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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:

Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation
Amine Amyar, Romain Modzelewski, Hua Li, et al.
Computers in Biology and Medicine (2020) Vol. 126, pp. 104037-104037
Open Access | Times Cited: 497

Showing 1-25 of 497 citing articles:

Image Segmentation Using Deep Learning: A Survey
Shervin Minaee, Yuri Boykov, Fatih Porikli, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021), pp. 1-1
Open Access | Times Cited: 2637
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Michael Roberts, Derek Driggs, Matthew Thorpe, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 3, pp. 199-217
Open Access | Times Cited: 887
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
Md. Milon Islam, Fakhri Karray, Reda Alhajj, et al.
IEEE Access (2021) Vol. 9, pp. 30551-30572
Open Access | Times Cited: 264
COVID-19 detection in CT images with deep learning: A voting-based scheme and cross-datasets analysis
Pedro Silva, Eduardo Luz, Guilherme Silva, et al.
Informatics in Medicine Unlocked (2020) Vol. 20, pp. 100427-100427
Open Access | Times Cited: 226
Transfer learning techniques for medical image analysis: A review
Padmavathi Kora, Chui Ping Ooi, Oliver Faust, et al.
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 79-107
Closed Access | Times Cited: 224
COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet
Adnan Saood, Iyad Hatem
BMC Medical Imaging (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 220
Real-world data: a brief review of the methods, applications, challenges and opportunities
Fang Liu, Demosthenes B. Panagiotakos
BMC Medical Research Methodology (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 206
Applications of artificial intelligence in battling against covid-19: A literature review
Mohammad-H. Tayarani N.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110338-110338
Open Access | Times Cited: 193
Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review
H. Swapnarekha, H. S. Behera, Janmenjoy Nayak, et al.
Chaos Solitons & Fractals (2020) Vol. 138, pp. 109947-109947
Open Access | Times Cited: 187
Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence
Ilker Ozsahin, Boran Şekeroğlu, Musa Sani Musa, et al.
Computational and Mathematical Methods in Medicine (2020) Vol. 2020, pp. 1-10
Open Access | Times Cited: 171
Deep learning in mammography images segmentation and classification: Automated CNN approach
Wessam M. Salama, Moustafa H. Aly
Alexandria Engineering Journal (2021) Vol. 60, Iss. 5, pp. 4701-4709
Open Access | Times Cited: 168
Identifying COVID19 from Chest CT Images: A Deep Convolutional Neural Networks Based Approach
Arnab Kumar Mishra, Sujit Kumar Das, Pinki Roy, et al.
Journal of Healthcare Engineering (2020) Vol. 2020, pp. 1-7
Open Access | Times Cited: 162
Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
Zaid Abdi Alkareem Alyasseri, Mohammed Azmi Al‐Betar, Iyad Abu Doush, et al.
Expert Systems (2021) Vol. 39, Iss. 3
Open Access | Times Cited: 139
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning
Kaiping Wang, Bo Zhan, Chen Zu, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102447-102447
Closed Access | Times Cited: 119
Artificial intelligence in the diagnosis of COVID-19: challenges and perspectives
Shigao Huang, Jie Yang, Simon Fong, et al.
International Journal of Biological Sciences (2021) Vol. 17, Iss. 6, pp. 1581-1587
Open Access | Times Cited: 110
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients
Isaac Shiri, Majid Sorouri, Parham Geramifar, et al.
Computers in Biology and Medicine (2021) Vol. 132, pp. 104304-104304
Open Access | Times Cited: 105
Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach
Md. Robiul Islam, Md. Nahiduzzaman
Expert Systems with Applications (2022) Vol. 195, pp. 116554-116554
Open Access | Times Cited: 102
Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential
Xingping Zhang, Yanchun Zhang, Guijuan Zhang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 99
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
Tawsifur Rahman, Alex Akinbi, Muhammad E. H. Chowdhury, et al.
Health Information Science and Systems (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 86
Multi-task deep learning for medical image computing and analysis: A review
Yan Zhao, Xiuying Wang, Tongtong Che, et al.
Computers in Biology and Medicine (2022) Vol. 153, pp. 106496-106496
Closed Access | Times Cited: 68
A systematic literature review of machine learning application in COVID-19 medical image classification
Daniel Daniel, Tjeng Wawan Cenggoro, Bens Pardamean
Procedia Computer Science (2023) Vol. 216, pp. 749-756
Open Access | Times Cited: 44
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2023) Vol. 36, Iss. 8, pp. 1779-1821
Open Access | Times Cited: 41
Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning
Navid Ghassemi, Afshin Shoeibi, Marjane Khodatars, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110511-110511
Open Access | Times Cited: 40
Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Neurocomputing (2024) Vol. 577, pp. 127317-127317
Open Access | Times Cited: 40
Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images
Law Kumar Singh, Munish Khanna, Himanshu Monga, et al.
New Generation Computing (2024) Vol. 42, Iss. 4, pp. 761-824
Closed Access | Times Cited: 12
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