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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:

Can machine learning algorithms perform better than multiple linear regression in predicting nitrogen excretion from lactating dairy cows
Xianjiang Chen, Huiru Zheng, Haiying Wang, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 19

Showing 19 citing articles:

The application of machine learning to air pollution research: A bibliometric analysis
Yunzhe Li, Zhipeng Sha, Aohan Tang, et al.
Ecotoxicology and Environmental Safety (2023) Vol. 257, pp. 114911-114911
Open Access | Times Cited: 29
Short review of current limits and challenges of application of machine learning algorithms in the dairy sector
Lucia Trapanese, Miel Hostens, Angela Salzano, et al.
ACTA IMEKO (2024) Vol. 13, Iss. 1, pp. 1-7
Open Access | Times Cited: 4
Thresholding and continuous wavelet transform (CWT) analysis of Ground Penetrating Radar (GPR) data for estimation of potato biomass
Henry Ruiz, Tyler Adams, Afolabi Agbona, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110114-110114
Open Access
Future Trends and Prospects in Dairy Industry
Hagar F. Forsan
Sustainable development goals series (2025), pp. 383-396
Closed Access
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
Rational design of deep eutectic solvents for the stabilization of dehydrogenases: an artificial neural network prediction approach
Mia Radović, Ana Jurinjak Tušek, Tamara Reiter, et al.
Frontiers in Chemistry (2024) Vol. 12
Open Access | Times Cited: 3
Performance Evaluation of Various Machine Learning Models and Its Implications for Informed Air Policy Decisions
Vikram Ranjan, Garima Chanana
IGI Global eBooks (2025), pp. 193-232
Closed Access
Finding optimum climatic parameters for high tomato yield in Benin (West Africa) using frequent pattern growth algorithm
Sèton Calmette Ariane Houetohossou, Vinasétan Ratheil Houndji, Rachidatou Sikirou, et al.
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0297983-e0297983
Open Access | Times Cited: 2
Multilayer perceptron and support vector regression models for feline parturition date prediction
Thanida Sananmuang, Kanchanarat Mankong, Kaj Chokeshaiusaha
Heliyon (2024) Vol. 10, Iss. 6, pp. e27992-e27992
Open Access | Times Cited: 2
Application of Portable Near-Infrared Instrument for Analysis of Spirulina platensis Aqueous Extracts
B. Marjanović, Tea Sokač Cvetnić, Davor Valinger, et al.
Separations (2024) Vol. 11, Iss. 6, pp. 190-190
Open Access | Times Cited: 2
GIS-facilitated procedure for optimal rural electrification planning: A case study in Naeder, Ethiopia
Aleksandar Dimovski, Zahra Pezham, Mohammad Hossein Ahmadi, et al.
Energy Sustainable Development/Energy for sustainable development (2024) Vol. 82, pp. 101520-101520
Closed Access | Times Cited: 2
Application of Multivariate Regression and Artificial Neural Network Modelling for Prediction of Physicochemical Properties of Grape-Skin Compost
Tea Sokač Cvetnić, Korina Krog, Davor Valinger, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 285-285
Open Access | Times Cited: 1
Application of Machine learning techniques in environmental governance: A review
Nanyi Peng
Advances in Engineering Technology Research (2023) Vol. 7, Iss. 1, pp. 528-528
Open Access | Times Cited: 1
Enhancing Immunoglobulin G Goat Colostrum Determination Using Color-Based Techniques and Data Science
Manuel Betancor-Sánchez, Marta González-Cabrera, Antonio Morales-delaNuez, et al.
Animals (2024) Vol. 15, Iss. 1, pp. 31-31
Open Access
Smart modelling of dairy milk production with machine learning
Timothy Kayode Samson, Adefunke Christianah Omoyajowo, Segun Adebayo, et al.
IOP Conference Series Earth and Environmental Science (2023) Vol. 1219, Iss. 1, pp. 012008-012008
Open Access
Development of prediction model for body weight and energy balance indicators from milk traits in lactating dairy cows based on deep neural networks
Eunjeong Jeon, Sangbuem Cho, Seongsoo Hwang, et al.
Journal of King Saud University - Science (2023) Vol. 36, Iss. 1, pp. 103008-103008
Open Access
APPLICATIONS OF REGRESSION ALGORITHMS IN MACHINE LEARNING IN VETERINARY MEDICINE
Volkan Türkmen, Doğukan Özen
Veteriner Farmakoloji ve Toksikoloji Derneği Bülteni (2023) Vol. 14, Iss. 3, pp. 118-132
Open Access
Research on performance control of intercalated meltblown nonwovens based on neural network and grey relational analysis
Guoqiang Wang, Yingtao Tao, Heng Sun
Highlights in Science Engineering and Technology (2022) Vol. 22, pp. 117-124
Open Access
Sales Prediction using Linear Regression
Swapnil Takale, Tejas Bhong, Umesh Dethe, et al.
Journal of Electronics Computer Networking and Applied Mathematics (2022), Iss. 25, pp. 62-71
Open Access
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