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:

Comparison of machine learning methods to predict udder health status based on somatic cell counts in dairy cows
Tania Bobbo, Stefano Biffani, Cristian Taccioli, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Invited Review: Examples and opportunities for artificial intelligence (AI) in dairy farms*
Albert De Vries, Nikolay Bliznyuk, Pablo Pinedo
Applied Animal Science (2023) Vol. 39, Iss. 1, pp. 14-22
Open Access | Times Cited: 30
Performance comparison of machine learning models used for predicting subclinical mastitis in dairy cows: Bagging, boosting, stacking, and super-learner ensembles versus single machine learning models
Alicja Satoła, Krzysztof Satoła
Journal of Dairy Science (2024) Vol. 107, Iss. 6, pp. 3959-3972
Open Access | Times Cited: 11
Accurate detection of dairy cow mastitis with deep learning technology: a new and comprehensive detection method based on infrared thermal images
Y. Wang, Kang Xi, Zi He, et al.
animal (2022) Vol. 16, Iss. 10, pp. 100646-100646
Open Access | Times Cited: 33
Early detection of subclinical mastitis in lactating dairy cows using cow-level features
Arjun Pakrashi, Chris Ryan, Christophe Guéret, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 7, pp. 4978-4990
Open Access | Times Cited: 17
Health Status Classification for Cows Using Machine Learning and Data Management on AWS Cloud
Kristina Dineva, Tatiana Atanasova
Animals (2023) Vol. 13, Iss. 20, pp. 3254-3254
Open Access | Times Cited: 14
Predicting the UCS of Polyhydroxyalkanoate and Xanthan gum Treated Sandy Soil Using Gradient Boosting Algorithms
Syed Taseer Abbas Jaffar, Mudassir Iqbal, Xiaohua Bao, et al.
Journal of Cleaner Production (2025), pp. 144672-144672
Closed Access
Machine Learning Techniques Associated With Infrared Thermography to Optimize the Diagnosis of Bovine Subclinical Mastitis
Raul Costa Mascarenhas Santana, E. da S. Guimaraes, Fernando David Caracuschanski, et al.
Veterinary Medicine International (2025) Vol. 2025, Iss. 1
Open Access
Combining Environmental Variables and Machine Learning Methods to Determine the Most Significant Factors Influencing Honey Production
Johanna Ramírez-Díaz, Arianna Manunza, Tiago Almeida de Oliveira, et al.
Insects (2025) Vol. 16, Iss. 3, pp. 278-278
Open Access
Effects of Somatic Cell Score on Milk Traits in Polish Holstein‐Friesian Cows
Alicja Satoła
Animal Science Journal (2025) Vol. 96, Iss. 1
Closed Access
Machine learning-derived cumulative health measure for assessing disease impact in dairy cattle
Afef Marzougui, Craig S. McConnel, Amber Adams‐Progar, et al.
Frontiers in Animal Science (2025) Vol. 6
Open Access
Exploiting machine learning methods with monthly routine milk recording data and climatic information to predict subclinical mastitis in Italian Mediterranean buffaloes
Tania Bobbo, Roberta Matera, G. Pedota, et al.
Journal of Dairy Science (2022) Vol. 106, Iss. 3, pp. 1942-1952
Open Access | Times Cited: 16
Decoding Bovine Behavior: A Machine Learning Analysis of Disease and Event Detection
Ghalib Nadeem, Zubair Zubair, Shahrukh Ali, et al.
Deleted Journal (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 3
Delineating Mastitis Cases in Dairy Cows: Development of an IoT-Enabled Intelligent Decision Support System for Dairy Farms
Mohammad Farhan Khan, V.M. Thorup, Zhenhua Luo
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 7, pp. 9508-9517
Open Access | Times Cited: 3
Sustainability in Irrigation Practices Through 5G Optimization of Water Resources
Haider Khalil Easa, Majid Ali, Ahmed Isam Al-Hatem, et al.
(2024), pp. 201-210
Closed Access | Times Cited: 2
Assessment of Published Papers on the Use of Machine Learning in Diagnosis and Treatment of Mastitis
Maria V. Bourganou, Yiannis Kiouvrekis, Dimitrios Chatzopoulos, et al.
Information (2024) Vol. 15, Iss. 8, pp. 428-428
Open Access | Times Cited: 2
Genomic and Phenotypic Udder Evaluation for Dairy Cattle Selection: A Review
Miguel A. Gutiérrez-Reinoso, Pedro M. Aponte, Manuel García‐Herreros
Animals (2023) Vol. 13, Iss. 10, pp. 1588-1588
Open Access | Times Cited: 6
Mastitis Control and Intramammary Antimicrobial Stewardship in Ireland: Challenges and Opportunities
Simon J. More, Catherine I. McAloon, P. Silva Boloña, et al.
Frontiers in Veterinary Science (2022) Vol. 9
Open Access | Times Cited: 10
A Literature Review of Modeling Approaches Applied to Data Collected in Automatic Milking Systems
Laura Ozella, Karina Brotto Rebuli, Claudio Forte, et al.
Animals (2023) Vol. 13, Iss. 12, pp. 1916-1916
Open Access | Times Cited: 6
Relationship between total and differential quarter somatic cell counts at dry-off and early lactation
Aldo Dal Prà, Filippo Biscarini, Gian Luca Cavani, et al.
PLoS ONE (2022) Vol. 17, Iss. 10, pp. e0275755-e0275755
Open Access | Times Cited: 9
Machine Learning Algorithms Highlight tRNA Information Content and Chargaff’s Second Parity Rule Score as Important Features in Discriminating Probiotics from Non-Probiotics
Carlo M. Bergamini, Nicoletta Bianchi, Valério Giaccone, et al.
Biology (2022) Vol. 11, Iss. 7, pp. 1024-1024
Open Access | Times Cited: 8
A study on the development and the application strategy of FT-MIRS-based models for the diagnosis of subclinical mastitis and milk quality classification in buffaloes
Chu Chu, Lei Ding, Xiaoli Ren, et al.
Microchemical Journal (2024) Vol. 200, pp. 110256-110256
Closed Access | Times Cited: 1
Smart livestock management: integrating IoT for cattle health diagnosis and disease prediction through machine learning
Satyaprakash Swain, Binod Kumar Pattnayak, Mihir Narayan Mohanty, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 34, Iss. 2, pp. 1192-1192
Open Access | Times Cited: 1
Revealing microbial diversity in buffalo milk with high somatic cell counts: implications for mastitis diagnosis and treatment
Hancai Jiang, Jiayin Xu, Xiaoxian Xu, et al.
Veterinary Research Communications (2024) Vol. 48, Iss. 4, pp. 2537-2553
Closed Access | Times Cited: 1
Recent advances in decision support for beef and dairy farming: modeling approaches and opportunities
Rasmus Noss Bang, Mario Guajardo, Bjørn Gunnar Hansen
International Transactions in Operational Research (2023) Vol. 30, Iss. 6, pp. 2807-2839
Open Access | Times Cited: 3
Division of Cow Production Groups Based on SOLOv2 and Improved CNN-LSTM
Guanying Cui, Lulu Qiao, Yuhua Li, et al.
Agriculture (2023) Vol. 13, Iss. 8, pp. 1562-1562
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top