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:

An automated Residual Exemplar Local Binary Pattern and iterative ReliefF based COVID-19 detection method using chest X-ray image
Türker Tuncer, Şengül Doğan, Fatih Özyurt
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 203, pp. 104054-104054
Open Access | Times Cited: 168

Showing 1-25 of 168 citing articles:

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Laure Wynants, Ben Van Calster, Gary S. Collins, et al.
BMJ (2020), pp. m1328-m1328
Open Access | Times Cited: 2814

A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization
Majid Nour, Zafer Cömert, Kemal Polat
Applied Soft Computing (2020) Vol. 97, pp. 106580-106580
Open Access | Times Cited: 305

A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images
Jawad Rasheed, Alaa Ali Hameed, Chawki Djeddi, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 13, Iss. 1, pp. 103-117
Open Access | Times Cited: 172

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: 151

Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review
Hafsa Bareen Syeda, Mahanazuddin Syed, Kevin W. Sexton, et al.
JMIR Medical Informatics (2020) Vol. 9, Iss. 1, pp. e23811-e23811
Open Access | Times Cited: 137

DeepCoroNet: A deep LSTM approach for automated detection of COVID-19 cases from chest X-ray images
Fatih Demir
Applied Soft Computing (2021) Vol. 103, pp. 107160-107160
Open Access | Times Cited: 111

ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition
Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, N. Sarshar, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 10099-10136
Closed Access | Times Cited: 45

Corona Virus Disease 2019, a growing threat to children?
Pu Yang, Liu Pin, Dan Li, et al.
Journal of Infection (2020) Vol. 80, Iss. 6, pp. 671-693
Open Access | Times Cited: 123

Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images
Neha Gianchandani, Aayush Jaiswal, Dilbag Singh, et al.
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 14, Iss. 5, pp. 5541-5553
Open Access | Times Cited: 112

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

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

A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosis
Yudong Zhang, Suresh Chandra Satapathy, Shuaiqi Liu, et al.
Machine Vision and Applications (2020) Vol. 32, Iss. 1
Open Access | Times Cited: 89

Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine
Jiao Hu, Zhengyuan Han, Ali Asghar Heidari, et al.
Computers in Biology and Medicine (2021) Vol. 142, pp. 105166-105166
Open Access | Times Cited: 85

Lung Infection Segmentation for COVID-19 Pneumonia Based on a Cascade Convolutional Network from CT Images
Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Malika Bendechache, et al.
BioMed Research International (2021) Vol. 2021, pp. 1-16
Open Access | Times Cited: 84

Metaheuristic-based Deep COVID-19 Screening Model from Chest X-Ray Images
Manjit Kaur, Vijay Kumar, Vaishali Yadav, et al.
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 83

An Analysis Review of Detection Coronavirus Disease 2019 (COVID-19) Based on Biosensor Application
Bakr Ahmed Taha, Yousif Al Mashhadany, Mohd Hadri Hafiz Mokhtar, et al.
Sensors (2020) Vol. 20, Iss. 23, pp. 6764-6764
Open Access | Times Cited: 77

A novel Covid-19 and pneumonia classification method based on F-transform
Türker Tuncer, Fatih Özyurt, Şengül Doğan, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 210, pp. 104256-104256
Open Access | Times Cited: 73

Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images
Mehmet Bayğın, Orhan Yaman, Prabal Datta Barua, et al.
Artificial Intelligence in Medicine (2022) Vol. 127, pp. 102274-102274
Closed Access | Times Cited: 66

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

An automated COVID-19 detection based on fused dynamic exemplar pyramid feature extraction and hybrid feature selection using deep learning
Fatih Özyurt, Türker Tuncer, Abdülhamit Subaşı
Computers in Biology and Medicine (2021) Vol. 132, pp. 104356-104356
Open Access | Times Cited: 57

Screening of COVID-19 Suspected Subjects Using Multi-Crossover Genetic Algorithm Based Dense Convolutional Neural Network
Dilbag Singh, Vijay Kumar, Manjit Kaur, et al.
IEEE Access (2021) Vol. 9, pp. 142566-142580
Open Access | Times Cited: 56

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

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: 51

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

Using artificial intelligence technology to fight COVID-19: a review
Yong Peng, Enbin Liu, Shanbi Peng, et al.
Artificial Intelligence Review (2022) Vol. 55, Iss. 6, pp. 4941-4977
Open Access | Times Cited: 39

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