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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:

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

Showing 1-25 of 76 citing articles:

BirdNET: A deep learning solution for avian diversity monitoring
Stefan Kahl, Connor M. Wood, Maximilian Eibl, et al.
Ecological Informatics (2021) Vol. 61, pp. 101236-101236
Open Access | Times Cited: 447
A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network
Jack LeBien, Ming Zhong, Marconi Campos‐Cerqueira, et al.
Ecological Informatics (2020) Vol. 59, pp. 101113-101113
Open Access | Times Cited: 144
Workflow and convolutional neural network for automated identification of animal sounds
Zachary J. Ruff, Damon B. Lesmeister, Cara L. Appel, et al.
Ecological Indicators (2021) Vol. 124, pp. 107419-107419
Open Access | Times Cited: 82
Classification of pig calls produced from birth to slaughter according to their emotional valence and context of production
Elodie F. Briefer, Ciara Cleo-Rose Sypherd, Pavel Linhart, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 53
Passive acoustic monitoring of animal populations with transfer learning
Emmanuel Dufourq, Carly Batist, Ruben Foquet, et al.
Ecological Informatics (2022) Vol. 70, pp. 101688-101688
Open Access | Times Cited: 53
Passive acoustic monitoring effectively detects Northern Spotted Owls and Barred Owls over a range of forest conditions
Leila S. Duchac, Damon B. Lesmeister, Katie M. Dugger, et al.
Ornithological Applications (2020) Vol. 122, Iss. 3
Open Access | Times Cited: 51
The Rapid Rise of Next-Generation Natural History
Marie I. Tosa, Emily Dziedzic, Cara L. Appel, et al.
Frontiers in Ecology and Evolution (2021) Vol. 9
Open Access | Times Cited: 49
Domain‐specific neural networks improve automated bird sound recognition already with small amount of local data
Patrik Lauha, Panu Somervuo, Petteri Lehikoinen, et al.
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 12, pp. 2799-2810
Open Access | Times Cited: 33
BEANS: The Benchmark of Animal Sounds
Masato Hagiwara, Benjamin Hoffman, Jen-Yu Liu, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)
Open Access | Times Cited: 18
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
OpenSoundscape: An open‐source bioacoustics analysis package for Python
Sam Lapp, Tessa A. Rhinehart, Louis Freeland‐Haynes, et al.
Methods in Ecology and Evolution (2023) Vol. 14, Iss. 9, pp. 2321-2328
Open Access | Times Cited: 17
A Methodological Literature Review of Acoustic Wildlife Monitoring Using Artificial Intelligence Tools and Techniques
Sandhya Sharma, Kazuhiko Sato, Bishnu Prasad Gautam
Sustainability (2023) Vol. 15, Iss. 9, pp. 7128-7128
Open Access | Times Cited: 16
Extensive data engineering to the rescue: building a multi-species katydid detector from unbalanced, atypical training datasets
Shyam Madhusudhana, Holger Klinck, Laurel B. Symes
Philosophical Transactions of the Royal Society B Biological Sciences (2024) Vol. 379, Iss. 1904
Open Access | Times Cited: 7
Birdsong Detection at the Edge with Deep Learning
Simone Disabato, Giuseppe Canonaco, Paul G. Flikkema, et al.
(2021), pp. 9-16
Closed Access | Times Cited: 33
Recognition of Different Bird Category Using Image Processing
Bipin Kumar, Shivani Sharma, Gautam Kumar, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2022) Vol. 18, Iss. 07, pp. 101-114
Open Access | Times Cited: 22
Exploring the landscape of automated species identification apps: Development, promise, and user appraisal
Minh‐Xuan Truong, René van der Wal
BioScience (2024) Vol. 74, Iss. 9, pp. 601-613
Open Access | Times Cited: 4
Beyond amplitude: Phase integration in bird vocalization recognition with MHAResNet
Jiangjian Xie, Zhenye Hao, Chunhe Hu, et al.
Avian Research (2025), pp. 100229-100229
Open Access
DFEFM: Fusing frequency correlation and mel features for robust edge bird audio detection
Yingqi Wang, Luyang Zhang, Jiangjian Xie, et al.
Avian Research (2025), pp. 100232-100232
Open Access
Classification of animal sounds in a hyperdiverse rainforest using convolutional neural networks with data augmentation
Yuren Sun, Tatiana Midori Maeda, Claudia Solís‐Lemus, et al.
Ecological Indicators (2022) Vol. 145, pp. 109621-109621
Open Access | Times Cited: 21
AMResNet: An automatic recognition model of bird sounds in real environment
Hanguang Xiao, Daidai Liu, Kai Chen, et al.
Applied Acoustics (2022) Vol. 201, pp. 109121-109121
Closed Access | Times Cited: 19
Using passive acoustic monitoring to estimate northern spotted owl landscape use and pair occupancy
Cara L. Appel, Damon B. Lesmeister, Adam Duarte, et al.
Ecosphere (2023) Vol. 14, Iss. 2
Open Access | Times Cited: 11
An AIoT System for Bat Species Classification
Imran Zualkernan, Jacky Judas, Taslim Mahbub, et al.
(2021)
Closed Access | Times Cited: 23
Convolutional Neural Networks for the Identification of African Lions from Individual Vocalizations
Martino Trapanotto, Loris Nanni, Sheryl Brahnam, et al.
Journal of Imaging (2022) Vol. 8, Iss. 4, pp. 96-96
Open Access | Times Cited: 14
Acoustic Classification of Bird Species Using an Early Fusion of Deep Features
Jie Xie, Mingying Zhu
Birds (2023) Vol. 4, Iss. 1, pp. 138-147
Open Access | Times Cited: 8
Utilizing DeepSqueak for automatic detection and classification of mammalian vocalizations: a case study on primate vocalizations
Daniel Romero‐Mujalli, Tjard Bergmann, Axel Zimmermann, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 18
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