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:

Novel ways to use sensor data to improve mastitis management
H. Hogeveen, Ilka Christine Klaas, Gunnar Dalen, et al.
Journal of Dairy Science (2021) Vol. 104, Iss. 10, pp. 11317-11332
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

The Prediction of Clinical Mastitis in Dairy Cows Based on Milk Yield, Rumination Time, and Milk Electrical Conductivity Using Machine Learning Algorithms
Hong Tian, Xiaojing Zhou, Hao Wang, et al.
Animals (2024) Vol. 14, Iss. 3, pp. 427-427
Open Access | Times Cited: 12
Infrared Thermography as a Diagnostic Tool for the Assessment of Mastitis in Dairy Ruminants
Vera Korelidou, Panagiotis Simitzis, Theofilos Massouras, et al.
Animals (2024) Vol. 14, Iss. 18, pp. 2691-2691
Open Access | Times Cited: 5
Relationship Between Subclinical Mastitis Occurrence and Pathogen Prevalence in Two Different Automatic Milking Systems
Karise Fernanda Nogara, Marcos Busanello, Maity Zopollatto
Animals (2025) Vol. 15, Iss. 6, pp. 776-776
Open Access
Sensitivity and Specificity for the Detection of Clinical Mastitis by Automatic Milking Systems in Bavarian Dairy Herds
Mathias Bausewein, R. Mansfeld, Marcus G. Doherr, et al.
Animals (2022) Vol. 12, Iss. 16, pp. 2131-2131
Open Access | Times Cited: 16
Nanotechnology and E-Sensing for Food Chain Quality and Safety
Elisabetta Poeta, Aris Liboà, Simone Mistrali, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8429-8429
Open Access | Times Cited: 10
Multivariable time series classification for clinical mastitis detection and prediction in automated milking systems
Xinxin Fan, R.D. Watters, D.V. Nydam, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 5, pp. 3448-3464
Open Access | Times Cited: 8
Scientific Productions on Precision Livestock Farming: An Overview of the Evolution and Current State of Research Based on a Bibliometric Analysis
Rosanna Marino, F. Petrera, F. Abeni
Animals (2023) Vol. 13, Iss. 14, pp. 2280-2280
Open Access | Times Cited: 8
Current Trends in Artificial Intelligence and Bovine Mastitis Research: A Bibliometric Review Approach
Thatiane Mendes Mitsunaga, Breno Luís Nery Garcia, Ligia Beatriz Rizzanti Pereira, et al.
Animals (2024) Vol. 14, Iss. 14, pp. 2023-2023
Open Access | Times Cited: 2
Geographical trends for automatic milking systems research in non-pasture-based dairy farms: A scoping review
Thaisa Campos Marques, C.F.A. Lage, D.R. Bruno, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 11, pp. 7725-7736
Open Access | Times Cited: 4
Comparison of Mechanized and Automated Technologies in the Scope of Cumulative Energy in Sustainable Milk Production
Kamila Mazur, J. Barwicki, Vitalii Tseiko
Sustainability (2024) Vol. 16, Iss. 2, pp. 906-906
Open Access | Times Cited: 1
Association between automatic milking system parameters and intramammary infections in dairy cows at dry-off
Jonathan Ongom, Hedmon Okella, Fernanda C. Ferreira, et al.
Frontiers in Animal Science (2024) Vol. 5
Open Access | Times Cited: 1
Sensor data cleaning for applications in dairy herd management and breeding
Katharina Schodl, Anna H. Stygar, Franz Steininger, et al.
Frontiers in Animal Science (2024) Vol. 5
Open Access | Times Cited: 1
Comprehensive genetic analysis and predictive evaluation of milk electrical conductivity for subclinical mastitis in Chinese Holstein cows
Xubin Lu, Mingxue Long, Zhijian Zhu, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
The Relationship between Reticuloruminal Temperature, Reticuloruminal pH, Cow Activity, and Clinical Mastitis in Dairy Cows
Ramūnas Antanaitis, Lina Anskienė, Giedrius Palubinskas, et al.
Animals (2023) Vol. 13, Iss. 13, pp. 2134-2134
Open Access | Times Cited: 3
Evaluation of reticuloruminal temperature for the prediction of clinical mastitis in dairy cows challenged with Streptococcus uberis
Zelmar Rodriguez, Quinn K. Kolar, K.C. Krogstad, et al.
Journal of Dairy Science (2022) Vol. 106, Iss. 2, pp. 1360-1369
Open Access | Times Cited: 4
Socio-environmental systems in technology adoption in animal husbandry in South-East Asia: A framework synthesis approach
Ibnu Budiman, Annemarie Wagemakers, Marjolein Derks, et al.
NJAS Impact in Agricultural and Life Sciences (2024) Vol. 96, Iss. 1
Open Access
A scientifically-based approach to the prevention and treatment of cow mastitis with complex immunotropic drugs
В. Г. Семенов, Vladimir G. Tyurin, Ф. А. Мусаев, et al.
Agrarian science (2024), Iss. 5, pp. 39-45
Open Access
Overview of Bovine Mastitis: Application of Metabolomics in Screening Its Predictive and Diagnostic Biomarkers
Muyang Li, Z.H. Li, Ming Deng, et al.
Animals (2024) Vol. 14, Iss. 15, pp. 2264-2264
Open Access
A Comprehensive Review on Genomic Insights and Advanced Technologies for Mastitis Prevention in Dairy Animals
Manjit Panigrahi, Divya Rajawat, Sonali Sonejita Nayak, et al.
Microbial Pathogenesis (2024), pp. 107233-107233
Closed Access
The Use of Reticuloruminal Temperature, Reticuloruminal pH, and Cow Activity To Predict Clinical Mastitis in Dairy Cows
Ramūnas Antanaitis, Lina Anskienė, Giedrius Palubinskas, et al.
(2023)
Open Access | Times Cited: 1
Microbiology, MALDI-TOF, Microbiome and more: How to understand and use diagnostic tests to improve udder health
P.L. Ruegg
American Association of Bovine Practitioners Conference Proceedings (2023), Iss. 55, pp. 52-60
Open Access | Times Cited: 1
In-Line Detection of Clinical Mastitis by Identifying Clots in Milk Using Images and a Neural Network Approach
Glenn Van Steenkiste, Igor Van Den Brulle, Sofie Piepers, et al.
Animals (2023) Vol. 13, Iss. 24, pp. 3783-3783
Open Access | Times Cited: 1
Biosensor-based approach to detect bovine mastitis
Joydip Mukherjee, Kalyan De, Pradip Kumar Das, et al.
Indian Journal of Animal Health (2023) Vol. online
Open Access | Times Cited: 1
Health and welfare monitoring of dairy cows
Toby Mottram, Ingrid den Uijl
Elsevier eBooks (2022), pp. 113-142
Closed Access | Times Cited: 1
The Window of Diagnostic Techniques for Bovine Mastitis
Muhammad Irfan Said, Amjad Hussain Mirani, Abdul Kabir, et al.
Research Journal for Veterinary Practitioners (2022) Vol. 10, Iss. 3
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top