healthcare ecosystem and the road ahead
Sudipta Roy, Debojyoti Pal, Tanushree Meena
Network Modeling Analysis in Health Informatics and Bioinformatics (2023) Vol. 13, Iss. 1
Closed Access | Times Cited: 18
A multi-objective segmentation method for chest X-rays based on collaborative learning from multiple partially annotated datasets
Hongyu Wang, Dandan Zhang, Jun Feng, et al.
Information Fusion (2023) Vol. 102, pp. 102016-102016
Closed Access | Times Cited: 17
Federated learning with deep convolutional neural networks for the detection of multiple chest diseases using chest x-rays
Hassaan Malik, Tayyaba Anees
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 63017-63045
Closed Access | Times Cited: 7
Fundamentals of Deep Learning Models for Medical Image Segmentation
Aasia Rehman, Sajid Yousuf Bhat
(2025), pp. 27-63
Closed Access
Global attention and context encoding for enhanced medical image segmentation
WU Shi-li, Guo Yongkun, Chao Qian, et al.
The Visual Computer (2025)
Closed Access
Hybrid-Segmentor: Hybrid approach for automated fine-grained crack segmentation in civil infrastructure
June Moh Goo, Xenios Milidonis, Alessandro Artusi, et al.
Automation in Construction (2025) Vol. 170, pp. 105960-105960
Open Access
Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach
Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
The effectiveness of FAT‐Net in chest X‐ray segmentation
Maedeh Sadat Khorasani, Farshid Babapour Mofrad
The Journal of Engineering (2025) Vol. 2025, Iss. 1
Open Access
CXR-Seg: A Novel Deep Learning Network for Lung Segmentation from Chest X-Ray Images
Sadia Din, Muhammad Shoaib, Erchin Serpedin
Bioengineering (2025) Vol. 12, Iss. 2, pp. 167-167
Open Access
A semisupervised knowledge distillation model for lung nodule segmentation
Wenjuan Liu, Limin Zhang, Xiangrui Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Artificial Intelligence for Detecting and Quantifying Fatty Liver in Ultrasound Images: A Systematic Review
Fahad Muflih Alshagathrh, Mowafa Househ
Bioengineering (2022) Vol. 9, Iss. 12, pp. 748-748
Open Access | Times Cited: 21
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