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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:

Methods for Adventitious Respiratory Sound Analyzing Applications Based on Smartphones: A Survey
Seyed Amir Hossein Tabatabaei, Patrick Fischer, Henning Schneider, et al.
IEEE Reviews in Biomedical Engineering (2020) Vol. 14, pp. 98-115
Closed Access | Times Cited: 21

Showing 21 citing articles:

HEECCNB: An Efficient IoT-Cloud Architecture for Secure Patient Data Transmission and Accurate Disease Prediction in Healthcare Systems
C S Veena, Mulagundla Sridevi, Kazi Kutubuddin Sayyad Liyakat, et al.
(2023), pp. 407-410
Closed Access | Times Cited: 28
Lung disease recognition methods using audio-based analysis with machine learning
Ahmad H. Sabry, Omar I. Dallal Bashi, N. H. Nik Ali, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26218-e26218
Open Access | Times Cited: 12
Automatic Detection of COVID-19 Based on Short-Duration Acoustic Smartphone Speech Analysis
Brian Stasak, Zhaocheng Huang, Sabah Razavi, et al.
Journal of Healthcare Informatics Research (2021) Vol. 5, Iss. 2, pp. 201-217
Open Access | Times Cited: 45
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: 37
Exploring machine learning for audio-based respiratory condition screening: A concise review of databases, methods, and open issues
Xia Tong, Jing Han, Cecilia Mascolo
Experimental Biology and Medicine (2022) Vol. 247, Iss. 22, pp. 2053-2061
Open Access | Times Cited: 23
Pulmo-TS2ONN: A Novel Triple Scale Self Operational Neural Network for Pulmonary Disorder Detection Using Respiratory Sounds
Arka Roy, Udit Satija, Saurabh Karmakar
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 4
Prototype Learning for Interpretable Respiratory Sound Analysis
Zhao Ren, Thanh Tam Nguyen, Wolfgang Nejdl
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022), pp. 9087-9091
Open Access | Times Cited: 17
A Novel Snore Detection and Suppression Method for a Flexible Patch With MEMS Microphone and Accelerometer
Chunhua He, Jiewen Tan, Xuelei Jian, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 24, pp. 25791-25804
Closed Access | Times Cited: 15
Lung Auscultation Using the Smartphone—Feasibility Study in Real-World Clinical Practice
Henrique Ferreira‐Cardoso, Cristina Jácome, Sónia Silva, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4931-4931
Open Access | Times Cited: 20
Explainable Siamese Neural Network for Classifying Pediatric Respiratory Sounds
Stavros Ntalampiras
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 10, pp. 4728-4735
Closed Access | Times Cited: 7
Smart Devices Are Poised to Revolutionize the Usefulness of Respiratory Sounds
Steve S. Kraman, Hans Pasterkamp, George R. Wodicka
CHEST Journal (2023) Vol. 163, Iss. 6, pp. 1519-1528
Closed Access | Times Cited: 4
A New Shapley-Based Feature Selection Method in a Clinical Decision Support System for the Identification of Lung Diseases
Fevzi Yasin Kababulut, Damla Kuntalp, Okan Düzyel, et al.
Diagnostics (2023) Vol. 13, Iss. 23, pp. 3558-3558
Open Access | Times Cited: 2
Deep Learning Based COVID-19 Detection: Challenges and Future Directions
Muhammad Khurram Khan, Quratulain Arshad, Faisal Azam, et al.
(2021)
Open Access | Times Cited: 4
An Enhanced Deep Learning Approach for Disease Classification from Respiratory Sound
Oggula Raju, Dantam Ramesh
(2024), pp. 264-269
Closed Access
Enhancing Lung Acoustic Signals Classification With Eigenvectors-Based and Traditional Augmentation Methods
Naseem Babu, P. Dayananda, Jimson Mathew
IEEE Access (2024) Vol. 12, pp. 87691-87700
Open Access
Self-Explaining Neural Networks for Respiratory Sound Classification with Scale-free Interpretability
Zhao Ren, Thành Tâm Nguyên, Mohammad Mehdi Zahed, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 01-07
Closed Access | Times Cited: 1
Differentiation of Dry and Wet Cough Sounds using A Deep Learning Model and Data Augmentation
Saiful Huq
(2023)
Open Access | Times Cited: 1
ILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory Sounds
Arka Roy, Udit Satija
(2024), pp. 1-5
Closed Access
Deep-Learning-Based COVID-19 Detection: Challenges and Future Directions
Quratulain Arshad, Wazir Zada Khan, Faisal Azam, et al.
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 2, pp. 210-228
Open Access | Times Cited: 2
Development of Cough Detection Pre-Screening System Architecture Methodology Using PSKVE-S with a Design Thinking Approach
Arifa Fauziya, Armein Z. R. Langi
(2023), pp. 179-182
Closed Access
2021 Index IEEE Reviews in Biomedical Engineering Vol. 14

IEEE Reviews in Biomedical Engineering (2021) Vol. 14, pp. 357-363
Open Access
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