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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:

Feature extraction for the differentiation of dry and wet cough sounds
Hanieh Chatrzarrin, Amaya Arcelus, Rafik Goubran, et al.
IEEE International Symposium on Medical Measurements and Applications (2011), pp. 162-166
Closed Access | Times Cited: 95

Showing 1-25 of 95 citing articles:

AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app
Ali Imran, Iryna Posokhova, Haneya Naeem Qureshi, et al.
Informatics in Medicine Unlocked (2020) Vol. 20, pp. 100378-100378
Open Access | Times Cited: 593
The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms
Lara Orlandic, Tomás Teijeiro, David Atienza
Scientific Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 269
COVID-19 cough classification using machine learning and global smartphone recordings
Madhurananda Pahar, Marisa Klopper, Robin M. Warren, et al.
Computers in Biology and Medicine (2021) Vol. 135, pp. 104572-104572
Open Access | Times Cited: 249
A Cough-Based Algorithm for Automatic Diagnosis of Pertussis
Renard Xaviero Adhi Pramono, Syed Anas Imtiaz, Esther Rodriguez–Villegas
PLoS ONE (2016) Vol. 11, Iss. 9, pp. e0162128-e0162128
Open Access | Times Cited: 151
Robust Detection of COVID-19 in Cough Sounds
Pauline Mouawad, Tammuz Dubnov, Shlomo Dubnov
SN Computer Science (2021) Vol. 2, Iss. 1
Open Access | Times Cited: 101
A Generic Deep Learning Based Cough Analysis System From Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels
Javier Andreu-Pérez, Humberto Pérez-Espinosa, Eva Timonet‐Andreu, et al.
IEEE Transactions on Services Computing (2021) Vol. 15, Iss. 3, pp. 1220-1232
Open Access | Times Cited: 80
COVID-19 detection in cough, breath and speech using deep transfer learning and bottleneck features
Madhurananda Pahar, Marisa Klopper, Robin M. Warren, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105153-105153
Open Access | Times Cited: 77
Automated detection of COVID-19 cough
Alberto Tena, F. Clariá, Francesc Solsona
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103175-103175
Open Access | Times Cited: 76
Identifying COVID-19 by using spectral analysis of cough recordings: a distinctive classification study
Negin Manshouri
Cognitive Neurodynamics (2021) Vol. 16, Iss. 1, pp. 239-253
Open Access | Times Cited: 57
Automatic cough classification for tuberculosis screening in a real-world environment
Madhurananda Pahar, Marisa Klopper, Byron Reeve, et al.
Physiological Measurement (2021) Vol. 42, Iss. 10, pp. 105014-105014
Open Access | Times Cited: 56
Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough
Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, et al.
IEEE Journal of Selected Topics in Signal Processing (2022) Vol. 16, Iss. 2, pp. 175-187
Open Access | Times Cited: 42
Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound
Skander Hamdi, Mourad Oussalah, Abdelouahab Moussaoui, et al.
Journal of Intelligent Information Systems (2022) Vol. 59, Iss. 2, pp. 367-389
Open Access | Times Cited: 38
TussisWatch: A Smart-Phone System to Identify Cough Episodes as Early Symptoms of Chronic Obstructive Pulmonary Disease and Congestive Heart Failure
Anthony Windmon, Mona Minakshi, Pratool Bharti, et al.
IEEE Journal of Biomedical and Health Informatics (2018) Vol. 23, Iss. 4, pp. 1566-1573
Open Access | Times Cited: 64
Continuous Sound Collection Using Smartphones and Machine Learning to Measure Cough
Lucia Cesnakova, Vladimír Boža, Peter Dubec, et al.
Digital Biomarkers (2019) Vol. 3, Iss. 3, pp. 166-175
Open Access | Times Cited: 61
Diagnosis of COVID-19 and non-COVID-19 patients by classifying only a single cough sound
Mesut Melek
Neural Computing and Applications (2021) Vol. 33, Iss. 24, pp. 17621-17632
Open Access | Times Cited: 41
Past and Trends in Cough Sound Acquisition, Automatic Detection and Automatic Classification: A Comparative Review
Antoine Serrurier, Christiane Neuschaefer-Rube, Rainer Röhrig
Sensors (2022) Vol. 22, Iss. 8, pp. 2896-2896
Open Access | Times Cited: 35
Intelligentes Mehrsensor-System zur Fernüberwachung von COVID-19
G. Zaz, Malika Alami Marktani, Abdessamad Elboushaki, et al.
(2025), pp. 161-175
Closed Access
Automatic Identification of Wet and Dry Cough in Pediatric Patients with Respiratory Diseases
Vinayak Swarnkar, Udantha R. Abeyratne, Anne B. Chang, et al.
Annals of Biomedical Engineering (2013) Vol. 41, Iss. 5, pp. 1016-1028
Closed Access | Times Cited: 68
Novel Coronavirus Cough Database: NoCoCoDa
Madison Cohen-McFarlane, Rafik Goubran, Frank Knoefel
IEEE Access (2020) Vol. 8, pp. 154087-154094
Open Access | Times Cited: 45
Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification
Hao Xue, Flora D. Salim
(2021), pp. 1944-1952
Open Access | Times Cited: 24
COVID-19 Recognition Based on Patient's Coughing and Breathing Patterns Analysis: Deep Learning Approach
Lazhar Khriji, Ahmed Chiheb Ammari, Seifeddine Messaoud, et al.
(2021), pp. 185-191
Open Access | Times Cited: 24
Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics
Ken Asada, Masaaki Komatsu, Ryo Shimoyama, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 9, pp. 886-886
Open Access | Times Cited: 24
Automatic Non-Invasive Cough Detection based on Accelerometer and Audio Signals
Madhurananda Pahar, Igor Miranda, Andreas H. Diacon, et al.
Journal of Signal Processing Systems (2022) Vol. 94, Iss. 8, pp. 821-835
Open Access | Times Cited: 18
Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification
Saiful Huq, Pengcheng Xi, Rafik Goubran, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2023), pp. 1-6
Closed Access | Times Cited: 9
Pre-Processing and Classification of Cough Sounds in Noisy Environment using SVM
Vikrant Bhateja, Ahmad Taquee, Dilip Kumar Sharma
2021 5th International Conference on Information Systems and Computer Networks (ISCON) (2019), pp. 822-826
Closed Access | Times Cited: 28
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