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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:

A deep learning approach to detect Covid-19 coronavirus with X-Ray images
Govardhan Jain, Deepti Mittal, Daksh Thakur, et al.
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 4, pp. 1391-1405
Open Access | Times Cited: 293

Showing 1-25 of 293 citing articles:

A review on deep learning in medical image analysis
S. Suganyadevi, V. Seethalakshmi, K. Balasamy
International Journal of Multimedia Information Retrieval (2021) Vol. 11, Iss. 1, pp. 19-38
Open Access | Times Cited: 367
A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study
Jingwei Too, Seyedali Mirjalili
Knowledge-Based Systems (2020) Vol. 212, pp. 106553-106553
Closed Access | Times Cited: 152
Artificial Intelligence for COVID-19: A Systematic Review
Lian Wang, Yonggang Zhang, Dongguang Wang, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 131
COVID-19 image classification using deep learning: Advances, challenges and opportunities
Priya Aggarwal, Narendra Kumar Mishra, Binish Fatimah, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105350-105350
Open Access | Times Cited: 113
Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey
Mehdi Gheisari, Fereshteh Ebrahimzadeh, Mohamadtaghi Rahimi, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 3, pp. 581-606
Open Access | Times Cited: 101
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
COVID-19 detection in X-ray images using convolutional neural networks
Daniel Arias-Garzón, Jesús Alejandro Alzate-Grisales, Simón Orozco-Arias, et al.
Machine Learning with Applications (2021) Vol. 6, pp. 100138-100138
Open Access | Times Cited: 85
An Improved VGG16 Model for Pneumonia Image Classification
Zhipeng Jiang, Yiyang Liu, Zhen-En Shao, et al.
Applied Sciences (2021) Vol. 11, Iss. 23, pp. 11185-11185
Open Access | Times Cited: 85
COVID-19 X-ray images classification based on enhanced fractional-order cuckoo search optimizer using heavy-tailed distributions
Dalia Yousri, Mohamed Abd Elaziz, Laith Abualigah, et al.
Applied Soft Computing (2020) Vol. 101, pp. 107052-107052
Open Access | Times Cited: 82
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
A new COVID-19 detection method from human genome sequences using CpG island features and KNN classifier
Hilal Arslan, Hasan Arslan
Engineering Science and Technology an International Journal (2021) Vol. 24, Iss. 4, pp. 839-847
Open Access | Times Cited: 71
Covid-19 Imaging Tools: How Big Data is Big?
K. C. Santosh, Sourodip Ghosh
Journal of Medical Systems (2021) Vol. 45, Iss. 7
Open Access | Times Cited: 61
Automated COVID-19 detection from X-ray and CT images with stacked ensemble convolutional neural network
Mahesh Gour, Sweta Jain
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 27-41
Open Access | Times Cited: 58
Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic
Nora El-Rashidy, Samir Abdelrazik, Tamer Abuhmed, et al.
Diagnostics (2021) Vol. 11, Iss. 7, pp. 1155-1155
Open Access | Times Cited: 56
FractalCovNet architecture for COVID-19 Chest X-ray image Classification and CT-scan image Segmentation
M. Hemalatha, Karthikeyan Jadarajan Muthukumar, Shriram Gnanaprakasam, et al.
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 3, pp. 1025-1038
Open Access | Times Cited: 56
Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks
Sahebgoud Hanamantray Karaddi, Lakhan Dev Sharma
Expert Systems with Applications (2022) Vol. 211, pp. 118650-118650
Closed Access | Times Cited: 53
Diagnosing COVID-19 using artificial intelligence: a comprehensive review
Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 39
A novel deep neural network model based Xception and genetic algorithm for detection of COVID-19 from X-ray images
Burak Gülmez
Annals of Operations Research (2022) Vol. 328, Iss. 1, pp. 617-641
Open Access | Times Cited: 39
A comprehensive review of analyzing the chest X-ray images to detect COVID-19 infections using deep learning techniques
Kavitha Subramaniam, Natesan Palanisamy, A. S. Renugadevi, et al.
Soft Computing (2023) Vol. 27, Iss. 19, pp. 14219-14240
Open Access | Times Cited: 21
A comparative study of multiple neural network for detection of COVID-19 on chest X-ray
Shazia Anis, Tan Zi Xuan, Joon Huang Chuah, et al.
EURASIP Journal on Advances in Signal Processing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 54
A preliminary analysis of AI based smartphone application for diagnosis of COVID-19 using chest X-ray images
Aravind Krishnaswamy Rangarajan, R. Hari Krishnan
Expert Systems with Applications (2021) Vol. 183, pp. 115401-115401
Open Access | Times Cited: 52
Role of Artificial Intelligence in COVID-19 Detection
Anjan Gudigar, U. Raghavendra, Sneha Nayak, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 8045-8045
Open Access | Times Cited: 49
Intelligent system for COVID-19 prognosis: a state-of-the-art survey
Janmenjoy Nayak, Bighnaraj Naik, Savithramma P. Dinesh‐Kumar, et al.
Applied Intelligence (2021) Vol. 51, Iss. 5, pp. 2908-2938
Open Access | Times Cited: 47
These do not Look Like Those: An Interpretable Deep Learning Model for Image Recognition
Gurmail Singh, Kin Choong Yow
IEEE Access (2021) Vol. 9, pp. 41482-41493
Open Access | Times Cited: 45
An Interpretable Deep Learning Model for Covid-19 Detection With Chest X-Ray Images
Gurmail Singh, Kin Choong Yow
IEEE Access (2021) Vol. 9, pp. 85198-85208
Open Access | Times Cited: 45
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