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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:

Automatic anuran identification using noise removal and audio activity detection
Jesús B. Alonso, Josué Cabrera, Rohit Shyamnani, et al.
Expert Systems with Applications (2016) Vol. 72, pp. 83-92
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Automated identification of avian vocalizations with deep convolutional neural networks
Zachary J. Ruff, Damon B. Lesmeister, Leila S. Duchac, et al.
Remote Sensing in Ecology and Conservation (2019) Vol. 6, Iss. 1, pp. 79-92
Closed Access | Times Cited: 76
Advancements in preprocessing, detection and classification techniques for ecoacoustic data: A comprehensive review for large-scale Passive Acoustic Monitoring
Thomas R. Napier, Euijoon Ahn, Slade Allen‐Ankins, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124220-124220
Open Access | Times Cited: 8
Pattern Mining Approaches Used in Sensor-Based Biometric Recognition: A Review
Jyotismita Chaki, Nilanjan Dey, Fuqian Shi, et al.
IEEE Sensors Journal (2019) Vol. 19, Iss. 10, pp. 3569-3580
Open Access | Times Cited: 64
Systematic review of machine learning methods applied to ecoacoustics and soundscape monitoring
Daniel Alexis Nieto-Mora, Susana Rodríguez‐Buriticá, Paula Andrea Rodríguez Marín, et al.
Heliyon (2023) Vol. 9, Iss. 10, pp. e20275-e20275
Open Access | Times Cited: 20
An Improved Spectral Subtraction Method for Eliminating Additive Noise in Condition Monitoring System Using Fiber Bragg Grating Sensors
Qi Liu, Yongchao Yu, Boon Siew Han, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 443-443
Open Access | Times Cited: 7
LEAVES: An open-source web-based tool for the scalable annotation and visualisation of large-scale ecoacoustic datasets using cluster analysis
Thomas R. Napier, Euijoon Ahn, Slade Allen‐Ankins, et al.
Ecological Informatics (2025), pp. 103026-103026
Open Access
Bioacoustic signal denoising: a review
Jie Xie, Juan G. Colonna, Jinglan Zhang
Artificial Intelligence Review (2020) Vol. 54, Iss. 5, pp. 3575-3597
Closed Access | Times Cited: 49
Automatic synthesis of insects bioacoustics using machine learning: a systematic review
Henry Kyalo, Henri E. Z. Tonnang, James P. Egonyu, et al.
International Journal of Tropical Insect Science (2025)
Open Access
Feature Extraction Methods in Language Identification: A Survey
Deepti Deshwal, Pardeep Sangwan, Divya Kumar
Wireless Personal Communications (2019) Vol. 107, Iss. 4, pp. 2071-2103
Closed Access | Times Cited: 39
Toward a Computational Neuroethology of Vocal Communication: From Bioacoustics to Neurophysiology, Emerging Tools and Future Directions
Tim Sainburg, Timothy Q. Gentner
Frontiers in Behavioral Neuroscience (2021) Vol. 15
Open Access | Times Cited: 27
Patterns of biophonic periodicity on coral reefs in the Great Barrier Reef
Jamie N. McWilliam, Robert D. McCauley, Christine Erbe, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 38
Automatic rain and cicada chorus filtering of bird acoustic data
Alexander Brown, Saurabh Garg, James Montgomery
Applied Soft Computing (2019) Vol. 81, pp. 105501-105501
Open Access | Times Cited: 32
Non-sequential automatic classification of anuran sounds for the estimation of climate-change indicators
Amalia Luque, Javier Romero-Lemos, Alejandro Carrasco, et al.
Expert Systems with Applications (2017) Vol. 95, pp. 248-260
Open Access | Times Cited: 29
Explainable automated anuran sound classification using improved one-dimensional local binary pattern and Tunable Q Wavelet Transform techniques
Erhan Akbal, Prabal Datta Barua, Şengül Doğan, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120089-120089
Closed Access | Times Cited: 8
Automatic and Efficient Denoising of Bioacoustics Recordings Using MMSE STSA
Alexander Brown, Saurabh Garg, James Montgomery
IEEE Access (2017) Vol. 6, pp. 5010-5022
Open Access | Times Cited: 26
Automated call detection for acoustic surveys with structured calls of varying length
Yuheng Wang, Juan Ye, David L. Borchers
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 7, pp. 1552-1567
Open Access | Times Cited: 11
The impacts of fine-tuning, phylogenetic distance, and sample size on big-data bioacoustics
Kaiya L. Provost, Jiaying Yang, Bryan C. Carstens
PLoS ONE (2022) Vol. 17, Iss. 12, pp. e0278522-e0278522
Open Access | Times Cited: 10
Optimal Representation of Anuran Call Spectrum in Environmental Monitoring Systems Using Wireless Sensor Networks
Amalia Luque Sendra, Jesús Gómez-Bellido, Alejandro Carrasco, et al.
Sensors (2018) Vol. 18, Iss. 6, pp. 1803-1803
Open Access | Times Cited: 17
iHELP: a model for instant learning of video coding in VR/AR real-time applications
Yousef Sharrab, Mohammad Alsmirat, Mohammad Ali H. Eljinini, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 33, pp. 79397-79436
Closed Access | Times Cited: 1
Feature evaluation for unsupervised bioacoustic signal segmentation of anuran calls
Juan G. Colonna, Eduardo F. Nakamura, Osvaldo A. Rosso
Expert Systems with Applications (2018) Vol. 106, pp. 107-120
Open Access | Times Cited: 13
Estimating ecoacoustic activity in the Amazon rainforest through Information Theory quantifiers
Juan G. Colonna, José Reginaldo H. Carvalho, Osvaldo A. Rosso
PLoS ONE (2020) Vol. 15, Iss. 7, pp. e0229425-e0229425
Open Access | Times Cited: 12
A tristimulus-formant model for automatic recognition of call types of laying hens
Xiaodong Du, Guanghui Teng, Chaoyuan Wang, et al.
Computers and Electronics in Agriculture (2021) Vol. 187, pp. 106221-106221
Closed Access | Times Cited: 10
Scalable preprocessing of high volume environmental acoustic data for bioacoustic monitoring
Alexander Brown, Saurabh Garg, James Montgomery
PLoS ONE (2018) Vol. 13, Iss. 8, pp. e0201542-e0201542
Open Access | Times Cited: 11
Mutual singular spectrum analysis for bioacoustics classification
Bernardo B. Gatto, Juan G. Colonna, Eulanda M. dos Santos, et al.
(2017), pp. 1-6
Closed Access | Times Cited: 10
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
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