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:

Bat detective—Deep learning tools for bat acoustic signal detection
Oisin Mac Aodha, Rory Gibb, Kate E. Barlow, et al.
PLoS Computational Biology (2018) Vol. 14, Iss. 3, pp. e1005995-e1005995
Open Access | Times Cited: 172

Showing 1-25 of 172 citing articles:

Applications for deep learning in ecology
Sylvain Christin, Éric Hervet, Nicolas Lecomte
Methods in Ecology and Evolution (2019) Vol. 10, Iss. 10, pp. 1632-1644
Open Access | Times Cited: 523
Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring
Rory Gibb, Ella Browning, Paul Glover‐Kapfer, et al.
Methods in Ecology and Evolution (2018) Vol. 10, Iss. 2, pp. 169-185
Open Access | Times Cited: 517
A review of the major threats and challenges to global bat conservation
Winifred F. Frick, Tigga Kingston, Jon Flanders
Annals of the New York Academy of Sciences (2019) Vol. 1469, Iss. 1, pp. 5-25
Closed Access | Times Cited: 483
Perspectives in machine learning for wildlife conservation
Devis Tuia, Benjamin Kellenberger, Sara Beery, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 403
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
Machine learning and deep learning—A review for ecologists
Maximilian Pichler, Florian Härtig
Methods in Ecology and Evolution (2023) Vol. 14, Iss. 4, pp. 994-1016
Open Access | Times Cited: 200
Computational bioacoustics with deep learning: a review and roadmap
Dan Stowell
PeerJ (2022) Vol. 10, pp. e13152-e13152
Open Access | Times Cited: 198
A review of Earth Artificial Intelligence
Ziheng Sun, L. Sandoval, Robert Crystal‐Ornelas, et al.
Computers & Geosciences (2022) Vol. 159, pp. 105034-105034
Open Access | Times Cited: 173
Deep learning as a tool for ecology and evolution
Marek L. Borowiec, Rebecca B. Dikow, Paul B. Frandsen, et al.
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 8, pp. 1640-1660
Open Access | Times Cited: 164
Possibility for reverse zoonotic transmission of SARS-CoV-2 to free-ranging wildlife: A case study of bats
Kevin J. Olival, Paul M. Cryan, Brian R. Amman, et al.
PLoS Pathogens (2020) Vol. 16, Iss. 9, pp. e1008758-e1008758
Open Access | Times Cited: 157
Towards the fully automated monitoring of ecological communities
Marc Besson, Jamie Alison, Kim Bjerge, et al.
Ecology Letters (2022) Vol. 25, Iss. 12, pp. 2753-2775
Open Access | Times Cited: 157
Sounding the Call for a Global Library of Underwater Biological Sounds
Miles Parsons, Tzu‐Hao Lin, T. Aran Mooney, et al.
Frontiers in Ecology and Evolution (2022) Vol. 10
Open Access | Times Cited: 71
A convolutional neural network for detecting sea turtles in drone imagery
Patrick Gray, Abram B. Fleishman, David J. Klein, et al.
Methods in Ecology and Evolution (2018) Vol. 10, Iss. 3, pp. 345-355
Open Access | Times Cited: 123
Technology innovation: advancing capacities for the early detection of and rapid response to invasive species
Barbara T. Martinez, Jamie K. Reaser, Alex Dehgan, et al.
Biological Invasions (2019) Vol. 22, Iss. 1, pp. 75-100
Open Access | Times Cited: 120
A translucent box: interpretable machine learning in ecology
Tim Lucas
Ecological Monographs (2020) Vol. 90, Iss. 4
Open Access | Times Cited: 120
Automated bioacoustics: methods in ecology and conservation and their potential for animal welfare monitoring
Michael P. Mcloughlin, Rebecca Stewart, Alan G. McElligott
Journal of The Royal Society Interface (2019) Vol. 16, Iss. 155, pp. 20190225-20190225
Open Access | Times Cited: 114
Machine learning in acoustics: Theory and applications
Michael J. Bianco, Peter Gerstoft, James Traer, et al.
The Journal of the Acoustical Society of America (2019) Vol. 146, Iss. 5, pp. 3590-3628
Open Access | Times Cited: 110
Responsible AI for conservation
Oliver R. Wearn, Robin Freeman, David Jacoby
Nature Machine Intelligence (2019) Vol. 1, Iss. 2, pp. 72-73
Open Access | Times Cited: 103
Deep learning for environmental conservation
Aakash Lamba, Phillip Cassey, Ramesh Raja Segaran, et al.
Current Biology (2019) Vol. 29, Iss. 19, pp. R977-R982
Open Access | Times Cited: 101
A comparison of deep learning and citizen science techniques for counting wildlife in aerial survey images
Colin J. Torney, David J. Lloyd‐Jones, Mark Chevallier, et al.
Methods in Ecology and Evolution (2019) Vol. 10, Iss. 6, pp. 779-787
Open Access | Times Cited: 100
Expanding evolutionary neuroscience: insights from comparing variation in behavior
Nicholas Jourjine, Hopi E. Hoekstra
Neuron (2021) Vol. 109, Iss. 7, pp. 1084-1099
Open Access | Times Cited: 90
Beluga whale acoustic signal classification using deep learning neural network models
Ming Zhong, Manuel Castellote, Rahul Dodhia, et al.
The Journal of the Acoustical Society of America (2020) Vol. 147, Iss. 3, pp. 1834-1841
Closed Access | Times Cited: 76
Artificial Intelligence Meets Citizen Science to Supercharge Ecological Monitoring
Eva C. McClure, Michael Sievers, Christopher J. Brown, et al.
Patterns (2020) Vol. 1, Iss. 7, pp. 100109-100109
Open Access | Times Cited: 74
A new joint species distribution model for faster and more accurate inference of species associations from big community data
Maximilian Pichler, Florian Härtig
Methods in Ecology and Evolution (2021) Vol. 12, Iss. 11, pp. 2159-2173
Open Access | Times Cited: 69
Human-machine-learning integration and task allocation in citizen science
Marisa Ponti, Alena Seredko
Humanities and Social Sciences Communications (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 56
Page 1 - Next Page

Scroll to top