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:
Optimized Deep-Learning-Based Method for Cattle Udder Traits Classification
Hina Afridi, Mohib Ullah, Øyvind Nordbø, et al.
Mathematics (2022) Vol. 10, Iss. 17, pp. 3097-3097
Open Access | Times Cited: 14
Hina Afridi, Mohib Ullah, Øyvind Nordbø, et al.
Mathematics (2022) Vol. 10, Iss. 17, pp. 3097-3097
Open Access | Times Cited: 14
Showing 14 citing articles:
Performance evaluation of machine vision techniques for dairyness based upon the morphological traits
Naresh Kumar Dahiya, Vivek Jaglan, Shalini Bhaskar Bajaj, et al.
AIP conference proceedings (2025) Vol. 3227, pp. 050017-050017
Closed Access
Naresh Kumar Dahiya, Vivek Jaglan, Shalini Bhaskar Bajaj, et al.
AIP conference proceedings (2025) Vol. 3227, pp. 050017-050017
Closed Access
Review: Genomic selection in the era of phenotyping based on digital images
A. H. M. Muntasir Billah, Matias Bermann, Mary Kate Hollifield, et al.
animal (2025), pp. 101486-101486
Open Access
A. H. M. Muntasir Billah, Matias Bermann, Mary Kate Hollifield, et al.
animal (2025), pp. 101486-101486
Open Access
Deep learning for lameness level detection in dairy cows
Shahid Ismail, Moises Díaz, Miguel A. Ferrer
Engineering Applications of Artificial Intelligence (2025) Vol. 151, pp. 110611-110611
Closed Access
Shahid Ismail, Moises Díaz, Miguel A. Ferrer
Engineering Applications of Artificial Intelligence (2025) Vol. 151, pp. 110611-110611
Closed Access
Is Deep Learning useful for decision making in pig production?
Yun Bao, Pol Llagostera, Lluís M. Plà‐Aragonès
Internet of Things (2024) Vol. 26, pp. 101229-101229
Open Access | Times Cited: 2
Yun Bao, Pol Llagostera, Lluís M. Plà‐Aragonès
Internet of Things (2024) Vol. 26, pp. 101229-101229
Open Access | Times Cited: 2
Tracking-by-Self Detection: A Self-supervised Framework for Multiple Animal Tracking
Chaya Narayan, Fayaz Rahman, Mohib Ullah, et al.
IFIP advances in information and communication technology (2023), pp. 561-572
Closed Access | Times Cited: 4
Chaya Narayan, Fayaz Rahman, Mohib Ullah, et al.
IFIP advances in information and communication technology (2023), pp. 561-572
Closed Access | Times Cited: 4
Self-supervised Animal Detection in Indoor Environment
Taifour Yousra, Hina Afridi, Adane Nega Tarekegn, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4
Taifour Yousra, Hina Afridi, Adane Nega Tarekegn, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4
Metadata augmented deep neural networks for wild animal classification
Aslak Tøn, Ammar Ahmed, Ali Shariq Imran, et al.
Ecological Informatics (2024) Vol. 83, pp. 102805-102805
Open Access | Times Cited: 1
Aslak Tøn, Ammar Ahmed, Ali Shariq Imran, et al.
Ecological Informatics (2024) Vol. 83, pp. 102805-102805
Open Access | Times Cited: 1
Deep learning–based automated measurements of the scrotal circumference of Norwegian Red bulls from 3D images
Joanna Bremer, Michał Maj, Øyvind Nordbø, et al.
Smart Agricultural Technology (2022) Vol. 3, pp. 100133-100133
Open Access | Times Cited: 3
Joanna Bremer, Michał Maj, Øyvind Nordbø, et al.
Smart Agricultural Technology (2022) Vol. 3, pp. 100133-100133
Open Access | Times Cited: 3
A computer algorithm for scoring cow teats based on udder images
Chong Sheng Chuah, Øyvind Nordbø, Harvey Ho
New Zealand Journal of Agricultural Research (2024), pp. 1-11
Open Access
Chong Sheng Chuah, Øyvind Nordbø, Harvey Ho
New Zealand Journal of Agricultural Research (2024), pp. 1-11
Open Access
Leveraging Transfer Learning for Analyzing Cattle Front Teat Placement
Hina Afridi, Mohib Ullah, Øyvind Nordbø, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
Hina Afridi, Mohib Ullah, Øyvind Nordbø, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
Wild Animal Species Classification from Camera Traps Using Metadata Analysis
Aslak Tøn, Ali Shariq Imran, Mohib Ullah
(2023), pp. 1-6
Closed Access | Times Cited: 1
Aslak Tøn, Ali Shariq Imran, Mohib Ullah
(2023), pp. 1-6
Closed Access | Times Cited: 1
CTL-NET: Deep Learning Network for Cattle Teat Length Trait Analysis
Hina Afridi, Mohib Ullah, Øyvind Nordbø, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
Hina Afridi, Mohib Ullah, Øyvind Nordbø, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
Identifying the Most Important Linear Body Depth Traits Associated with Milk Yield in Dairy Cattle
Sigid Prabowo, Mustafa Garip
Revista de Ciências Agroveterinárias (2023) Vol. 22, Iss. 3, pp. 453-462
Open Access
Sigid Prabowo, Mustafa Garip
Revista de Ciências Agroveterinárias (2023) Vol. 22, Iss. 3, pp. 453-462
Open Access
Exploring Unseen Characteristics of Artificial Neural Networks for Improving Front Teat Placement Trait
Hina Afridi, Mohib Ullah, Øyvind Nordbø, et al.
(2023), pp. 226-231
Closed Access
Hina Afridi, Mohib Ullah, Øyvind Nordbø, et al.
(2023), pp. 226-231
Closed Access
