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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 chicken distress vocalizations using deep learning models
Axiu Mao, Claire Giraudet, Kai Liu, et al.
Journal of The Royal Society Interface (2022) Vol. 19, Iss. 191
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Deep learning-based animal activity recognition with wearable sensors: Overview, challenges, and future directions
Axiu Mao, Endai Huang, Xiaoshuai Wang, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108043-108043
Closed Access | Times Cited: 41
Precision Livestock Farming Research: A Global Scientometric Review
Bing Jiang, Wenjie Tang, Lihang Cui, et al.
Animals (2023) Vol. 13, Iss. 13, pp. 2096-2096
Open Access | Times Cited: 32
Edge intelligence for poultry welfare: Utilizing tiny machine learning neural network processors for vocalization analysis
Ramasamy Srinivasagan, M. Sayed, Mohammed Al-Rasheed, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0316920-e0316920
Open Access | Times Cited: 1
AUTOMATED DETECTION OF BROILER VOCALIZATIONS A Machine Learning Approach for Broiler Chicken Vocalization Monitoring
Patricia Soster, Tomasz Grzywalski, Yuanbo Hou, et al.
Poultry Science (2025), pp. 104962-104962
Open Access | Times Cited: 1
Humans can identify reward-related call types of chickens
Nicky McGrath, Clive J. C. Phillips, Oliver H. P. Burman, et al.
Royal Society Open Science (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5
Adapting a Large-Scale Transformer Model to Decode Chicken Vocalizations: A Non-Invasive AI Approach to Poultry Welfare
Suresh Neethirajan
AI (2025) Vol. 6, Iss. 4, pp. 65-65
Open Access
Transformer-based audio-visual multimodal fusion for fine-grained recognition of individual sow nursing behaviour
Yuqing Yang, Chengguo Xu, Wenhao Hou, et al.
Artificial Intelligence in Agriculture (2025)
Open Access
Attention-based recurrent neural network for automatic behavior laying hen recognition
Fréjus A. A. Laleye, Mikaël A. Mousse
Multimedia Tools and Applications (2024) Vol. 83, Iss. 22, pp. 62443-62458
Closed Access | Times Cited: 3
Automatic detection for bioacoustic research: a practical guide from and for biologists and computer scientists
Arik Kershenbaum, Çağlar Akçay, Lakshmi Babu Saheer, et al.
Biological reviews/Biological reviews of the Cambridge Philosophical Society (2024)
Open Access | Times Cited: 2
Acoustic Monitoring of Professionally Managed Marine Mammals for Health and Welfare Insights
Kelley A. Winship, Brittany L. Jones
Animals (2023) Vol. 13, Iss. 13, pp. 2124-2124
Open Access | Times Cited: 6
Vocalization Patterns in Laying Hens - An Analysis of Stress-Induced Audio Responses
Suresh Neethirajan
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Who is calling? Optimizing source identification from marmoset vocalizations with hierarchical machine learning classifiers
Nikhil Phaniraj, Kaja Wierucka, Yvonne Zürcher, et al.
Journal of The Royal Society Interface (2023) Vol. 20, Iss. 207
Open Access | Times Cited: 4
Decoding the Language of Chickens - An Innovative NLP Approach to Enhance Poultry Welfare
Suresh Neethirajan
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Mathematical Formulation of Deep Learning Model for Poultry Disease Classification using EfficientNet- B3 CNN Model
Ajay G. Barsagade
Deleted Journal (2024) Vol. 31, Iss. 2s, pp. 470-484
Open Access | Times Cited: 1
Deep Learning-Based Poultry Health Diagnosis: Detecting Abnormal Feces and Analyzing Vocalizations
Rui-Yi Xu, Chung‐Liang Chang
(2024), pp. 55-57
Closed Access | Times Cited: 1
Do I sound anxious? Emotional arousal is linked to changes in vocalisations in domestic chicks (Gallus gallus dom.)
Sarah A. Collins, Katherine A. Herborn, Kenneth J. Sufka, et al.
Applied Animal Behaviour Science (2024) Vol. 277, pp. 106359-106359
Closed Access | Times Cited: 1
Gender identification of chicks using vocalisation signals, artificial intelligence and machine learning techniques: current status and future prospects
A. Kannan, Joyanta Basu, Rajib Roy, et al.
World s Poultry Science Journal (2024), pp. 1-16
Closed Access | Times Cited: 1
Integrating new technologies to broaden the scope of northern spotted owl monitoring and linkage with USDA forest inventory data
Damon B. Lesmeister, Julianna M. A. Jenkins
Frontiers in Forests and Global Change (2022) Vol. 5
Open Access | Times Cited: 6
Scoping Review of Machine Learning and Deep Learning Algorithm Applications in Veterinary Clinics: Situation Analysis and Suggestions for Further Studies
Kyung‐Duk Min
Journal of Veterinary Clinics (2023) Vol. 40, Iss. 4, pp. 243-259
Open Access | Times Cited: 2
Optimising source identification from marmoset vocalisations with hierarchical machine learning classifiers
Nikhil Phaniraj, Kaja Wierucka, Yvonne Zürcher, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
Using a Neural Network based Vocalization Detector for Broiler Welfare Monitoring
Pieter Thomas, Tomasz Grzywalski, Ying Hou, et al.
(2024), pp. 6269-6276
Open Access
Automated Classification of Collateral Circulation for Ischemic Stroke in Cone-Beam CT Images Using VGG11: A Deep Learning Approach
Nur Hasanah Ali, Abdul Rahim Abdullah, Norhashimah Mohd Saad, et al.
BioMedInformatics (2024) Vol. 4, Iss. 3, pp. 1692-1702
Open Access
Latest Trend and Challenges in Machine Learning– and Deep Learning–Based Computational Techniques in Poultry Health and Disease Management: A Review
V. Shwetha, B S Maddodi, Vijaya Laxmi, et al.
Journal of Computer Networks and Communications (2024) Vol. 2024, Iss. 1
Open Access
Deciphering Distress: Stress Detection in White Leghorn Birds Through Vocalization Analysis
Joyanta Basu, Rajib Roy, Madhab Pal, et al.
(2024), pp. 605-617
Closed Access
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