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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:

The potential of Fourier transform infrared spectroscopy of milk samples to predict energy intake and efficiency in dairy cows
S. McParland, D.P. Berry
Journal of Dairy Science (2016) Vol. 99, Iss. 5, pp. 4056-4070
Open Access | Times Cited: 56

Showing 26-50 of 56 citing articles:

Effects of fennel (Foeniculum vulgare) seed powder addition during early lactation on performance, milk fatty acid profile, and rumen fermentation parameters of Holstein cows
Erfaneh Moosavi‐Zadeh, Amin Rahimi, Hassan Rafiee, et al.
Frontiers in Animal Science (2023) Vol. 4
Open Access | Times Cited: 9
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
Factors associated with milk processing characteristics predicted by mid-infrared spectroscopy in a large database of dairy cows
Giulio Visentin, Massimo De Marchi, D.P. Berry, et al.
Journal of Dairy Science (2017) Vol. 100, Iss. 4, pp. 3293-3304
Open Access | Times Cited: 28
Prediction of the diet energy digestion using kernel extreme learning machine: A case study with Holstein dry cows
Qiang Fu, Weizheng Shen, Xiaoli Wei, et al.
Computers and Electronics in Agriculture (2020) Vol. 169, pp. 105231-105231
Closed Access | Times Cited: 22
Energy profiling of dairy cows from routine milk mid-infrared analysis
SL Smith, Scott J. Denholm, M.P. Coffey, et al.
Journal of Dairy Science (2019) Vol. 102, Iss. 12, pp. 11169-11179
Open Access | Times Cited: 21
Near infrared (NIR) and fourier transform infrared (FTIR) spectroscopy combined with chemometrics for agrifood products analysis
Rohman Abdul, Listanti Riana, Lumakso Fajar Aji
Elsevier eBooks (2024), pp. 125-146
Closed Access | Times Cited: 2
Exploring Dry-Film FTIR Spectroscopy to Characterize Milk Composition and Subclinical Ketosis throughout a Cow’s Lactation
Amira Rachah, O. Reksen, Valeria Tafintseva, et al.
Foods (2021) Vol. 10, Iss. 9, pp. 2033-2033
Open Access | Times Cited: 15
Phenotyping metabolic status of dairy cows using clustering of time profiles of energy balance peripartum
F. Vossebeld, A.T.M. van Knegsel, Edoardo Saccenti
Journal of Dairy Science (2022) Vol. 105, Iss. 5, pp. 4565-4580
Open Access | Times Cited: 10
Can unsupervised learning methods applied to milk recording big data provide new insights into dairy cow health?
Sébastien Franceschini, Clément Grelet, Julie Leblois, et al.
Journal of Dairy Science (2022) Vol. 105, Iss. 8, pp. 6760-6772
Open Access | Times Cited: 10
Predicting nitrogen use efficiency, nitrogen loss and dry matter intake of individual dairy cows in late lactation by including mid-infrared spectra of milk samples
Rui Shi, Wenqi Lou, B.J. Ducro, et al.
Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Energy balance of dairy cows predicted by mid-infra-red spectra data of milk using Bayesian approaches
G. Rovere, Gustavo de los Campos, Grum Gebreyesus, et al.
Journal of Dairy Science (2023) Vol. 107, Iss. 3, pp. 1561-1576
Open Access | Times Cited: 5
Learning in the compressed data domain: Application to milk quality prediction
Dixon Vimalajeewa, Chamil Kulatunga, D.P. Berry
Information Sciences (2018) Vol. 459, pp. 149-167
Open Access | Times Cited: 14
Effects of the Inclusion of Fermented Mulberry Leaves and Branches in the Gestational Diet on the Performance and Gut Microbiota of Sows and Their Offspring
Yuping Zhang, Chang Yin, Martine Schroyen, et al.
Microorganisms (2021) Vol. 9, Iss. 3, pp. 604-604
Open Access | Times Cited: 10
Prediction of dry matter intake and gross feed efficiency using milk production and live weight in first-parity Holstein cows
Matome Andrias Madilindi, C.B. Banga, Oliver T. Zishiri
Tropical Animal Health and Production (2022) Vol. 54, Iss. 5
Closed Access | Times Cited: 7
Cow and environmental factors associated with protein fractions and free amino acids predicted using mid-infrared spectroscopy in bovine milk
A. McDermott, Massimo De Marchi, D.P. Berry, et al.
Journal of Dairy Science (2017) Vol. 100, Iss. 8, pp. 6272-6284
Open Access | Times Cited: 10
Correlations of feed intake predicted with milk infrared spectra and breeding values in the Dutch Holstein population
W. Ouweltjes, R.F. Veerkamp, Gerbrand van Burgsteden, et al.
Journal of Dairy Science (2022) Vol. 105, Iss. 6, pp. 5271-5282
Open Access | Times Cited: 5
Predicting dry matter intake in mid-lactation Holstein cows using point-in-time data streams available on dairy farms
W.E. Brown, Malia J. Caputo, Cori J. Siberski-Cooper, et al.
Journal of Dairy Science (2022) Vol. 105, Iss. 12, pp. 9666-9681
Open Access | Times Cited: 5
Goat farm variability affects milk Fourier-transform infrared spectra used for predicting coagulation properties
Christos Dadousis, Claudio Cipolat‐Gotet, Giorgia Stocco, et al.
Journal of Dairy Science (2021) Vol. 104, Iss. 4, pp. 3927-3935
Open Access | Times Cited: 7
Comparison of Single-Breed and Multi-Breed Training Populations for Infrared Predictions of Novel Phenotypes in Holstein Cows
Lúcio Flávio Macêdo Mota, Sara Pegolo, Toshimi Baba, et al.
Animals (2021) Vol. 11, Iss. 7, pp. 1993-1993
Open Access | Times Cited: 6
Patterns of Fourier-transform infrared estimated milk constituents in early lactation Holstein cows on a single New York State dairy
K. R. Callero, E. M. Teplitz, D.M. Barbano, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 4, pp. 2716-2728
Open Access | Times Cited: 2
Milk as an indicator of dietary imbalance
I.J. Lean, HM Golder
Australian Veterinary Journal (2023)
Open Access | Times Cited: 2
Feeding diets varying in starch concentration supplemented with palmitic acid or stearic acid: Effects on performance, milk fatty acid profile, and metabolic parameters of postpartum dairy cows
D. Daneshvar, E. Ghasemi, F. Hashemzadeh, et al.
Animal Feed Science and Technology (2021) Vol. 279, pp. 115015-115015
Closed Access | Times Cited: 4
Phenotypic and genetic variation of ultraviolet–visible-infrared spectral wavelengths of bovine meat
Giovanni Bittante, Simone Savoia, Alessio Cecchinato, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 4
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
Selection indices for residual feed intake derived from milk spectra
Hugo Toledo-Alvarado, Robert J. Tempelman, Marco Lopez‐Cruz, et al.
Journal of Dairy Science (2024)
Open Access

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