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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:

QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds
Tawsifur Rahman, Nabil Ibtehaz, Amith Khandakar, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 920-920
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Kidney Cancer Diagnosis and Surgery Selection by Machine Learning from CT Scans Combined with Clinical Metadata
Sakib Mahmud, Tariq O. Abbas, Adam Mushtak, et al.
Cancers (2023) Vol. 15, Iss. 12, pp. 3189-3189
Open Access | Times Cited: 35
TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images
Tawsifur Rahman, Amith Khandakar, Ashiqur Rahman, et al.
Cognitive Computation (2024) Vol. 16, Iss. 3, pp. 1393-1412
Open Access | Times Cited: 6
A novel deep learning model to detect COVID-19 based on wavelet features extracted from Mel-scale spectrogram of patients’ cough and breathing sounds
Mohammed Aly, Nouf Saeed Alotaibi
Informatics in Medicine Unlocked (2022) Vol. 32, pp. 101049-101049
Open Access | Times Cited: 23
Visual Detection of COVID-19 from Materials Aspect
Gang Wang, Le Wang, Zheyi Meng, et al.
Advanced Fiber Materials (2022) Vol. 4, Iss. 6, pp. 1304-1333
Open Access | Times Cited: 22
Explainable COVID-19 detection using fractal dimension and vision transformer with Grad-CAM on cough sounds
Nebras Sobahi, Orhan Atıla, Erkan Deniz, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 1066-1080
Open Access | Times Cited: 21
Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey
Amna Kosar, Muhammad Asif, Maaz Bin Ahmad, et al.
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102858-102858
Closed Access | Times Cited: 4
Machine Learning-Based Methods for Detecting Respiratory Abnormalities Using Audio and Visual Analysis: A Review
Sufyan Othman Zaben, Wan Mohd Nazmee Wan Zainon, Ahmad H. Sabry
Results in Engineering (2025), pp. 104744-104744
Open Access
Deep learning approach for early prediction of COVID-19 mortality using chest X-ray and electronic health records
Seung Min Baik, Kyung Sook Hong, Dong Jin Park
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 7
Perovskite-based optoelectronic systems for neuromorphic computing
Yixin Cao, Li Yin, Chun Zhao, et al.
Nano Energy (2023) Vol. 120, pp. 109169-109169
Closed Access | Times Cited: 7
Non-Intrusive Load State Monitoring Through Smart Meter ‎Disaggregation Using 1d Deep ‎Reconstruction Networks
Sakib Mahmud, Mahdi Houchati, Fayçal Bensaali, et al.
(2024)
Closed Access | Times Cited: 1
Automated grading of prenatal hydronephrosis severity from segmented kidney ultrasounds using deep learning
Sakib Mahmud, Tariq O. Abbas, Muhammad E. H. Chowdhury, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124594-124594
Closed Access | Times Cited: 1
Long Short-Term Memory-based Deep Learning Model for COVID-19 Detection using Coughing Sound
Anjali Malviya, Rahul Dixit, Anupam Shukla, et al.
SN Computer Science (2023) Vol. 4, Iss. 5
Closed Access | Times Cited: 3
DMRNet Based Tuberculosis Screening with Cough Sound
Wenlong Xu, Haixin Yuan, Xiaomin Lou, et al.
IEEE Access (2023) Vol. 12, pp. 3960-3968
Open Access | Times Cited: 2
Digital Omicron detection using unscripted voice samples from social media
James Anibal, Adam J. Landa, Hang Nguyen Thi Thu, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
Efficient covid19 disease diagnosis based on cough signal processing and supervised machine learning
Khaled Bensid, Abdelhai Lati, Azeddine Benlamoudi, et al.
Diagnostyka (2022) Vol. 24, Iss. 1, pp. 1-8
Open Access | Times Cited: 3
Exploring the Prospective Role of Connected Vehicles in Monitoring and Response to Pandemics and Disasters
Mohammadhosein Pourgholamali, Aishwarya Sharma, Zhongnan Ye, et al.
(2024)
Open Access
A Comprehensive Review on COVID-19 Detection Based on Cough Sounds, Symptoms, CXR, and CT Images
Chandrakanta Mahanty, S. Gopal Krishna Patro, Sandeep Rathor, et al.
IEEE Access (2024) Vol. 12, pp. 75412-75425
Open Access
TO-LAB model: Real time Touchless Lung Abnormality detection model using USRP based machine learning algorithm
C. Rajeshkumar, K. Ruba Soundar
Technology and Health Care (2024) Vol. 32, Iss. 6, pp. 4309-4330
Closed Access
Cough Sounds, Symptoms, CXR, and CT Images for COVID-19 Detection
Priyanka Pandey, Nidhi Tyagi, Prasant Kumar Pattnaik
Lecture notes in networks and systems (2024), pp. 15-24
Closed Access
Construction and validation of an automatic segmentation method for respiratory sound time labels
Jian‐Gao Fan, Haoran Ni, Xiu‐Lan Chen, et al.
Research Square (Research Square) (2024)
Open Access
A Novel Approach to Detection of COVID-19 and Other Respiratory Diseases Using Autoencoder and LSTM
Anjali Malviya, Rahul Dixit, Anupam Shukla, et al.
SN Computer Science (2024) Vol. 6, Iss. 1
Closed Access
Automatic COVID-19 Detection from Cough Sounds Using Multi-Headed Convolutional Neural Networks
Wei Wang, Qijie Shang, Haoyuan Lu
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 6976-6976
Open Access | Times Cited: 1
Tuberculosis Screening with Cough Sounds Using the Deep Learning Models
Haixin Yuan, Xiaomin Lou, Yuanyuan Chen, et al.
(2023), pp. 444-448
Closed Access | Times Cited: 1
Risk assessment in COVID-19 patients: A multiclass classification approach
Roberto Bárcenas, Ruth Fuentes–García
Informatics in Medicine Unlocked (2022) Vol. 32, pp. 101023-101023
Open Access | Times Cited: 1
COVCOUGH: An Artificial Intelligence Application to Detect COVID-19 Patients through Smartphone-recorded Coughs
Dinh Son Nguyen, Khoa Tran Dang, Huyen Trang Ton Nu
2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (2022), pp. 1518-1522
Open Access | Times Cited: 1
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