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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 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

Showing 1-25 of 58 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
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
Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey
Weiping Ding, Mohamed Abdel‐Basset, Hossam Hawash, et al.
Information Sciences (2022) Vol. 615, pp. 238-292
Closed Access | Times Cited: 101
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: 74
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
CR19: a framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications
Ezz El‐Din Hemdan, Walid El‐Shafai, Amged Sayed
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 9, pp. 11715-11727
Open Access | Times Cited: 46
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
Explainable Vision Transformers and Radiomics for COVID-19 Detection in Chest X-rays
Mohamed Chetoui, Moulay A. Akhloufi
Journal of Clinical Medicine (2022) Vol. 11, Iss. 11, pp. 3013-3013
Open Access | Times Cited: 38
AI-based radiodiagnosis using chest X-rays: A review
Yasmeena Akhter, Richa Singh, Mayank Vatsa
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 21
Contribution to pulmonary diseases diagnostic from X-ray images using innovative deep learning models
Akram Bennour, Najib Ben Aoun, Osamah Ibrahim Khalaf, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e30308-e30308
Open Access | Times Cited: 8
AI-Based human audio processing for COVID-19: A comprehensive overview
Gauri Deshpande, Anton Batliner, Björn W. Schuller
Pattern Recognition (2021) Vol. 122, pp. 108289-108289
Open Access | Times Cited: 51
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning
Yanda Meng, Joshua Bridge, Cliff Addison, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102722-102722
Open Access | Times Cited: 27
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
Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia From Chest X-Ray Images
Shengchao Chen, Sufen Ren, Guanjun Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 2, pp. 753-764
Open Access | Times Cited: 15
A novel explainable neural network for Alzheimer’s disease diagnosis
Lu Yu, Wei Xiang, Juan Fang, et al.
Pattern Recognition (2022) Vol. 131, pp. 108876-108876
Closed Access | Times Cited: 25
Shallow decision trees for explainable k-means clustering
Eduardo Sany Laber, Lucas Murtinho, Felipe M F de Oliveira
Pattern Recognition (2022) Vol. 137, pp. 109239-109239
Open Access | Times Cited: 22
Multi-Class Pneumonia Classification Using Transfer Deep Learning Methods
Sheshang Degadwala, Dhairya Vyas, Darshanaben Dipakkumar Pandya, et al.
(2023), pp. 559-563
Closed Access | Times Cited: 14
A Multi-stage framework for COVID-19 detection and severity assessment from chest radiography images using advanced fuzzy ensemble technique
Pranab Sahoo, Sriparna Saha, Saksham Kumar Sharma, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121724-121724
Closed Access | Times Cited: 13
Explainable COVID-19 Detection Based on Chest X-rays Using an End-to-End RegNet Architecture
Mohamed Chetoui, Moulay A. Akhloufi, El Mostafa Bouattane, et al.
Viruses (2023) Vol. 15, Iss. 6, pp. 1327-1327
Open Access | Times Cited: 12
Toward native explainable and robust AI in 6G networks: Current state, challenges and road ahead
Claudio Fiandrino, Giulia Attanasio, Marco Fiore, et al.
Computer Communications (2022) Vol. 193, pp. 47-52
Open Access | Times Cited: 21
A teacher–student framework with Fourier Transform augmentation for COVID-19 infection segmentation in CT images
Han Chen, Yifan Jiang, Hanseok Ko, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104250-104250
Open Access | Times Cited: 20
Peer-to-Peer Federated Learning for COVID-19 Detection Using Transformers
Mohamed Chetoui, Moulay A. Akhloufi
Computers (2023) Vol. 12, Iss. 5, pp. 106-106
Open Access | Times Cited: 11
Analysis of lung scan imaging using deep multi‐task learning structure for Covid‐19 disease
Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, et al.
IET Image Processing (2023) Vol. 17, Iss. 5, pp. 1534-1545
Closed Access | Times Cited: 10
Biases associated with database structure for COVID-19 detection in X-ray images
Daniel Arias-Garzón, Reinel Tabares-Soto, Joshua Bernal-Salcedo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
A fuzzy fine-tuned model for COVID-19 diagnosis
Nima Esmi Rudbardeh, Yasaman Golshan, Sara Asadi, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106483-106483
Open Access | Times Cited: 8
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