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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:

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

Showing 1-25 of 92 citing articles:

Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Hui Wen Loh, Chui Ping Ooi, Silvia Seoni, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107161-107161
Open Access | Times Cited: 408
A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
Goram Mufarah M. Alshmrani, Qiang Ni, Richard Jiang, et al.
Alexandria Engineering Journal (2022) Vol. 64, pp. 923-935
Open Access | Times Cited: 131
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
A survey on the interpretability of deep learning in medical diagnosis
Qiaoying Teng, Zhe Liu, Yuqing Song, et al.
Multimedia Systems (2022) Vol. 28, Iss. 6, pp. 2335-2355
Open Access | Times Cited: 78
Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays
Ashis Kumar Paul, Arpan Basu, Mufti Mahmud, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 22, pp. 16113-16127
Open Access | Times Cited: 72
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Ahmad Chaddad, Qizong Lu, Jiali Li, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 4, pp. 859-876
Open Access | Times Cited: 43
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
A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
Sunil Kumar, Harish Kumar, Gyanendra Kumar, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 19
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen
(2020)
Open Access | Times Cited: 95
The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions
Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105141-105141
Open Access | Times Cited: 75
A novel approach based on combining deep learning models with statistical methods for COVID-19 time series forecasting
Hossein Abbasimehr, Reza Paki, Aram Bahrini
Neural Computing and Applications (2021) Vol. 34, Iss. 4, pp. 3135-3149
Open Access | Times Cited: 57
Pre-processing methods in chest X-ray image classification
Agata Giełczyk, Anna Marciniak, Martyna Tarczewska, et al.
PLoS ONE (2022) Vol. 17, Iss. 4, pp. e0265949-e0265949
Open Access | Times Cited: 48
Covid-MANet: Multi-task attention network for explainable diagnosis and severity assessment of COVID-19 from CXR images
Ajay Sharma, Pramod Kumar Mishra
Pattern Recognition (2022) Vol. 131, pp. 108826-108826
Open Access | Times Cited: 43
RADIC:A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics
Omneya Attallah
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 233, pp. 104750-104750
Open Access | Times Cited: 36
Evaluation of Scalability and Degree of Fine-Tuning of Deep Convolutional Neural Networks for COVID-19 Screening on Chest X-ray Images Using Explainable Deep-Learning Algorithm
Ki-Sun Lee, Jae Young Kim, Eun‐Tae Jeon, et al.
Journal of Personalized Medicine (2020) Vol. 10, Iss. 4, pp. 213-213
Open Access | Times Cited: 57
Data augmentation approaches using cycle-consistent adversarial networks for improving COVID-19 screening in portable chest X-ray images
Daniel Iglesias, Joaquim de Moura, Jorge Novo, et al.
Expert Systems with Applications (2021) Vol. 185, pp. 115681-115681
Open Access | Times Cited: 44
COVID-19 Classification from Chest X-Ray Images: A Framework of Deep Explainable Artificial Intelligence
Muhammad Attique Khan, M. Athiba Azhar, Kainat Ibrar, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 31
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images
Hatice Çatal Reis, Veysel Turk
Artificial Intelligence in Medicine (2022) Vol. 134, pp. 102427-102427
Open Access | Times Cited: 30
Exploring Local Explanation of Practical Industrial AI Applications: A Systematic Literature Review
Thi-Thu-Huong Le, Aji Teguh Prihatno, Yustus Eko Oktian, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5809-5809
Open Access | Times Cited: 19
Deep learning for understanding multilabel imbalanced Chest X-ray datasets
Helena Liz, Javier Huertas‐Tato, Manuel Sánchez-Montañés, et al.
Future Generation Computer Systems (2023) Vol. 144, pp. 291-306
Open Access | Times Cited: 15
Analyzing COVID-19 progression with Markov multistage models: insights from a Korean cohort
Frank Aimee Rodrigue Ndagijimana, Taesung Park
Genomics & Informatics (2025) Vol. 23, Iss. 1
Open Access
Explainable deep learning approach for recognizing “Egyptian Cobra” bite in real-time
Mohamed Elhoseny, Ahmed Hassan, Marwa H. Shehata, et al.
Journal of Intelligent Systems (2025) Vol. 34, Iss. 1
Open Access
Synthesizing Realistic Images for Improved Early Detection of Novel Pandemics: A GAN Enabled Approach
Sumera Rounaq, Shahid Munir Shah, Mahmoud Aljawarneh, et al.
Heliyon (2025), pp. e42711-e42711
Open Access
XAI Technique in Deep Learning–Based Medical Image Analysis
Deepak Kumar, S Porwal, Rishabha Malviya, et al.
(2025), pp. 191-215
Closed Access
Explainable Artificial Intelligence Technique in Deep Learning–Based Medical Image Analysis
Babita Gupta, Rishabha Malviya, Sonali Sundram, et al.
(2025), pp. 165-190
Closed Access
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