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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:

Environmental sound monitoring using machine learning on mobile devices
Marc Green, Damian Murphy
Applied Acoustics (2019) Vol. 159, pp. 107041-107041
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Environmental sound classification using a regularized deep convolutional neural network with data augmentation
Zohaib Mushtaq, Shun‐Feng Su
Applied Acoustics (2020) Vol. 167, pp. 107389-107389
Closed Access | Times Cited: 132
CNN hyper-parameter optimization for environmental sound classification
Özkan İni̇k
Applied Acoustics (2022) Vol. 202, pp. 109168-109168
Closed Access | Times Cited: 46
A spatially based machine learning algorithm for potential mapping of the hearing senses in an urban environment
Mahsa Farahani, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki
Sustainable Cities and Society (2022) Vol. 80, pp. 103675-103675
Closed Access | Times Cited: 25
A CNN Sound Classification Mechanism Using Data Augmentation
Hung‐Chi Chu, Young-Lin Zhang, Hao-Chu Chiang
Sensors (2023) Vol. 23, Iss. 15, pp. 6972-6972
Open Access | Times Cited: 15
Improving Soundscape Comfort in Urban Green Spaces Based on Aural-Visual Interaction Attributes of Landscape Experience
Yuhan Shao, Yiying Hao, Yuting Yin, et al.
Forests (2022) Vol. 13, Iss. 8, pp. 1262-1262
Open Access | Times Cited: 21
Environment Knowledge-Driven Generic Models to Detect Coughs From Audio Recordings
Sudip Vhaduri, Sayanton V. Dibbo, Yugyeong Kim
IEEE Open Journal of Engineering in Medicine and Biology (2023) Vol. 4, pp. 55-66
Open Access | Times Cited: 12
Real-Time Acoustic Scene Recognition for Elderly Daily Routines Using Edge-Based Deep Learning
Hongyu Yang, Ronald Y. Dong, Rong Guo, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1746-1746
Open Access
Smartphone-Based Participatory Soundscape Mapping for a More Sustainable Acoustic Environment
Giovanni Brambilla, Francesca Pedrielli
Sustainability (2020) Vol. 12, Iss. 19, pp. 7899-7899
Open Access | Times Cited: 27
IoT Embedded Smart Monitoring System with Edge Machine Learning for Beehive Management
Mihai Doinea, Ioana Trandafir, Cristian-Valeriu Toma, et al.
International Journal of Computers Communications & Control (2024) Vol. 19, Iss. 4
Open Access | Times Cited: 2
Can urban forests provide acoustic refuges for birds? Investigating the influence of vegetation structure and anthropogenic noise on bird sound diversity
Zezhou Hao, Chengyun Zhang, Le Li, et al.
Journal of Forestry Research (2024) Vol. 35, Iss. 1
Open Access | Times Cited: 2
Space-time characterization of community noise and sound sources in Accra, Ghana
Sierra Clark, Abosede S. Alli, Ricky Nathvani, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 13
FusedTSNet: An automated nocturnal sleep sound classification method based on a fused textural and statistical feature generation network
Erhan Akbal, Türker Tuncer
Applied Acoustics (2020) Vol. 171, pp. 107559-107559
Closed Access | Times Cited: 13
Blind source separation by long-term monitoring: A variational autoencoder to validate the clustering analysis
Domenico De Salvio, Michael J. Bianco, Peter Gerstoft, et al.
The Journal of the Acoustical Society of America (2023) Vol. 153, Iss. 1, pp. 738-750
Closed Access | Times Cited: 5
Smartphones, a tool for noise monitoring and noise mapping: an overview
A. L. Padilla-Ortíz, F. Arturo Machuca-Tzili, David I. Ibarra-Zárate
International Journal of Environmental Science and Technology (2022) Vol. 20, Iss. 3, pp. 3521-3536
Closed Access | Times Cited: 8
Environmental sound classification based on adding noise
Wen Yuan Zhao, Bo Yin
2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA) (2021), pp. 887-892
Closed Access | Times Cited: 10
Citizens as Environmental Sensors: Noise Mapping and Assessment on Lemnos Island, Greece, Using VGI and Web Technologies
Sofianos Sofianopoulos, Stefanos Stigas, Efstathios Stratakos, et al.
European Journal of Geography (2024) Vol. 15, Iss. 2, pp. 106-119
Open Access | Times Cited: 1
Audio Texture Analysis of Biomedical Audio Signals
Garima Sharma
(2024)
Open Access | Times Cited: 1
Implementation of Artificial Intelligence for Classification of Frogs in Bioacoustics
Kuo-Wei Chao, Nian-Ze Hu, Yi-Chu Chao, et al.
Symmetry (2019) Vol. 11, Iss. 12, pp. 1454-1454
Open Access | Times Cited: 10
Trends in Audio Texture Analysis, Synthesis, and Applications
Garima Sharma, Karthikeyan Umapathy
Journal of the Audio Engineering Society (2022) Vol. 70, Iss. 3, pp. 108-127
Open Access | Times Cited: 6
Assessment of soundscapes using self-report and physiological measures
Simon Durbridge, Damian Murphy
Acta Acustica (2023) Vol. 7, pp. 6-6
Open Access | Times Cited: 3
ÇEVRESEL SESLERİN EVRİŞİMSEL SİNİR AĞLARI İLE SINIFLANDIRILMASI
Yalçın DİNÇER, Özkan İni̇k
Konya Journal of Engineering Sciences (2023) Vol. 11, Iss. 2, pp. 468-490
Open Access | Times Cited: 2
CnnSound: Convolutional Neural Networks for the Classification of Environmental Sounds
Hüseyin Şeker, Özkan İni̇k
(2020), pp. 79-84
Open Access | Times Cited: 5
Narrative Review of Soundscape Studies
Julia Chieng, Cheong Jan Chan
International Journal of Academic Research in Business and Social Sciences (2021) Vol. 11, Iss. 11
Open Access | Times Cited: 5
Towards Speech Robustness for Acoustic Scene Classification
Shuo Liu, Andreas Triantafyllopoulos, Zhao Ren, et al.
Interspeech 2022 (2020), pp. 3087-3091
Open Access | Times Cited: 4
Sound Classification System Using Deep Neural Networks for Hearing Impaired People
S. Veena, D. John Aravindhar
Wireless Personal Communications (2022) Vol. 126, Iss. 1, pp. 385-399
Closed Access | Times Cited: 3
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