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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:

Towards Early Poultry Health Prediction through Non-Invasive and Computer Vision-Based Dropping Classification
Arnas Nakrošis, Agnė Paulauskaitė-Tarasevičienė, Vidas Raudonis, et al.
Animals (2023) Vol. 13, Iss. 19, pp. 3041-3041
Open Access | Times Cited: 12

Showing 12 citing articles:

Leveraging the potential of convolutional neural networks in poultry farming: a 5-year overview
Sandra Nicole Umurungi, Jean de Dieu Marcel Ufitikirezi, Tomáš Zoubek, et al.
World s Poultry Science Journal (2025), pp. 1-32
Closed Access
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
Computer Vision-Based cybernetics systems for promoting modern poultry Farming: A critical review
Xiao Yang, Ramesh Bahadur Bist, Bidur Paneru, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109339-109339
Closed Access | Times Cited: 4
An efficient segmentation model for abnormal chicken droppings recognition based on improved deep dual-resolution network
Pengguang He, Rui Wu, Da Liu, et al.
Journal of Animal Science (2024) Vol. 102
Closed Access | Times Cited: 3
Physical and Chemical Characteristics of Droppings as Sensitive Markers of Chicken Health Status
Erika Mozūrienė, Ernestas Mockus, Dovilė Klupšaitė, et al.
Animals (2024) Vol. 14, Iss. 9, pp. 1389-1389
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
Optimizing poultry audio signal classification with deep learning and burn layer fusion
Esraa Hassan, Samar Elbedwehy, Mahmoud Y. Shams, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
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
Non-Intrusive Detection of Poultry Diseases through Faecal Analysis using Deep Learning
Ninad Deo, Aagam Bakliwal, Amit Joshi, et al.
(2024), pp. 1-6
Closed Access
Poultry Pathogen Detection: Using Deep Learning for Coccidiosis Identification
S Harshitha, Kolisetty Likhitha, Katta R G Varshini, et al.
(2024) Vol. 10, pp. 178-182
Closed Access
Poultry Disease Identification In Fecal Images Using Vision Transformer
Jayavrinda Vrindavanam, Pradeep Kumar, Gaurav Kamath, et al.
(2023)
Open Access | Times Cited: 1
Automating Poultry Disease Detection using Deep Learning
S. Iwin Thanakumar Joseph
Journal of Soft Computing Paradigm (2023) Vol. 5, Iss. 4, pp. 378-389
Open Access
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