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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:

Deep learning models for detecting respiratory pathologies from raw lung auscultation sounds
Ali Mohammad Alqudah, Shoroq Qazan, Yusra Obeidat
Soft Computing (2022) Vol. 26, Iss. 24, pp. 13405-13429
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Review on the Advancements of Stethoscope Types in Chest Auscultation
Jun Jie Seah, Jiale Zhao, De Yun Wang, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1545-1545
Open Access | Times Cited: 26
Role of Artificial Intelligence in Medical Image Analysis: A Review of Current Trends and Future Directions
Xin Li, Lei Zhang, Jingsi Yang, et al.
Journal of Medical and Biological Engineering (2024) Vol. 44, Iss. 2, pp. 231-243
Closed Access | Times Cited: 11
Künstliche Intelligenz und Machine Learning in der Auskultation – ein Ausblick auf das Projekt DigitaLung
Luca Hilberink, Pia Wehage, Milad Fakhri, et al.
Pneumologie (2025)
Closed Access
A comprehensive review of computerized respiratory sound analysis and deep learning techniques for acoustic signal-based disease classification
E. Sandhya, Bhavya Sri Kodipunjula, Uday Kiran Appalaneni, et al.
AIP conference proceedings (2025) Vol. 3281, pp. 040035-040035
Closed Access
Classification of Adventitious Sounds Combining Cochleogram and Vision Transformers
Loredana Daria Mang, Francisco David González Martínez, D. Martínez-Muñoz, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 682-682
Open Access | Times Cited: 4
Machine learning and deep learning techniques for the analysis of heart disease: a systematic literature review, open challenges and future directions
Megha Bhushan, Akkshat Pandit, Ayush Garg
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 14035-14086
Closed Access | Times Cited: 10
Lung disease detection using EasyNet
Umaisa Hassan, Amit Singhal, Priyanshu Chaudhary
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105944-105944
Closed Access | Times Cited: 3
Developing a prediction model for successful aging among the elderly using machine learning algorithms
Maryam Ahmadi, Raoof Nopour, Somayeh Nasiri
Digital Health (2023) Vol. 9
Open Access | Times Cited: 8
Machine Learning for Automated Classification of Abnormal Lung Sounds Obtained from Public Databases: A Systematic Review
Juan García-Méndez, Amos Lal, Svetlana Herasevich, et al.
Bioengineering (2023) Vol. 10, Iss. 10, pp. 1155-1155
Open Access | Times Cited: 7
Pulmonary disease detection and classification in patient respiratory audio files using long short-term memory neural networks
Pinzhi Zhang, Alagappan Swaminathan, Ahmed Abrar Uddin
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 7
Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging
Arshia Sethi, Pratyusha Muddaloor, Priyanka Anvekar, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5514-5514
Open Access | Times Cited: 4
A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds
Norah Saleh Alghamdi, Mohammed Zakariah, Hanen Karamti
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 82871-82903
Closed Access | Times Cited: 1
Empowering Healthcare: TinyML for Precise Lung Disease Classification
Youssef Abadade, Nabil Benamar, Miloud Bagaa, et al.
Future Internet (2024) Vol. 16, Iss. 11, pp. 391-391
Open Access | Times Cited: 1
Automated Diagnosis of Pulmonary Diseases Using Lung Sound Signals
Umair ul Hassan, Amit Singhal
IETE Journal of Research (2023) Vol. 70, Iss. 5, pp. 4792-4800
Closed Access | Times Cited: 3
Different Respiratory Lung Sounds Prediction using Deep Learning
Rajeshree Parsingbhai Vasava, Hetal A. Joshiara
(2023), pp. 1626-1630
Closed Access | Times Cited: 2
Evolution of the Stethoscope: Advances with the Adoption of Machine Learning and Development of Wearable Devices
Yoonjoo Kim, YunKyong Hyon, Seong‐Dae Woo, et al.
Tuberculosis & respiratory diseases (2023) Vol. 86, Iss. 4, pp. 251-263
Open Access | Times Cited: 2
Performance evaluation of lung sounds classification using deep learning under variable parameters
Zhaoping Wang, Zhiqiang Sun
EURASIP Journal on Advances in Signal Processing (2024) Vol. 2024, Iss. 1
Open Access
An open auscultation dataset for machine learning-based respiratory diagnosis studies
Guanyu Zhou, Chengjian Liu, Xiaoguang Li, et al.
JASA Express Letters (2024) Vol. 4, Iss. 5
Open Access
Recent Trends in the Diagnosis of Pulmonary Disorders using Artificial Intelligence Model
Babitha S Ullal, K N Veena
(2024), pp. 1-7
Closed Access
An Evolutionary Deep Learning for Respiratory Sounds Analysis: A Survey
Zainab H. Albakaa, Alaa Taima Alb-Salih
Lecture notes in networks and systems (2024), pp. 217-235
Closed Access
Comprehensive Lung Sounds Classification Using Advanced Pre-Processing Techniques: Application in Deep Learning Models for Abnormality Detection
Jaenal Arifin, Tri Arief Sardjono, Hendra Kusuma
(2024)
Closed Access
Lung Disease Self-screening Using Deep Learning and Mobile Apps for Telehealth Monitoring
Muhammad Jurej Alhamdi, Al Yafi, Cut Nanda Nurbadriani, et al.
Lecture notes in networks and systems (2024), pp. 299-311
Closed Access
Robust Anomaly Detection of Adventitious Auscultation Signals using Bayesian Belief Tracking
Annapurna Kala, Mounya Elhilali
(2024), pp. 1-5
Closed Access
Adventitious Pulmonary Sound Detection: Leveraging SHAP Explanations and Gradient Boosting Insights
Shiva Shokouhmand, Md. Motiur Rahman, Miad Faezipour, et al.
(2024), pp. 1-4
Closed Access
Wheeze and Crackle Analysis Using Deep Learning
John Amose, P. Manimegalai, S. Priyanga, et al.
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2023), pp. 1097-1103
Closed Access | Times Cited: 1
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