Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Autonomous recording units in avian ecological research: current use and future applications
Julia Shonfield, Erin M. Bayne
Avian Conservation and Ecology (2017) Vol. 12, Iss. 1
Open Access | Times Cited: 303

Showing 1-25 of 303 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: 482
Automatic acoustic detection of birds through deep learning: The first Bird Audio Detection challenge
Dan Stowell, Michael D. Wood, Hanna Pamuła, et al.
Methods in Ecology and Evolution (2018) Vol. 10, Iss. 3, pp. 368-380
Open Access | Times Cited: 277
Automated birdsong recognition in complex acoustic environments: a review
Nirosha Priyadarshani, Stephen Marsland, Isabel Castro
Journal of Avian Biology (2018) Vol. 49, Iss. 5
Open Access | Times Cited: 244
Autonomous sound recording outperforms human observation for sampling birds: a systematic map and user guide
Kevin Darras, Péter Batáry, Brett J. Furnas, et al.
Ecological Applications (2019) Vol. 29, Iss. 6
Open Access | Times Cited: 161
Acoustic indices as proxies for biodiversity: a meta‐analysis
Irene Alcocer, Herlander Lima, Larissa Sayuri Moreira Sugai, et al.
Biological reviews/Biological reviews of the Cambridge Philosophical Society (2022) Vol. 97, Iss. 6, pp. 2209-2236
Open Access | Times Cited: 146
Estimating bird density using passive acoustic monitoring: a review of methods and suggestions for further research
Cristian Pérez‐Granados, Juán Traba
Ibis (2021) Vol. 163, Iss. 3, pp. 765-783
Open Access | Times Cited: 138
BirdNET: applications, performance, pitfalls and future opportunities
Cristian Pérez‐Granados
Ibis (2023) Vol. 165, Iss. 3, pp. 1068-1075
Open Access | Times Cited: 55
Comparing the sampling performance of sound recorders versus point counts in bird surveys: A meta‐analysis
Kevin Darras, Péter Batáry, Brett J. Furnas, et al.
Journal of Applied Ecology (2018) Vol. 55, Iss. 6, pp. 2575-2586
Open Access | Times Cited: 135
It's time to listen: there is much to be learned from the sounds of tropical ecosystems
Jessica L. Deichmann, Orlando Acevedo‐Charry, Leah Barclay, et al.
Biotropica (2018) Vol. 50, Iss. 5, pp. 713-718
Open Access | Times Cited: 106
Effects of sample size and network depth on a deep learning approach to species distribution modeling
Donald J. Benkendorf, Charles P. Hawkins
Ecological Informatics (2020) Vol. 60, pp. 101137-101137
Open Access | Times Cited: 106
A roadmap for survey designs in terrestrial acoustic monitoring
Larissa Sayuri Moreira Sugai, Camille Desjonquères, Thiago Sanna Freire Silva, et al.
Remote Sensing in Ecology and Conservation (2019) Vol. 6, Iss. 3, pp. 220-235
Open Access | Times Cited: 101
Per-Channel Energy Normalization: Why and How
Vincent Lostanlen, Justin Salamon, Mark Cartwright, et al.
IEEE Signal Processing Letters (2018) Vol. 26, Iss. 1, pp. 39-43
Open Access | Times Cited: 84
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: 84
Robust sound event detection in bioacoustic sensor networks
Vincent Lostanlen, Justin Salamon, Andrew Farnsworth, et al.
PLoS ONE (2019) Vol. 14, Iss. 10, pp. e0214168-e0214168
Open Access | Times Cited: 83
Acoustic indices perform better when applied at ecologically meaningful time and frequency scales
Oliver C. Metcalf, Jos Barlow, Christian Devenish, et al.
Methods in Ecology and Evolution (2020) Vol. 12, Iss. 3, pp. 421-431
Open Access | Times Cited: 80
Application of deep learning in ecological resource research: Theories, methods, and challenges
Qinghua Guo, Shichao Jin, Min Li, et al.
Science China Earth Sciences (2020) Vol. 63, Iss. 10, pp. 1457-1474
Closed Access | Times Cited: 71
Hearing to the Unseen: AudioMoth and BirdNET as a Cheap and Easy Method for Monitoring Cryptic Bird Species
Gérard Bota, Robert Manzano‐Rubio, Lidia Catalán, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7176-7176
Open Access | Times Cited: 24
Assessing the potential of BirdNET to infer European bird communities from large-scale ecoacoustic data
David Funosas, Luc Barbaro, Laura Schillé, et al.
Ecological Indicators (2024) Vol. 164, pp. 112146-112146
Open Access | Times Cited: 17
AudioProtoPNet: An interpretable deep learning model for bird sound classification
René Heinrich, Lukas Rauch, Bernhard Sick, et al.
Ecological Informatics (2025), pp. 103081-103081
Open Access | Times Cited: 1
Two-stage models improve machine learning classifiers in wildlife research: A case study in identifying false positive detections of Ruffed Grouse
Laurence A. Clarfeld, Katherina Gieder, R. Abrams, et al.
Ecological Informatics (2025), pp. 103166-103166
Open Access | Times Cited: 1
Detecting small changes in populations at landscape scales: a bioacoustic site-occupancy framework
Connor M. Wood, Viorel D. Popescu, Holger Klinck, et al.
Ecological Indicators (2018) Vol. 98, pp. 492-507
Closed Access | Times Cited: 79
Estimating bird detection distances in sound recordings for standardizing detection ranges and distance sampling
Kevin Darras, Brett J. Furnas, Irfan Fitriawan, et al.
Methods in Ecology and Evolution (2018) Vol. 9, Iss. 9, pp. 1928-1938
Open Access | Times Cited: 74
Opportunities and challenges for big data ornithology
Frank A. La Sorte, Christopher A. Lepczyk, Jessica Burnett, et al.
Ornithological Applications (2018) Vol. 120, Iss. 2, pp. 414-426
Closed Access | Times Cited: 70
The effectiveness of acoustic indices for forest monitoring in Atlantic rainforest fragments
Felipe Carmo Jorge, Caio Graco Machado, Selene Siqueira da Cunha Nogueira, et al.
Ecological Indicators (2018) Vol. 91, pp. 71-76
Closed Access | Times Cited: 66
Sound level measurements from audio recordings provide objective distance estimates for distance sampling wildlife populations
Daniel A. Yip, Elly C. Knight, Elène Haave‐Audet, et al.
Remote Sensing in Ecology and Conservation (2019) Vol. 6, Iss. 3, pp. 301-315
Open Access | Times Cited: 61
Page 1 - Next Page

Scroll to top