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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 Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2023) Vol. 36, Iss. 8, pp. 1779-1821
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Deep learning: systematic review, models, challenges, and research directions
Tala Talaei Khoei, Hadjar Ould Slimane, Naima Kaabouch
Neural Computing and Applications (2023) Vol. 35, Iss. 31, pp. 23103-23124
Open Access | Times Cited: 79
A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI
Mirza Mumtaz Zahoor, Shahzad Ahmad Qureshi, Sameena Bibi, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2726-2726
Open Access | Times Cited: 72
A survey of the vision transformers and their CNN-transformer based variants
Asifullah Khan, Zunaira Rauf, Anabia Sohail, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S3, pp. 2917-2970
Closed Access | Times Cited: 60
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: 40
Machine Learning: Models, Challenges, and Research Directions
Tala Talaei Khoei, Naima Kaabouch
Future Internet (2023) Vol. 15, Iss. 10, pp. 332-332
Open Access | Times Cited: 20
Brain Tumor MRI Classification Using a Novel Deep Residual and Regional CNN
Mirza Mumtaz Zahoor, Saddam Hussain Khan, Tahani Jaser Alahmadi, et al.
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1395-1395
Open Access | Times Cited: 10
A new deep boosted CNN and ensemble learning based IoT malware detection
Saddam Hussain Khan, Tahani Jaser Alahmadi, Wasi Ullah, et al.
Computers & Security (2023) Vol. 133, pp. 103385-103385
Open Access | Times Cited: 15
Malaria parasite classification framework using a novel channel squeezed and boosted CNN
Saddam Hussain Khan, Najmus Saher Shah, Rabia Nuzhat, et al.
Microscopy (2022) Vol. 71, Iss. 5, pp. 271-282
Closed Access | Times Cited: 22
Challenges, opportunities, and advances related to COVID-19 classification based on deep learning
Abhishek Agnihotri, Narendra Kohli
Data Science and Management (2023) Vol. 6, Iss. 2, pp. 98-109
Open Access | Times Cited: 13
Utilization of Deep Convolutional Neural Networks for Accurate Chest X-Ray Diagnosis and Disease Detection
Mukesh Mann, Rakesh P. Badoni, Harsh Soni, et al.
Interdisciplinary Sciences Computational Life Sciences (2023) Vol. 15, Iss. 3, pp. 374-392
Open Access | Times Cited: 11
Malaria parasitic detection using a new Deep Boosted and Ensemble Learning framework
Hafiz M. Asif, Saddam Hussain Khan, Tahani Jaser Alahmadi, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 4, pp. 4835-4851
Open Access | Times Cited: 4
Drone Navigation Using Region and Edge Exploitation-Based Deep CNN
Muhammad Arif Arshad, Saddam Hussain Khan, Suleman Qamar, et al.
IEEE Access (2022) Vol. 10, pp. 95441-95450
Open Access | Times Cited: 16
COVID-19 infection analysis framework using novel boosted CNNs and radiological images
Saddam Hussain Khan, Tahani Jaser Alahmadi, Tariq Alsahfi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Artificial Intelligence Based COVID-19 Detection and Classification Model on Chest X-ray Images
Turki Althaqafi, Abdullah Alghamdi, Mahmoud Ragab
Healthcare (2023) Vol. 11, Iss. 9, pp. 1204-1204
Open Access | Times Cited: 8
Enhancing Airway Assessment with a Secure Hybrid Network-Blockchain System for CT & CBCT Image Evaluation
Uppalapati Vamsi Krishna, Srinivasa Rao G, Addepalli Lavanya, et al.
International Research Journal of Multidisciplinary Technovation (2024), pp. 51-69
Open Access | Times Cited: 2
Computer Aided COVID-19 Diagnosis in Pandemic Era Using CNN in Chest X-ray Images
Ali Alqahtani, Mirza Mumtaz Zahoor, Rimsha Nasrullah, et al.
Life (2022) Vol. 12, Iss. 11, pp. 1709-1709
Open Access | Times Cited: 13
Prediction of Omicron Virus Using Combined Extended Convolutional and Recurrent Neural Networks Technique on CT-Scan Images
Anand Kumar Gupta, Asadi Srinivasulu, Kamal Kant Hiran, et al.
Interdisciplinary Perspectives on Infectious Diseases (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 12
Ensemble of Deep Neural Networks based on Condorcet’s Jury Theorem for screening Covid-19 and Pneumonia from radiograph images
Gaurav Srivastava, Nitesh Pradhan, Yashwin Saini
Computers in Biology and Medicine (2022) Vol. 149, pp. 105979-105979
Open Access | Times Cited: 11
Automatic detection of COVID-19 and pneumonia from chest X-ray images using texture features
Farnaz Sheikhi, Aliakbar Taghdiri, Danial Moradisabzevar, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 18, pp. 21449-21473
Closed Access | Times Cited: 5
Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images
Hassaan Malik, Tayyaba Anees, Ahmad Sami Al-Shamayleh, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2772-2772
Open Access | Times Cited: 5
An Improved Big Data Analytics Architecture for Intruder Classification Using Machine Learning
Muhammad Ali Babar, Sarah Kaleem, Adnan Sohail, et al.
Security and Communication Networks (2023) Vol. 2023, pp. 1-7
Open Access | Times Cited: 5
Assessing heart rate and blood pressure estimation from image photoplethysmography using a digital blood pressure meter
Suchin Trirongjitmoah, Arphorn Promking, Khanittha Kaewdang, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e27113-e27113
Open Access | Times Cited: 1
Multi-Level Training and Testing of CNN Models in Diagnosing Multi-Center COVID-19 and Pneumonia X-ray Images
Mohamed Talaat, Xiuhua Si, Jinxiang Xi
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10270-10270
Open Access | Times Cited: 4
Artificial Intelligence Techniques to Predict the Infectious Diseases: Open Challenges and Research Issues
Kavita Thakur, Manjot Kaur, Yogesh Kumar
2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) (2022) Vol. 10, pp. 109-114
Closed Access | Times Cited: 7
Deep SVDD and Transfer Learning for COVID-19 Diagnosis Using CT Images
Akram Ali Alhadad, Reham R. Mostafa, Hazem M. El‐Bakry
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 3
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