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 dry matter intake in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks
Saeed Shadpour, T.C.S. Chud, Dagnachew Hailemariam, et al.
Journal of Dairy Science (2022) Vol. 105, Iss. 10, pp. 8257-8271
Open Access | Times Cited: 13
Saeed Shadpour, T.C.S. Chud, Dagnachew Hailemariam, et al.
Journal of Dairy Science (2022) Vol. 105, Iss. 10, pp. 8257-8271
Open Access | Times Cited: 13
Showing 13 citing articles:
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: 13
Chu Chu, Haitong Wang, Xuelu Luo, et al.
Foods (2023) Vol. 12, Iss. 20, pp. 3856-3856
Open Access | Times Cited: 13
Assessing different cross-validation schemes for predicting novel traits using sensor data: an application to dry matter intake and residual feed intake using milk spectral data
A. Yilmaz Adkinson, Mohamed Abouhawwash, Mike VandeHaar, et al.
Journal of Dairy Science (2024)
Open Access | Times Cited: 4
A. Yilmaz Adkinson, Mohamed Abouhawwash, Mike VandeHaar, et al.
Journal of Dairy Science (2024)
Open Access | Times Cited: 4
Development of Machine Learning Models for Estimating Metabolizable Protein Supply from Feed in Lactating Dairy Cows
Mingyung Lee, Dong Hyeon Kim, Seongwon Seo, et al.
Animals (2025) Vol. 15, Iss. 5, pp. 687-687
Open Access
Mingyung Lee, Dong Hyeon Kim, Seongwon Seo, et al.
Animals (2025) Vol. 15, Iss. 5, pp. 687-687
Open Access
Application of the Different Machine Learning Algorithms to Predict Dry Matter Intake in Feedlot Cattle
Özgür Koşkan, Malik Ergin, Hayati Köknaroğlu
Tarım Bilimleri Dergisi (2025) Vol. 31, Iss. 1, pp. 91-99
Open Access
Özgür Koşkan, Malik Ergin, Hayati Köknaroğlu
Tarım Bilimleri Dergisi (2025) Vol. 31, Iss. 1, pp. 91-99
Open Access
Mid-infrared milk screening as a phenotyping tool for feed efficiency in dairy cattle
Ludmila Zavadilová, Eva Kašná, Z. Krupová, et al.
Czech Journal of Animal Science (2025)
Open Access
Ludmila Zavadilová, Eva Kašná, Z. Krupová, et al.
Czech Journal of Animal Science (2025)
Open Access
Prediction of dry matter intake in growing Black Bengal goats using artificial neural networks
Bed Singh, Ajoy Kumar Das, Champak Bhakat, et al.
Tropical Animal Health and Production (2025) Vol. 57, Iss. 2
Closed Access
Bed Singh, Ajoy Kumar Das, Champak Bhakat, et al.
Tropical Animal Health and Production (2025) Vol. 57, Iss. 2
Closed 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
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
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
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
Standardization method, testing scenario, and accuracy of the infrared prediction model affect the standardization accuracy of milk mid-infrared spectra
Wenqi Lou, Haibo Lu, Xiaoli Ren, et al.
Journal of Dairy Science (2024) Vol. 107, Iss. 11, pp. 9404-9414
Open Access | Times Cited: 1
Wenqi Lou, Haibo Lu, Xiaoli Ren, et al.
Journal of Dairy Science (2024) Vol. 107, Iss. 11, pp. 9404-9414
Open Access | Times Cited: 1
Prediction of individual total amino acids and free amino acids in Chinese Holstein cows milk using mid-infrared spectroscopy and their phenotypic variability
Chu Chu, Peipei Wen, Weiqi Li, et al.
Food Research International (2024) Vol. 200, pp. 115482-115482
Closed Access | Times Cited: 1
Chu Chu, Peipei Wen, Weiqi Li, et al.
Food Research International (2024) Vol. 200, pp. 115482-115482
Closed Access | Times Cited: 1
Association between Days Open and Parity, Calving Season or Milk Spectral Data
Liangkang Nan, Chao Du, Yikai Fan, et al.
Animals (2023) Vol. 13, Iss. 3, pp. 509-509
Open Access | Times Cited: 1
Liangkang Nan, Chao Du, Yikai Fan, et al.
Animals (2023) Vol. 13, Iss. 3, pp. 509-509
Open Access | Times Cited: 1
Milk Yield Prediction and Economic Analysis of Optimized Rearing Environment in a Cold Region Using Neural Network Model
Jingfu Zhang, Zhiwei Liu, Zhengxiang Shi, et al.
Agriculture (2023) Vol. 13, Iss. 12, pp. 2206-2206
Open Access | Times Cited: 1
Jingfu Zhang, Zhiwei Liu, Zhengxiang Shi, et al.
Agriculture (2023) Vol. 13, Iss. 12, pp. 2206-2206
Open Access | Times Cited: 1
Estimation of Genetic Parameters of the Feed Efficiency Trait using the Random Regression Model in Dairy Cows
Fatemeh Ala Noshahr, Reza Seyedsharifi, Jamal Seıfdavatı, et al.
Annual report. (2024) Vol. 15, Iss. 4, pp. 70-82
Closed Access
Fatemeh Ala Noshahr, Reza Seyedsharifi, Jamal Seıfdavatı, et al.
Annual report. (2024) Vol. 15, Iss. 4, pp. 70-82
Closed Access
