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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:

Detection of COVID-19 from voice, cough and breathing patterns: Dataset and preliminary results
Vladimir Despotović, Muhannad Ismael, Maël Cornil, et al.
Computers in Biology and Medicine (2021) Vol. 138, pp. 104944-104944
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review
Junaid Iqbal Khan, Jebran Khan, Furqan Ali, et al.
IEEE Access (2022) Vol. 10, pp. 62613-62660
Open Access | Times Cited: 61
Computerized analysis of speech and voice for Parkinson's disease: A systematic review
Quoc Cuong Ngo, Mohammod Abdul Motin, Nemuel Daniel Pah, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107133-107133
Closed Access | Times Cited: 60
A study of using cough sounds and deep neural networks for the early detection of Covid-19
Rumana Islam, Esam Abdel‐Raheem, Mohammed Tarique
Biomedical Engineering Advances (2022) Vol. 3, pp. 100025-100025
Open Access | Times Cited: 59
The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests
F. Manzella, Giovanni Pagliarini, Guido Sciavicco, et al.
Artificial Intelligence in Medicine (2023) Vol. 137, pp. 102486-102486
Open Access | Times Cited: 27
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: 53
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?
K. C. Santosh, Nicholas Rasmussen, Muntasir Mamun, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e958-e958
Open Access | Times Cited: 33
Multimodal deep learning model for Covid-19 detection
Fadilul-lah Yassaanah Issahaku, Xiangwei Liu, Ke Lu, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105906-105906
Closed Access | Times Cited: 8
Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architectures
Giovanni Costantini, Valerio Cesarini, Carlo Robotti, et al.
Knowledge-Based Systems (2022) Vol. 253, pp. 109539-109539
Open Access | Times Cited: 27
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
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: 22
Optimized DEC: An effective cough detection framework using optimal weighted Features-aided deep Ensemble classifier for COVID-19
Muhammad Awais, Abhishek Bhuva, Dipen Bhuva, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105026-105026
Open Access | Times Cited: 13
COVID-19 Detection From Respiratory Sounds With Hierarchical Spectrogram Transformers
Idil Aytekin, Onat Dalmaz, Kaan Gönç, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 3, pp. 1273-1284
Open Access | Times Cited: 12
Lightweight Skip Connections With Efficient Feature Stacking for Respiratory Sound Classification
Youngjin Choi, Hoeryeon Choi, Hwa‐Young Lee, et al.
IEEE Access (2022) Vol. 10, pp. 53027-53042
Open Access | Times Cited: 19
Automatic detection and prediction of COVID-19 in cough audio signals using coronavirus herd immunity optimizer algorithm
G. Ayappan, S. Anila
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Voice EHR: introducing multimodal audio data for health
James Anibal, Hannah Huth, Ming Li, et al.
Frontiers in Digital Health (2025) Vol. 6
Open Access
Advancing Speech Emotion Recognition: A Comparative Study and Enhanced Performance in English and Algerian Dialect Using Uni and Multimodal Transformer
Sabrina Khemis, Abdelouahab Moussaoui, Skander Hamdi
Lecture notes in networks and systems (2025), pp. 87-101
Closed Access
COVID-19 Detection from Optimized Features of Breathing Audio Signals Using Explainable Ensemble Machine Learning
Shahnaz Sultana, A. B. M. Aowlad Hossain, Jahangir Alam
Results in Control and Optimization (2025), pp. 100538-100538
Open Access
SympCoughNet: symptom assisted audio-based COVID-19 detection
Yuhao Lin, Xuan Weng, Bolun Zheng, et al.
Frontiers in Digital Health (2025) Vol. 7
Open Access
Vocal biomarkers correlate with FEV1 variations during methacholine challenge
Giovanni Paoletti, G Costanzo, Morena Merigo, et al.
Clinical and Translational Allergy (2025) Vol. 15, Iss. 4
Open Access
Real-Time Robbery Detection in Public Transport Using Audio Recordings and Deep Learning
Laura Dominguez-Jalili, Josué Espejel-Cabrera, José Sergio Ruíz Castilla, et al.
SN Computer Science (2025) Vol. 6, Iss. 4
Closed Access
Honeybee colony soundscapes: Decoding distance-based cues and environmental stressors
Nayan Di, Chao Zhu, Zongwen Hu, et al.
Ecotoxicology and Environmental Safety (2025) Vol. 297, pp. 118241-118241
Closed Access
Development of a non-invasive Covid-19 detection framework using explainable AI and data augmentation1
Aashitha L. Shamma, Susmitha Vekkot, Deepa Gupta, et al.
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-14
Closed Access | Times Cited: 3
Developing a multi-variate prediction model for COVID-19 from crowd-sourced respiratory voice data
Yuyang Yan, Wafaa Aljbawi, Sami O. Simons, et al.
(2024), pp. 202-217
Open Access | Times Cited: 3
Vocal biomarker predicts fatigue in people with COVID-19: results from the prospective Predi-COVID cohort study
Abir Elbéji, Lu Zhang, Eduardo Higa, et al.
BMJ Open (2022) Vol. 12, Iss. 11, pp. e062463-e062463
Open Access | Times Cited: 14
Voice Features of Sustained Phoneme as COVID-19 Biomarker
Nemuel Daniel Pah, Veronica Indrawati, Dinesh Kumar
IEEE Journal of Translational Engineering in Health and Medicine (2022) Vol. 10, pp. 1-9
Open Access | Times Cited: 12
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