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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:

Infrared Spectrometry as a High-Throughput Phenotyping Technology to Predict Complex Traits in Livestock Systems
Tiago Bresolin, João Ricardo Rebouças Dórea
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

A review of deep learning algorithms for computer vision systems in livestock
Dário Augusto Borges Oliveira, Luiz Gustavo Ribeiro Pereira, Tiago Bresolin, et al.
Livestock Science (2021) Vol. 253, pp. 104700-104700
Open Access | Times Cited: 103
Leveraging computer vision-based pose estimation technique in dairy cows for objective mobility analysis and scoring system
Shogo Higaki, Yoshitaka Matsui, Masafumi MIWA, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108573-108573
Closed Access | Times Cited: 8
Predicting body weight in growing pigs from feeding behavior data using machine learning algorithms
Yuqing He, Francesco Tiezzi, Jeremy Howard, et al.
Computers and Electronics in Agriculture (2021) Vol. 184, pp. 106085-106085
Open Access | Times Cited: 35
FTIR-based prediction of collagen content in hydrolyzed protein samples
Kenneth Aase Kristoffersen, Ingrid Måge, Sileshi Gizachew Wubshet, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 301, pp. 122919-122919
Open Access | Times Cited: 15
Developing Transferable Fourier Transform Mid-Infrared Spectroscopy Predictive Models for Buffalo Milk: A Spatio-Temporal Application Strategy Analysis Across Dairy Farms
Han Jiang, Peipei Wen, Yikai Fan, et al.
Foods (2025) Vol. 14, Iss. 6, pp. 969-969
Open Access
Validation of milk mid-infrared spectroscopy for predicting the metabolic status of lactating dairy cows in Australia
Phuong N. Ho, T.D.W. Luke, J.E. Pryce
Journal of Dairy Science (2021) Vol. 104, Iss. 4, pp. 4467-4477
Open Access | Times Cited: 27
Prediction of the likelihood of conception to first or second insemination in Chinese Holstein cows using milk Fourier transformed infrared spectroscopy
Chu Chu, Peipei Wen, Weiqi Li, et al.
Journal of Dairy Science (2025)
Open 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
Leveraging computer vision, large language models, and multimodal machine learning for optimal decision-making in dairy farming
Rafael Ferreira, João Ricardo Rebouças Dórea
Journal of Dairy Science (2025)
Open Access
Nir spectroscopy for decision-making in the livestock sector: A technological breakthrough
José Antonio Entrenas, Irina Torres, Dolores Pérez‐Marín
Advances in food and nutrition research (2025)
Closed Access
Development of prediction equations for IgA, IgG, and IgM concentrations in mature milk from Holstein cows using milk infrared spectral data
Yoshiaki Satake, Teppei Katsura, Tao Zhuang, et al.
Journal of Dairy Science (2025)
Open Access
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
Robustness of hyperspectral imaging and PLSR model predictions of intramuscular fat in lamb M. longissimus lumborum across several flocks and years
S. Hitchman, M.P.F. Loeffen, Marlon M. Reis, et al.
Meat Science (2021) Vol. 179, pp. 108492-108492
Closed Access | Times Cited: 20
Phenotypic and genomic modeling of lactation curves: A longitudinal perspective
Hinayah R. Oliveira, Gabriel Soares Campos, Sirlene Fernandes Lázaro, et al.
JDS Communications (2024) Vol. 5, Iss. 3, pp. 241-246
Open Access | Times Cited: 2
Revealing in vivo broiler chicken growth state: Integrating CT imaging and deep learning for non-invasive reproductive phenotypic measurement
Xupeng Kou, Yakun Yang, Hongcheng Xue, et al.
Computers and Electronics in Agriculture (2024), pp. 109477-109477
Closed Access | Times Cited: 2
Prediction of fatty acid composition using milk spectral data and its associations with various mid-infrared spectral regions in Michigan Holsteins
G. Rovere, G. de los Campos, A.L. Lock, et al.
Journal of Dairy Science (2021) Vol. 104, Iss. 10, pp. 11242-11258
Open Access | Times Cited: 15
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
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
Opportunities to Harness High-Throughput and Novel Sensing Phenotypes to Improve Feed Efficiency in Dairy Cattle
Cori J. Siberski-Cooper, James E. Koltes
Animals (2021) Vol. 12, Iss. 1, pp. 15-15
Open Access | Times Cited: 10
The use of milk Fourier-transform mid-infrared spectroscopy to diagnose pregnancy and determine spectral regional associations with pregnancy in US dairy cows
Piush Khanal, Robert J. Tempelman
Journal of Dairy Science (2022) Vol. 105, Iss. 4, pp. 3209-3221
Open Access | Times Cited: 7
Pregnancy status predicted using milk mid-infrared spectra from dairy cattle
Kathryn Tiplady, Minh-Hieu Trinh, Stephen R. Davis, et al.
Journal of Dairy Science (2022) Vol. 105, Iss. 4, pp. 3615-3632
Open Access | Times Cited: 7
Assessing the Application of Near-Infrared Spectroscopy to Determine Saccharification Efficiency of Corn Biomass
Sonia Pereira-Crespo, Noemi Gesteiro, Ana López-Malvar, et al.
BioEnergy Research (2024) Vol. 17, Iss. 3, pp. 1522-1532
Open Access | Times Cited: 1
Common Pitfalls in Evaluating Model Performance and Strategies for Avoidance
Chaoqi Chen, R.R. White
(2024)
Closed Access | Times Cited: 1
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