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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:

Interpretable artificial intelligence framework for COVID‑19 screening on chest X‑rays
Nikos Tsiknakis, Eleftherios Trivizakis, Evangelia E. Vassalou, et al.
Experimental and Therapeutic Medicine (2020) Vol. 20, Iss. 2, pp. 727-735
Open Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

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: 892
AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app
Ali Imran, Iryna Posokhova, Haneya Naeem Qureshi, et al.
Informatics in Medicine Unlocked (2020) Vol. 20, pp. 100378-100378
Open Access | Times Cited: 591
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: 266
Deep Learning for Medical Anomaly Detection – A Survey
Tharindu Fernando, Harshala Gammulle, Simon Denman, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 7, pp. 1-37
Open Access | Times Cited: 203
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: 194
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
EMCNet: Automated COVID-19 diagnosis from X-ray images using convolutional neural network and ensemble of machine learning classifiers
Prottoy Saha, Muhammad Sheikh Sadi, Md. Milon Islam
Informatics in Medicine Unlocked (2020) Vol. 22, pp. 100505-100505
Open Access | Times Cited: 154
COVID-19 detection using federated machine learning
Mustafa Abdul Salam, Sanaa Taha, Mohamed Ramadan
PLoS ONE (2021) Vol. 16, Iss. 6, pp. e0252573-e0252573
Open Access | Times Cited: 103
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review
Felipe Giuste, Wenqi Shi, Yuanda Zhu, et al.
IEEE Reviews in Biomedical Engineering (2022) Vol. 16, pp. 5-21
Open Access | Times Cited: 82
Artificial Intelligence and Economic Development: An Evolutionary Investigation and Systematic Review
Yong Qin, Zeshui Xu, Xinxin Wang, et al.
Journal of the Knowledge Economy (2023) Vol. 15, Iss. 1, pp. 1736-1770
Open Access | Times Cited: 49
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: 43
Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review
Buket Baddal, Ferdiye Taner, Dilber Uzun Ozsahin
Diagnostics (2024) Vol. 14, Iss. 5, pp. 484-484
Open Access | Times Cited: 15
A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic
Jawad Rasheed, Akhtar Jamıl, Alaa Ali Hameed, et al.
Chaos Solitons & Fractals (2020) Vol. 141, pp. 110337-110337
Open Access | Times Cited: 107
COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays
Rajeev Kumar Singh, Rohan Pandey, Rishie Nandhan Babu
Neural Computing and Applications (2021) Vol. 33, Iss. 14, pp. 8871-8892
Open Access | Times Cited: 92
xViTCOS: Explainable Vision Transformer Based COVID-19 Screening Using Radiography
Arnab Kumar Mondal, Arnab Bhattacharjee, Parag Singla, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2021) Vol. 10, pp. 1-10
Open Access | Times Cited: 92
Application of Machine Learning in Diagnosis of COVID-19 Through X-Ray and CT Images: A Scoping Review
Hossein Mohammad‐Rahimi, Mohadeseh Nadimi, Azadeh Ghalyanchi‐Langeroudi, et al.
Frontiers in Cardiovascular Medicine (2021) Vol. 8
Open Access | Times Cited: 90
Current limitations to identify COVID-19 using artificial intelligence with chest X-ray imaging
José Daniel López-Cabrera, Rubén Orozco‐Morales, Jorge Armando Portal-Díaz, et al.
Health and Technology (2021) Vol. 11, Iss. 2, pp. 411-424
Open Access | Times Cited: 79
Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic
Mustafa Alhasan, Mohamed Hasaneen
Computerized Medical Imaging and Graphics (2021) Vol. 91, pp. 101933-101933
Open Access | Times Cited: 66
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence
Jasjit S. Suri, Sushant Agarwal, Suneet Gupta, et al.
Computers in Biology and Medicine (2021) Vol. 130, pp. 104210-104210
Open Access | Times Cited: 64
Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective
Jasjit S. Suri, Sushant Agarwal, Suneet Gupta, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 11, pp. 4128-4139
Open Access | Times Cited: 63
CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays
Hassaan Malik, Tayyaba Anees, Mui-zzud- din, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 9, pp. 13855-13880
Open Access | Times Cited: 62
Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images
Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar, et al.
Pattern Recognition (2021) Vol. 122, pp. 108243-108243
Open Access | Times Cited: 58
COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review
Jawad Rasheed, Akhtar Jamıl, Alaa Ali Hameed, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 13, Iss. 2, pp. 153-175
Open Access | Times Cited: 55
Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey
Yassine Meraihi, Asma Benmessaoud Gabis, Seyedali Mirjalili, et al.
SN Computer Science (2022) Vol. 3, Iss. 4
Open Access | Times Cited: 50
Explainable Deep Learning Methods in Medical Image Classification: A Survey
Cristiano Patrício, João C. Neves, Luís F. Teixeira
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-41
Open Access | Times Cited: 34
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