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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:

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: 48

Showing 1-25 of 48 citing articles:

Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT
Muhammad Umair, Muhammad Aamir Cheema, Omer Cheema, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3838-3838
Open Access | Times Cited: 181
The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic
Francesco Piccialli, Vincenzo Schiano Di Cola, Fabio Giampaolo, et al.
Information Systems Frontiers (2021) Vol. 23, Iss. 6, pp. 1467-1497
Open Access | Times Cited: 110
A survey of machine learning-based methods for COVID-19 medical image analysis
Kashfia Sailunaz, Tansel Özyer, Jon Rokne, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 6, pp. 1257-1297
Open Access | Times Cited: 21
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients
Lorenzo Famiglini, Andrea Campagner, Anna Carobene, et al.
Medical & Biological Engineering & Computing (2022)
Open Access | Times Cited: 22
Using alignment-free and pattern mining methods for SARS-CoV-2 genome analysis
M. Saqib Nawaz, Philippe Fournier‐Viger, Memoona Aslam, et al.
Applied Intelligence (2023) Vol. 53, Iss. 19, pp. 21920-21943
Closed Access | Times Cited: 13
A survey on the role of artificial intelligence in managing Long COVID
Ijaz Ahmad, Alessia Amelio, Arcangelo Merla, et al.
Frontiers in Artificial Intelligence (2024) Vol. 6
Open Access | Times Cited: 5
COVID-19 health data prediction: a critical evaluation of CNN-based approaches
Tae‐Hoon Kim, Ravikumar Chinthaginjala, Asadi Srinivasulu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Applications of dynamic feature selection and clustering methods to medical diagnosis
Mohammad Mahdi Ershadi, Abbas Seifi
Applied Soft Computing (2022) Vol. 126, pp. 109293-109293
Closed Access | Times Cited: 20
An Evolutionary-Based Sentiment Analysis Approach for Enhancing Government Decisions during COVID-19 Pandemic: The Case of Jordan
Ruba Obiedat, Osama Harfoushi, Raneem Qaddoura, et al.
Applied Sciences (2021) Vol. 11, Iss. 19, pp. 9080-9080
Open Access | Times Cited: 24
Emerging technologies for COVID (ET-CoV) detection and diagnosis: Recent advancements, applications, challenges, and future perspectives
Amir Rehman, Huanlai Xing, Muhammad Adnan Khan, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104642-104642
Open Access | Times Cited: 10
Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: A case study in the capitals of Brazil
Tiago Tiburcio da Silva, Rodrigo Francisquini, Mariá C. V. Nascimento
Expert Systems with Applications (2021) Vol. 182, pp. 115190-115190
Open Access | Times Cited: 22
Prediction of ICU admission for COVID-19 patients: a Machine Learning approach based on Complete Blood Count data
Lorenzo Famiglini, Giorgio Bini, Anna Carobene, et al.
(2021), pp. 160-165
Open Access | Times Cited: 18
COVID-19 Lesion Segmentation Using Lung CT Scan Images: Comparative Study Based on Active Contour Models
Younes Akbari, Hanadi Hassen, Somaya Al‐Maadeed, et al.
Applied Sciences (2021) Vol. 11, Iss. 17, pp. 8039-8039
Open Access | Times Cited: 16
Fusing traditionally extracted features with deep learned features from the speech spectrogram for anger and stress detection using convolution neural network
Shalini Kapoor, Tarun Kumar
Multimedia Tools and Applications (2022) Vol. 81, Iss. 21, pp. 31107-31128
Open Access | Times Cited: 11
Using fused Contourlet transform and neural features to spot COVID19 infections in CT scan images
Nur A-Alam, Md. Saikat Islam Khan, Mostofa Kamal Nasir
Intelligent Systems with Applications (2023) Vol. 17, pp. 200182-200182
Open Access | Times Cited: 6
Artificial Intelligence and Information Processing: A Systematic Literature Review
Keng-Yu Lin, Kuei‐Hu Chang
Mathematics (2023) Vol. 11, Iss. 11, pp. 2420-2420
Open Access | Times Cited: 6
Artificial intelligence enabled COVID-19 detection: techniques, challenges and use cases
Manisha Panjeta, A. Hemalatha Reddy, Rushabh Shah, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 2, pp. 4639-4666
Open Access | Times Cited: 6
A Different Traditional Approach for Automatic Comparative Machine Learning in Multimodality Covid-19 Severity Recognition
Mohammadreza Saraei, Saba Rahmani, Saman Rajebi, et al.
International Journal of Innovation in Engineering (2023) Vol. 3, Iss. 1, pp. 1-12
Open Access | Times Cited: 6
Detection of COVID-19 With CT Images Using Hybrid Complex Shearlet Scattering Networks
Qingyun Ren, Bingyin Zhou, Tian Liang, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 1, pp. 194-205
Closed Access | Times Cited: 14
Feature discretization-based deep clustering for thyroid ultrasound image feature extraction
Ruiguo Yu, Yuan Tian, Jie Gao, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105600-105600
Closed Access | Times Cited: 10
How does AI use drive individual digital resilience? a conservation of resources (COR) theory perspective
Qian Hu, Yaobin Lu, Zhao Pan, et al.
Behaviour and Information Technology (2022) Vol. 42, Iss. 15, pp. 2654-2673
Closed Access | Times Cited: 10
ISW-LM: An intensive symptom weight learning mechanism for early COVID-19 diagnosis
Lingling Fang, Xiyue Liang
Computers in Biology and Medicine (2022) Vol. 146, pp. 105615-105615
Open Access | Times Cited: 8
Enhancing Precision of Telemonitoring of COVID-19 Patients through Expert System Based on IoT Data Elaboration
Martina Olivelli, Massimiliano Donati, Annamaria Vianello, et al.
Electronics (2024) Vol. 13, Iss. 8, pp. 1462-1462
Open Access | Times Cited: 1
Accurate segmentation of COVID-19 infected regions in lung CT scans with deep learning
U. Lenin Marksia, C. Yesubai Rubavathi
Neural Computing and Applications (2024)
Open Access | Times Cited: 1
Comparative Study Based on Analysis of Coronavirus Disease (COVID-19) Detection and Prediction Using Machine Learning Models
R. Abirami, Girish Kumar
SN Computer Science (2021) Vol. 3, Iss. 1
Open Access | Times Cited: 10
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