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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:

Feature embeddings from the BirdNET algorithm provide insights into avian ecology
Kate McGinn, Stefan Kahl, M. Zachariah Peery, et al.
Ecological Informatics (2023) Vol. 74, pp. 101995-101995
Closed Access | Times Cited: 24

Showing 24 citing articles:

Guidelines for appropriate use of BirdNET scores and other detector outputs
Connor M. Wood, Stefan Kahl
Journal of Ornithology (2024) Vol. 165, Iss. 3, pp. 777-782
Closed Access | Times Cited: 30
Global birdsong embeddings enable superior transfer learning for bioacoustic classification
Burooj Ghani, Tom Denton, Stefan Kahl, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 37
Aggregated time‐series features boost species‐specific differentiation of true and false positives in passive acoustic monitoring of bird assemblages
D. Singer, Jonas Hagge, Johannes Kamp, et al.
Remote Sensing in Ecology and Conservation (2024) Vol. 10, Iss. 4, pp. 517-530
Open Access | Times Cited: 10
The Acoustic Index User's Guide: A practical manual for defining, generating and understanding current and future acoustic indices
Tom Bradfer‐Lawrence, Brad Duthie, Carlos Abrahams, et al.
Methods in Ecology and Evolution (2024)
Open Access | Times Cited: 10
Leveraging transfer learning and active learning for data annotation in passive acoustic monitoring of wildlife
Hannes Kath, Patrícia Pereira Serafini, Ivan Braga Campos, et al.
Ecological Informatics (2024) Vol. 82, pp. 102710-102710
Open Access | Times Cited: 8
Mel-frequency cepstral coefficients outperform embeddings from pre-trained convolutional neural networks under noisy conditions for discrimination tasks of individual gibbons
Mohamed Walid Lakdari, Abdul Hamid Ahmad, Sarab S. Sethi, et al.
Ecological Informatics (2024) Vol. 80, pp. 102457-102457
Open Access | Times Cited: 6
Pairing a user‐friendly machine‐learning animal sound detector with passive acoustic surveys for occupancy modeling of an endangered primate
Connor M. Wood, Alicia Barceinas Cruz, Stefan Kahl
American Journal of Primatology (2023) Vol. 85, Iss. 8
Closed Access | Times Cited: 16
Estimating population size for California spotted owls and barred owls across the Sierra Nevada ecosystem with bioacoustics
Kevin G. Kelly, Connor M. Wood, Kate McGinn, et al.
Ecological Indicators (2023) Vol. 154, pp. 110851-110851
Open Access | Times Cited: 13
Improved analysis of deep bioacoustic embeddings through dimensionality reduction and interactive visualisation
Francisco J. Bravo Sanchez, Nathan B. English, Md Rahat Hossain, et al.
Ecological Informatics (2024) Vol. 81, pp. 102593-102593
Open Access | Times Cited: 5
Revealing forest structural "fingerprints": An integration of LiDAR and deep learning uncovers topographical influences on Central Amazon forests
Nathan Gonçalves, Diogo Martins Rosa, Dalton Freitas do Valle, et al.
Ecological Informatics (2024) Vol. 81, pp. 102628-102628
Open Access | Times Cited: 4
Acoustic fingerprints in nature: A self-supervised learning approach for ecosystem activity monitoring
Darío Demattíes, Samir Rajani, Rajesh Sankaran, et al.
Ecological Informatics (2024) Vol. 83, pp. 102823-102823
Open Access | Times Cited: 4
The use of BirdNET embeddings as a fast solution to find novel sound classes in audio recordings
Slade Allen‐Ankins, Sebastian Hoefer, Jacopo Bartholomew, et al.
Frontiers in Ecology and Evolution (2025) Vol. 12
Open Access
HawkEars: A regional, high-performance avian acoustic classifier
Jan Huus, Kevin G. Kelly, Erin M. Bayne, et al.
Ecological Informatics (2025), pp. 103122-103122
Open Access
NDVI and vegetation volume as predictors of urban bird diversity
Andrew Fairbairn, Sophia Katholnigg, Tobias Leichtle, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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
The bioacoustic soundscape of a pandemic: Continuous annual monitoring using a deep learning system in Agmon Hula Lake Park
Yizhar Lavner, Ronen Melamed, Moshe Bashan, et al.
Ecological Informatics (2024) Vol. 80, pp. 102528-102528
Open Access | Times Cited: 3
Evaluating the predictors of habitat use and successful reproduction in a model bird species using a large‐scale automated acoustic array
Lauren M. Chronister, Jeffery T. Larkin, Tessa A. Rhinehart, et al.
Ecography (2024)
Open Access | Times Cited: 2
Advanced montane bird monitoring using self-supervised learning and transformer on passive acoustic data
Yucheng Wei, Wei‐Lun Chen, Mao‐Ning Tuanmu, et al.
Ecological Informatics (2024), pp. 102927-102927
Open Access | Times Cited: 1
Using the BirdNET algorithm to identify wolves, coyotes, and potentially their interactions in a large audio dataset
Daniel A. Sossover, Kelsey Burrows, Stefan Kahl, et al.
Mammal Research (2023) Vol. 69, Iss. 1, pp. 159-165
Closed Access | Times Cited: 3
Correlation Clustering of Bird Sounds
David Stein, Bjoern Andres
Lecture notes in computer science (2024), pp. 508-523
Closed Access
Meta-Embedded Clustering (Mec): A New Method for Improving Clustering Quality in Unlabeled Bird Sound Datasets
Joachim POUTARAUD, Jérôme Sueur, Christophe Thébaud, et al.
(2024)
Closed Access
Meta-Embedded Clustering (MEC): A new method for improving clustering quality in unlabeled bird sound datasets
Joachim POUTARAUD, Jérôme Sueur, Christophe Thébaud, et al.
Ecological Informatics (2024) Vol. 82, pp. 102687-102687
Open Access
BAT-CNN: BirdNet Assisted Training for CNN
Silvia Salini, K. Suresh
(2024), pp. 1-5
Closed Access
Interpretable and Robust Machine Learning for Exploring and Classifying Soundscape Data
Arpit Omprakash, Rohini Balakrishnan, Robert M. Ewers, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Global birdsong embeddings enable superior transfer learning for bioacoustic classification
Burooj Ghani, Tom Denton, Stefan Kahl, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
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