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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.

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Showing 1-25 of 76 citing articles:

Machine Learning Applications for Precision Agriculture: A Comprehensive Review
Abhinav Sharma, Arpit Jain, Prateek Gupta, et al.
IEEE Access (2020) Vol. 9, pp. 4843-4873
Open Access | Times Cited: 649
Invited review: Milk lactose—Current status and future challenges in dairy cattle
Angela Costa, N. López‐Villalobos, NW Sneddon, et al.
Journal of Dairy Science (2019) Vol. 102, Iss. 7, pp. 5883-5898
Open Access | Times Cited: 160
Comprehensive analysis of machine learning models for prediction of sub-clinical mastitis: Deep Learning and Gradient-Boosted Trees outperform other models
Mansour Ebrahimi, Manijeh Mohammadi‐Dehcheshmeh, Esmaeil Ebrahimie, et al.
Computers in Biology and Medicine (2019) Vol. 114, pp. 103456-103456
Closed Access | Times Cited: 129
Methods for Diagnosing Mastitis
Pamela R. F. Adkins, John R. Middleton
Veterinary Clinics of North America Food Animal Practice (2018) Vol. 34, Iss. 3, pp. 479-491
Closed Access | Times Cited: 123
Mastitis in Dairy Cattle: On-Farm Diagnostics and Future Perspectives
Chiara Tommasoni, Enrico Fiore, Anastasia Lisuzzo, et al.
Animals (2023) Vol. 13, Iss. 15, pp. 2538-2538
Open Access | Times Cited: 32
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
Automated prediction of mastitis infection patterns in dairy herds using machine learning
Robert Hyde, Peter Down, Andrew Bradley, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 67
Application of machine learning to improve dairy farm management: A systematic literature review
Naftali Slob, Cagatay Catal, Ayalew Kassahun
Preventive Veterinary Medicine (2020) Vol. 187, pp. 105237-105237
Open Access | Times Cited: 52
Milk somatic cell count and its relationship with milk yield and quality traits in Italian water buffaloes
Angela Costa, Gianluca Neglia, Giuseppe Campanile, et al.
Journal of Dairy Science (2020) Vol. 103, Iss. 6, pp. 5485-5494
Open Access | Times Cited: 50
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
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
Genetic associations of lactose and its ratios to other milk solids with health traits in Austrian Fleckvieh cows
Angela Costa, C. Egger-Danner, Gábor Mészáros, et al.
Journal of Dairy Science (2019) Vol. 102, Iss. 5, pp. 4238-4248
Open Access | Times Cited: 47
Inline Milk Lactose Concentration as Biomarker of the Health Status and Reproductive Success in Dairy Cows
Mindaugas Televičius, Vida Juozaitienė, Dovilė Malašauskienė, et al.
Agriculture (2021) Vol. 11, Iss. 1, pp. 38-38
Open Access | Times Cited: 28
Regulatory Role of microRNA of Milk Exosomes in Mastitis of Dairy Cows
Bruno Stefanon, Michela Cintio, Sandy Sgorlon, et al.
Animals (2023) Vol. 13, Iss. 5, pp. 821-821
Open Access | Times Cited: 12
Linking Animal Feed Formulation to Milk Quantity, Quality, and Animal Health Through Data-Driven Decision-Making
Oreofeoluwa A. Akintan, K. G. Gebremedhin, Daniel Dooyum Uyeh
Animals (2025) Vol. 15, Iss. 2, pp. 162-162
Open 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
A novel approach to finding the compositional differences and biomarkers in gut microbiota in type 2 diabetic patients via meta-analysis, data-mining, and multivariate analysis
Faezeh Ebrahimi, Hadi Maleki, Mansour Ebrahimi, et al.
Endocrinología Diabetes y Nutrición (2025), pp. 501561-501561
Closed 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
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
Milk phenomics: leveraging biological bonds with blood and infrared technologies for evaluating animal nutritional and health status
Diana Giannuzzi, Chiara Evangelista, Angela Costa, et al.
Italian Journal of Animal Science (2024) Vol. 23, Iss. 1, pp. 780-801
Open Access | Times Cited: 3
Unified Transcriptomic Signature of Arbuscular Mycorrhiza Colonization in Roots of Medicago truncatula by Integration of Machine Learning, Promoter Analysis, and Direct Merging Meta-Analysis
Manijeh Mohammadi‐Dehcheshmeh, Ali Niazi‎, Mansour Ebrahimi, et al.
Frontiers in Plant Science (2018) Vol. 9
Open Access | Times Cited: 29
Bidimensional and Tridimensional Poincaré Maps in Cardiology: A Multiclass Machine Learning Study
Leandro Donisi, Carlo Ricciardi, Giuseppe Cesarelli, et al.
Electronics (2022) Vol. 11, Iss. 3, pp. 448-448
Open Access | Times Cited: 14
Transcriptome-wide mapping of milk somatic cells upon subclinical mastitis infection in dairy cattle
Vittoria Bisutti, Núria Mach, Diana Giannuzzi, et al.
Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 8
On the genomic regions associated with milk lactose in Fleckvieh cattle
Angela Costa, Hermann Schwarzenbacher, Gábor Mészáros, et al.
Journal of Dairy Science (2019) Vol. 102, Iss. 11, pp. 10088-10099
Open Access | Times Cited: 24
Long-Term Calorie Restriction Alters Anxiety-like Behaviour and the Brain and Adrenal Gland Transcriptomes of the Ageing Male Rat
Antonina Govic, Helen Nasser, Elizabeth A. Levay, et al.
Nutrients (2022) Vol. 14, Iss. 21, pp. 4670-4670
Open Access | Times Cited: 13
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