<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v9i6.13192</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Visualization Analysis of Research Status and Hotspots of Computerized Respiratory Sound Analysis Based on CiteSpace</title><url>https://artdesignp.com/journal/JERA/9/6/10.26689/jera.v9i6.13192</url><author>WangYan,XuYu,FanYali,ZhangYang,QiZixuan,ChengYang</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>6</issue><history><date date-type="pub"><published-time>2025-12-16</published-time></date></history><abstract>Objective: To explore the research landscape and hotspots of Computerized Respiratory Sound Analysis (CORSA) and provide a reference for future in-depth studies. Methods: Literature related to CORSA published up to August 27, 2020, was retrieved from the Web of Science Core Collection. CiteSpace 5.6.R3 was used to perform co-authorship analysis, institutional collaboration analysis, keyword co-occurrence analysis, and co-citation analysis. Results: A total of 1,897 publications were included. Co-authorship analysis identified several influential contributors, including Zahra Moussavi, Kenneth Sundaraj, and H. Pasterkamp. Major research institutions included the University of Manitoba, the University of Queensland, and Aristotle University of Thessaloniki. Keyword co-occurrence analysis indicated that “respiratory sound,” “lung sound,” “asthma,” “children,” and “classification” were major research themes. The most frequently co-cited articles were published by Arati Gurung (2011), Mohammed Bahoura (2009), and H. Pasterkamp (1997). Highly cited journals included Chest, the American Journal of Respiratory and Critical Care Medicine, and IEEE Transactions on Biomedical Engineering. Conclusion: CORSA research is primarily driven by European and North American scholars and institutions, with China still in an early stage of development. Current hotspots include respiratory sound acquisition and processing, feature extraction methods such as Mel-frequency cepstral coefficients (MFCCs), and classification techniques based on machine learning and deep learning. CORSA is suitable for diverse populations and is widely applied in respiratory diseases, especially bronchial asthma. Its non-invasive nature offers particular advantages for infants and pregnant women. Although CORSA demonstrates strong clinical potential, its clinical translation remains limited. Advancing clinical applications and bridging the gap between research and practice will be key directions for future development. The prominence of top-tier respiratory and engineering journals among citations suggests that CORSA is an emerging and influential research frontier.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Wang C, Xu J, Yang L, et al., 2018, Prevalence and Risk Factors of Chronic Obstructive Pulmonary Disease in China (The China Pulmonary Health [CPH] Study): A National Cross-Sectional Study. The Lancer, 391(10131): 1706–1717.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Welsby P, Parry G, Smith D, 2003, The Stethoscope: Some Preliminary Investigations. Postgrad Med J, 79(938): 695–698.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Sovijärvi A, Vanderschoot J, Malmberg L, et al., 2000, Definition of Terms for Applications of Respiratory Sounds. Eur Respir Rev, 2000(10): 597–610.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Pasterkamp H, Kraman S, Wodicka G, 1997, Advances Beyond the Stethoscope. American Journal of Respiratory and Critical Care Medicine, 1997(156): 974–987.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Daim T, Rueda G, Martin H, et al., 2006, Forecasting Emerging Technologies: Use of Bibliometrics and Patent Analysis. Technological Forecasting &amp; Social Change, 73(8): 981–1012.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Ellegaard O, Wallin J, 2015, The Bibliometric Analysis of Scholarly Production: How Great is the Impact? Scientometrics, 105(3): 1809–1831.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Gao Y, Shi S, Ma W, et al., 2019, Bibliometric Analysis of Global Research on PD-1 and PD-L1 in the Field of Cancer. Int Immunopharmacol, 2019(72): 374–384.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Lu C, Bing Z, Bi Z, et al., 2019, Top 100 Most Cited Publications on Network Pharmacology: A Bibliometric Analysis. Evid Based Complement Alternat Med, 2019: 1704816.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Chen C, 2004, Searching for Intellectual Turning Points: Progressive Knowledge Domain Visualization. Proc Natl Acad Sci USA, 101(Suppl 1): 5303–10.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Chen C, 2017, Science Mapping: A Systematic Review of the Literature. Journal of Data and Information Science, 2(2): 1–40.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>Chen C, Song M, 2019, Visualizing a Field of Research: A Methodology of Systematic Scientometric Reviews. PLoS One, 14(10): e0223994.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B12" content-type="article"><label>12</label><element-citation publication-type="journal"><p>Wang S, Zhou H, Zheng L, et al., 2021, Global Trends in Research on Macrophages Associated with Acute Lung Injury Over the Past 10 Years: A Bibliometric Analysis. Front Immunol, 2021(12): 669539.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B13" content-type="article"><label>13</label><element-citation publication-type="journal"><p>Synnestvedt M, Chen C, Holmes J, 2005, CiteSpace II: Visualization and Knowledge Discovery in Bibliographic Databases. AMIA Annu Symp Proc, 2005: 724–8.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B14" content-type="article"><label>14</label><element-citation publication-type="journal"><p>Li J, Chen C, 2016, CiteSpace: Scientific Text Mining and Visualization, Capital University of Economics and Business Press, Beijing, 196–198.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B15" content-type="article"><label>15</label><element-citation publication-type="journal"><p>Zong S, 2016, Evaluation of Core Authors Based on Price’s Law and the Composite Index Method: A Case Study of “Chinese Journal of Scientific and Technical Periodicals”. Chinese Journal of Scientific and Technical Periodicals, 27(12): 1310–1314.