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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:

Predicting cow milk quality traits from routinely available milk spectra using statistical machine learning methods
Maria Frizzarin, Isobel Claire Gormley, D.P. Berry, et al.
Journal of Dairy Science (2021) Vol. 104, Iss. 7, pp. 7438-7447
Open Access | Times Cited: 63

Showing 1-25 of 63 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: 14
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
Real-time milk analysis integrated with stacking ensemble learning as a tool for the daily prediction of cheese-making traits in Holstein cattle
Lúcio Flávio Macêdo Mota, Diana Giannuzzi, Vittoria Bisutti, et al.
Journal of Dairy Science (2022) Vol. 105, Iss. 5, pp. 4237-4255
Open Access | Times Cited: 25
Forecasting drinking milk price based on economic, social, and environmental factors using machine learning algorithms
Abdülkadir Atalan
Agribusiness (2022) Vol. 39, Iss. 1, pp. 214-241
Closed Access | Times Cited: 23
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: 31
Predicting starch content in cassava fresh roots using near-infrared spectroscopy
Edwige Gaby Nkouaya Mbanjo, Jenna Hershberger, Prasad Peteti, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 19
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
Predicting methane emissions of individual grazing dairy cows from spectral analyses of their milk samples
S. McParland, Maria Frizzarin, B. Lahart, et al.
Journal of Dairy Science (2023) Vol. 107, Iss. 2, pp. 978-991
Open Access | Times Cited: 11
Possible Alternatives: Identifying and Quantifying Adulteration in Buffalo, Goat, and Camel Milk Using Mid-Infrared Spectroscopy Combined with Modern Statistical Machine Learning Methods
Chu Chu, Haitong Wang, Xuelu Luo, et al.
Foods (2023) Vol. 12, Iss. 20, pp. 3856-3856
Open Access | Times Cited: 11
Beyond the hype: using AI, big data, wearable devices, and the internet of things for high-throughput livestock phenotyping
Tomas Klingström, Emelie Zonabend König, Avhashoni Agnes Zwane
Briefings in Functional Genomics (2024)
Open Access | Times Cited: 4
A Review on MIR, NIR, Fluorescence and Raman Spectroscopy Combined with Chemometric Modeling to Predict the Functional Properties of Raw Bovine Milk
Áine M. Ní Fhuaráin, Colm P. O’Donnell, Jiani Luo, et al.
ACS Food Science & Technology (2024)
Open Access | Times Cited: 4
Advancing dairy science through integrated analytical approaches based on multi-omics and machine learning
Pier Paolo Becchi, Gabriele Rocchetti, Luigi Lucini
Current Opinion in Food Science (2025), pp. 101289-101289
Closed Access
Common pitfalls in evaluating model performance and strategies for avoidance in agricultural studies
Chunpeng James Chen, R.R. White, Ryan Wright
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110126-110126
Open Access
Application of Optical Quality Control Technologies in the Dairy Industry: An Overview
Dmitriy E. Burmistrov, D. Yu. Pavkin, A. R. Khakimov, et al.
Photonics (2021) Vol. 8, Iss. 12, pp. 551-551
Open Access | Times Cited: 25
Heat Stability Assessment of Milk: A Review of Traditional and Innovative Methods
Jianfeng Wu, Simin Chen, Paul Van der Meeren
Foods (2024) Vol. 13, Iss. 14, pp. 2236-2236
Open Access | Times Cited: 3
Comparison of the genetic characteristics of directly measured and Fourier-transform mid-infrared-predicted bovine milk fatty acids and proteins
Kathryn Tiplady, Thomas Lopdell, Richard G. Sherlock, et al.
Journal of Dairy Science (2022) Vol. 105, Iss. 12, pp. 9763-9791
Open Access | Times Cited: 14
Identifying Health Status in Grazing Dairy Cows from Milk Mid-Infrared Spectroscopy by Using Machine Learning Methods
Brenda Contla Hernández, N. López‐Villalobos, Matthieu Vignes
Animals (2021) Vol. 11, Iss. 8, pp. 2154-2154
Open Access | Times Cited: 20
Integrating on-farm and genomic information improves the predictive ability of milk infrared prediction of blood indicators of metabolic disorders in dairy cows
Lúcio Flávio Macêdo Mota, Diana Giannuzzi, Sara Pegolo, et al.
Genetics Selection Evolution (2023) Vol. 55, Iss. 1
Open Access | Times Cited: 7
Mid-infrared spectroscopy for large-scale phenotyping of bovine colostrum gross composition and immunoglobulin concentration
Arianna Goi, Angela Costa, Giulio Visentin, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 9, pp. 6388-6401
Open Access | Times Cited: 7
Minerals and essential amino acids of bovine colostrum: Phenotypic variability and predictive ability of mid- and near-infrared spectroscopy
Arianna Goi, Massimo De Marchi, Angela Costa
Journal of Dairy Science (2023) Vol. 106, Iss. 12, pp. 8341-8356
Open Access | Times Cited: 7
Effect of pasteurization on coagulation properties of bovine milk and the role of major composition traits and protein fractions
Marco Franzoi, Angela Costa, V. Vigolo, et al.
Journal of Food Composition and Analysis (2022) Vol. 114, pp. 104808-104808
Open Access | Times Cited: 12
Infrared Spectroscopy and Chemometric Applications for the Qualitative and Quantitative Investigation of Grapevine Organs
Elizma van Wyngaard, Erna Blancquaert, H.H. Nieuwoudt, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 15
The development of effective ruminant breeding programmes in Ireland from science to practice
D.P. Berry, F.L. Dunne, N. McHugh, et al.
Irish Journal of Agricultural and Food Research (2022) Vol. 61, Iss. 1
Open Access | Times Cited: 9
Raw milk quality in large-scale farms under hot weather conditions: Learnings from one-year quality control data
Rodney J. Feliciano, Géraldine Boué, Fahad Mohssin, et al.
Journal of Food Composition and Analysis (2023) Vol. 117, pp. 105127-105127
Open Access | Times Cited: 5
Mid infrared spectroscopy and milk quality traits: A data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2021”
Maria Frizzarin, Antonio Bevilacqua, Bhaskar Dhariyal, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 219, pp. 104442-104442
Open Access | Times Cited: 12
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