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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:

Application of machine-learning methods to milk mid-infrared spectra for discrimination of cow milk from pasture or total mixed ration diets
Maria Frizzarin, Tom F. O’Callaghan, Thomas Brendan Murphy, et al.
Journal of Dairy Science (2021) Vol. 104, Iss. 12, pp. 12394-12402
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

A comprehensive review of machine learning and its application to dairy products
Paulina Freire, Diego Alencar Freire, Carmen C. Licón
Critical Reviews in Food Science and Nutrition (2024), pp. 1-16
Closed Access | Times Cited: 15
Raman spectroscopy and fusion machine learning algorithm: A novel approach to identify dairy fraud
Zikang Feng, Dou Liu, Junyan Gu, et al.
Journal of Food Composition and Analysis (2024) Vol. 129, pp. 106090-106090
Closed Access | Times Cited: 6
Digitalization of livestock farms through blockchain, big data, artificial intelligence, and Internet of Things
Rajneesh Thakur, Manoj Baghel, Suvarna Bhoj, et al.
Elsevier eBooks (2024), pp. 179-206
Closed Access | Times Cited: 5
Classification of cow diet based on milk Mid Infrared Spectra: A data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2022”
Maria Frizzarin, Giulio Visentin, Alessandro Ferragina, et al.
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 234, pp. 104755-104755
Open Access | Times Cited: 12
Estimation of body condition score change in dairy cows in a seasonal calving pasture-based system using routinely available milk mid-infrared spectra and machine learning techniques
Maria Frizzarin, Isobel Claire Gormley, D.P. Berry, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 6, pp. 4232-4244
Open Access | Times Cited: 12
Future Trends and Prospects in Dairy Industry
Hagar F. Forsan
Sustainable development goals series (2025), pp. 383-396
Closed Access
Leveraging milk mid-infrared spectroscopy to authenticate animal welfare, farming practices, and dairy systems of Parmigiano Reggiano cheese
Marco Aurelio Ramirez Mauricio, Marco Berton, Nicolò Amalfitano, et al.
Journal of Dairy Science (2025)
Open Access
Efficiency of genomic and phenomic selection using mid-infrared milk spectra for milk production, somatic cell count, and udder type traits in French Lacaune dairy sheep
C. Machefert, Hélène Larroque, Jean‐Michel Astruc, et al.
JDS Communications (2025)
Open Access
Using milk mid-infrared spectroscopy to estimate cow-level nitrogen efficiency metrics
Maria Frizzarin, D.P. Berry, E. Tavernier
Journal of Dairy Science (2024) Vol. 107, Iss. 8, pp. 5805-5816
Open Access | Times Cited: 3
Effectiveness of machine learning algorithms as a tool to meat traceability system. A case study to classify Spanish Mediterranean lamb carcasses
Manuel García-Infante, Pedro Castro‐Valdecantos, Manuel Delgado Pertíñez, et al.
Food Control (2024) Vol. 164, pp. 110604-110604
Open Access | Times Cited: 3
Machine learning and electrochemistry techniques for detecting adulteration of goat milk with cow milk
Dangqin Xue, Huanping Zhao
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 7, pp. 6012-6019
Closed Access | Times Cited: 3
Comparing the potential of benchtop and handheld mid-infrared spectrometers for predicting soil phosphorus (P) sorption capacity and evaluating the influence of sample preparation
Sifan Yang, Blánaid White, Felipe Bachion de Santana, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 322, pp. 124856-124856
Open Access | Times Cited: 3
Suitability of different machine learning algorithms for the classification of the proportion of grassland-based forages at herd-level using mid-infrared spectral information from routine milk control
Amy Birkinshaw, Michael Sutter, Madlene Nussbaum, et al.
Journal of Dairy Science (2024)
Open Access | Times Cited: 2
Importance of Mid-Infrared Spectra Regions for the Prediction of Mastitis and Ketosis in Dairy Cows
Stefan Gruber, Lisa Rienesl, A. Köck, et al.
Animals (2023) Vol. 13, Iss. 7, pp. 1193-1193
Open Access | Times Cited: 4
XAI-empowered IoT multi-sensor system for real-time milk adulteration detection
Kashish Goyal, Parteek Kumar, Karun Verma
Food Control (2024) Vol. 164, pp. 110495-110495
Closed Access | Times Cited: 1
Machine learning strategy for light lamb carcass classification using meat biomarkers
Manuel García-Infante, Pedro Castro‐Valdecantos, Manuel Delgado Pertíñez, et al.
Food Bioscience (2024) Vol. 59, pp. 104104-104104
Open Access | Times Cited: 1
Prediction of Indirect Indicators of a Grass-Based Diet by Milk Fourier Transform Mid-Infrared Spectroscopy to Assess the Feeding Typologies of Dairy Farms
Hélène Soyeurt, Cyprien Gerards, Charles Nickmilder, et al.
Animals (2022) Vol. 12, Iss. 19, pp. 2663-2663
Open Access | Times Cited: 7
Grazing affects metabolic pattern of individual cow milk
Giovanni Niero, Gaia Meoni, Leonardo Tenori, et al.
Journal of Dairy Science (2022) Vol. 105, Iss. 12, pp. 9702-9712
Open Access | Times Cited: 6
Usefulness of mid-infrared spectroscopy as a tool to estimate body condition score change from milk samples in intensively fed dairy cows
Maria Frizzarin, F. Miglior, D.P. Berry, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 12, pp. 9115-9124
Open Access | Times Cited: 3
What is to be gained by ensemble models in analysis of spectroscopic data?
Katarina Domijan
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 241, pp. 104936-104936
Open Access | Times Cited: 2
Parsimonious Bayesian factor analysis for modelling latent structures in spectroscopy data
Alessandro Casa, Tom F. O’Callaghan, Thomas Brendan Murphy
The Annals of Applied Statistics (2022) Vol. 16, Iss. 4
Open Access | Times Cited: 3
Optimization design and experiment of double-helix total mixed rations preparation mixer for silage straw feed
Meizhou Chen, Guangfei Xu, Xianghao Li, et al.
Journal of Agricultural Engineering (2024)
Open Access
Utilising fatty acid prediction equations and mid‐infrared spectroscopy to estimate the seasonality changes in bovine milk from pasture‐based systems
Mark Timlin, Tom F. O’Callaghan, Elaine K. McCarthy, et al.
International Journal of Dairy Technology (2024) Vol. 77, Iss. 4, pp. 1213-1224
Open Access
Mid-Infrared Spectroscopy (MIR)
Wenyang Jia, Anastasios Koidis
(2024), pp. 61-80
Closed Access
Machine Learning Applied to Milk Sample Classification
Mario Antonio Aira Leon, Diego A. Hincapié Ossa, José Taquía Gutiérrez
(2023)
Closed Access | Times Cited: 1
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