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B16" content-type="article"><label>16</label><element-citation publication-type="journal"><p>Chen C, 2006, CiteSpace II: Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature. Journal of the American Society for Information Science and Technology, 57(3): 359–377.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B17" content-type="article"><label>17</label><element-citation publication-type="journal"><p>Aria M, Cuccurullo C, 2018, Bibliometrix: An R-Tool for Comprehensive Science Mapping Analysis. Journal of Informetrics, 11(4): 959–975.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B18" content-type="article"><label>18</label><element-citation publication-type="journal"><p>Gurung A, Scrafford C, Tielsch J, et al., 2011, Computerized Lung Sound Analysis as Diagnostic Aid for the Detection of Abnormal Lung Sounds: A Systematic Review and Meta-Analysis. Respir Med, 105(9): 1396–1403.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B19" content-type="article"><label>19</label><element-citation publication-type="journal"><p>Bahoura M, 2009, Pattern Recognition Methods Applied to Respiratory Sounds Classification into Normal and Wheeze Classes. Comput Biol Med, 39(9): 824–843.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B20" content-type="article"><label>20</label><element-citation publication-type="journal"><p>Sovijärvi A, Vanderschoot J, Earis J, 2000, Standardization of Computerized Respiratory Sound Analysis. Eur Respir Rev, 10(77): 585.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B21" content-type="article"><label>21</label><element-citation publication-type="journal"><p>Kaisla T, Sovijärvi A, Piirilä P, et al., 1991, Validated Method for Automatic Detection of Lung Sound Crackles. Med Biol Eng Comput, 29(5): 517–521.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B22" content-type="article"><label>22</label><element-citation publication-type="journal"><p>Ono M, Arakawa K, Mori M, et al., 1989, Separation of Fine Crackles from Vesicular Sounds by a Nonlinear Digital Filter. IEEE Trans Biomed Eng, 36(2): 286–291.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B23" content-type="article"><label>23</label><element-citation publication-type="journal"><p>Suzuki A, Sumi C, Nakayama K, et al., 1995, Real-Time Adaptive Cancellation of Ambient Noise in Lung Sound Measurement. Medical and Biological Engineering and Computing, 33(5): 704–708.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B24" content-type="article"><label>24</label><element-citation publication-type="journal"><p>Mariello A, Battiti R, 2018, Feature Selection based on Neighborhood Entropy. IEEE Transactions on Neural Networks and Learning Systems, 29(12): 6313–6322.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B25" content-type="article"><label>25</label><element-citation publication-type="journal"><p>Kandaswamy A, Kumar C, Ramanathan R, et al., 2004, Neural Classification of Lung Sounds using Wavelet Coefficients. Computers in Biology and Medicine, 34(6): 523–537.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B26" content-type="article"><label>26</label><element-citation publication-type="journal"><p>Flietstra B, Markuzon N, Vyshedskiy A, et al., 2011, Automated Analysis of Crackles in Patients with Interstitial Pulmonary Fibrosis. Pulmonary Medicine, 2011: 7.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B27" content-type="article"><label>27</label><element-citation publication-type="journal"><p>Riella R, Nohama P, Maia J, 2009, A Method for Automatic Detection of Wheezing in Lung Sounds. Brazilian Journal of Medical and Biological Research, 42(7): 674–684.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B28" content-type="article"><label>28</label><element-citation publication-type="journal"><p>Abbas A, Fahim A, 2010, An Automated Computerized Auscultation and Diagnostic System for Pulmonary Diseases. Journal of Medical Systems, 34(6): 1149–1155.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B29" content-type="article"><label>29</label><element-citation publication-type="journal"><p>Azarbarzin A, Moussavi Z, 2010, Unsupervised Classification of Respiratory Sound Signals into Snore/No-Snore Classes. Conference Proceedings of the IEEE Engineering in Medicine and Biology Society, 2010: 3666–3669.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B30" content-type="article"><label>30</label><element-citation publication-type="journal"><p>Wiśniewski M, Zieliński T, 2015, Joint Application of Audio Spectral Envelope and Tonality Index in an E-Asthma Monitoring System. IEEE Journal of Biomedical and Health Informatics, 19(3): 1009–1018.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B31" content-type="article"><label>31</label><element-citation publication-type="journal"><p>Sengupta N, Sahidullah M, Saha G, 2016, Lung Sound Classification Utilizing Cepstral-Based Statistical Features. Computers in Biology and Medicine, 2016(75): 118–29.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B32" content-type="article"><label>32</label><element-citation publication-type="journal"><p>Alsmadi S, Kahya Y, 2008, Development of a DSP-Based Device for Real-Time Classification of Pulmonary Sounds. Computers in Biology and Medicine, 38(1): 53–61.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B33" content-type="article"><label>33</label><element-citation publication-type="journal"><p>Tu J, 1996, The Pros and Cons of Employing Artificial Neural Networks versus Logistic Regression for Predicting Medical Outcomes. Journal of Clinical Epidemiology, 49(11): 1225–31.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B34" content-type="article"><label>34</label><element-citation publication-type="journal"><p>Yang M, Chen C, 1998, On the Modified K-Nearest Neighbor Rule. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 28(3): 461–6.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
