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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 recognition of anuran species based on syllable identification
Carol L. Bedoya, Claudia Isaza, Juan M. Daza, et al.
Ecological Informatics (2014) Vol. 24, pp. 200-209
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Potential for Artificial Intelligence (AI) and Machine Learning (ML) Applications in Biodiversity Conservation, Managing Forests, and Related Services in India
K. Nagaraju Shivaprakash, Niraj Swami, Sagar Mysorekar, et al.
Sustainability (2022) Vol. 14, Iss. 12, pp. 7154-7154
Open Access | Times Cited: 91
Ecoacoustics in the rain: understanding acoustic indices under the most common geophonic source in tropical rainforests
Camilo Sánchez‐Giraldo, Carol L. Bedoya, Raúl Alejandro Morán‐Vásquez, et al.
Remote Sensing in Ecology and Conservation (2020) Vol. 6, Iss. 3, pp. 248-261
Open Access | Times Cited: 52
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
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
Acoustic animal identification using unsupervised learning
Maria J. Guerrero, Carol L. Bedoya, José David López, et al.
Methods in Ecology and Evolution (2023) Vol. 14, Iss. 6, pp. 1500-1514
Open Access | Times Cited: 17
Automatic identification of rainfall in acoustic recordings
Carol L. Bedoya, Claudia Isaza, Juan M. Daza, et al.
Ecological Indicators (2016) Vol. 75, pp. 95-100
Closed Access | Times Cited: 53
Automatic bioacoustics noise reduction method based on a deep feature loss network
Chengyun Zhang, Kaiying He, Xinghui Gao, et al.
Ecological Informatics (2024) Vol. 80, pp. 102517-102517
Open Access | Times Cited: 4
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
Automatic fish sounds classification
Marielle Malfante, Jérôme I. Mars, Mauro Dalla Mura, et al.
The Journal of the Acoustical Society of America (2018) Vol. 143, Iss. 5, pp. 2834-2846
Open Access | Times Cited: 45
Bioacoustics Data Analysis – A Taxonomy, Survey and Open Challenges
Rama Rao K. V. S. N., James Montgomery, Saurabh Garg, et al.
IEEE Access (2020) Vol. 8, pp. 57684-57708
Open Access | Times Cited: 37
Automated species identification of frog choruses in environmental recordings using acoustic indices
Sheryn Brodie, Slade Allen‐Ankins, Michael Towsey, et al.
Ecological Indicators (2020) Vol. 119, pp. 106852-106852
Open Access | Times Cited: 36
Adaptive frequency scaled wavelet packet decomposition for frog call classification
Jie Xie, Michael Towsey, Jinglan Zhang, et al.
Ecological Informatics (2016) Vol. 32, pp. 134-144
Closed Access | Times Cited: 33
Acoustic classification of Australian frogs based on enhanced features and machine learning algorithms
Jie Xie, Michael Towsey, Jinglan Zhang, et al.
Applied Acoustics (2016) Vol. 113, pp. 193-201
Open Access | Times Cited: 32
An intelligent system for estimating frog community calling activity and species richness
Jie Xie, Michael Towsey, Mingying Zhu, et al.
Ecological Indicators (2017) Vol. 82, pp. 13-22
Closed Access | Times Cited: 30
Methodology for automatic bioacoustic classification of anurans based on feature fusion
Juan J. Noda, Carlos M. Travieso, David Sánchez-Rodríguez
Expert Systems with Applications (2015) Vol. 50, pp. 100-106
Closed Access | Times Cited: 29
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
On LAMDA clustering method based on typicality degree and intuitionistic fuzzy sets
Javier F. Botía, Diego José Luis Botía Valderrama
Expert Systems with Applications (2018) Vol. 107, pp. 196-221
Closed Access | Times Cited: 27
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
Frog call classification: a survey
Jie Xie, Michael Towsey, Jinglan Zhang, et al.
Artificial Intelligence Review (2016) Vol. 49, Iss. 3, pp. 375-391
Closed Access | Times Cited: 25
Anuran call classification with deep learning
Julia Strout, Bryce Rogan, S. M. Mahdi Seyednezhad, et al.
(2017), pp. 2662-2665
Closed Access | Times Cited: 24
Assessing the value of acoustic indices to distinguish species and quantify activity: A case study using frogs
Karlina Indraswari, Deborah S. Bower, David Tucker, et al.
Freshwater Biology (2018) Vol. 65, Iss. 1, pp. 142-152
Closed Access | Times Cited: 22
Frog calling activity detection using lightweight CNN with multi-view spectrogram: A case study on Kroombit tinker frog
Jie Xie, Mingying Zhu, Kai Hu, et al.
Machine Learning with Applications (2021) Vol. 7, pp. 100202-100202
Open Access | Times Cited: 16
Acoustic classification of frog within-species and species-specific calls
Jie Xie, Karlina Indraswari, Lin Schwarzkopf, et al.
Applied Acoustics (2017) Vol. 131, pp. 79-86
Closed Access | Times Cited: 19
Application of image processing techniques for frog call classification
Jie Xie, Michael Towsey, Jinglan Zhang, et al.
2022 IEEE International Conference on Image Processing (ICIP) (2015), pp. 4190-4194
Open Access | Times Cited: 17
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