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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:

Prediction of marbling score and carcass traits in Korean Hanwoo beef cattle using machine learning methods and synthetic minority oversampling technique
Saleh Shahinfar, Hawlader Abdullah Al-Mamun, Byoungho Park, et al.
Meat Science (2019) Vol. 161, pp. 107997-107997
Closed Access | Times Cited: 25

Showing 25 citing articles:

Machine Learning in Agriculture: A Comprehensive Updated Review
Lefteris Benos, Aristotelis C. Tagarakis, Georgios Dolias, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3758-3758
Open Access | Times Cited: 516
Learning-based estimation of cattle weight gain and its influencing factors
Muhammad Riaz Hasib Hossain, Md. Rafiqul Islam, Shawn McGrath, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 110033-110033
Open Access | Times Cited: 1
Differential scanning calorimetry coupled with machine learning technique: An effective approach to determine the milk authenticity
Juliana S. Farah, Rodrigo N. Cavalcanti, Jonas T. Guimarães, et al.
Food Control (2020) Vol. 121, pp. 107585-107585
Closed Access | Times Cited: 58
A systematic review of determinants of cultured meat adoption: impacts and guiding insights
Béré Benjamin Kouarfaté, Fabien Durif
British Food Journal (2023) Vol. 125, Iss. 8, pp. 2737-2763
Closed Access | Times Cited: 21
Image-based body mass prediction of heifers using deep neural networks
Roel Dohmen, Cagatay Catal, Qingzhi Liu
Biosystems Engineering (2021) Vol. 204, pp. 283-293
Closed Access | Times Cited: 37
Application of supervised machine learning approaches for predicting household electricity consumption in Alexandria, Egypt
Nourhan H. Farag, Mohamed A. Abdrabo, Mohamed A. El-Iskandarani
Multidisciplinary Materials Chronicles. (2025), pp. 62-79
Closed Access
A systematic literature review on the applications of federated learning and enabling technologies for livestock management
Ricardo Garro, Carrie S Wilson, David L. Swain, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110180-110180
Open Access
Review on image-based animals weight weighing
Yuliang Zhao, Qijun Xiao, Jinhao Li, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108456-108456
Closed Access | Times Cited: 10
A Pig Mass Estimation Model Based on Deep Learning without Constraint
Junbin Liu, Deqin Xiao, Youfu Liu, et al.
Animals (2023) Vol. 13, Iss. 8, pp. 1376-1376
Open Access | Times Cited: 9
Predictive modeling for postoperative delirium in elderly patients with abdominal malignancies using synthetic minority oversampling technique
Wenjing Hu, Gang Bai, Yan Wang, et al.
World Journal of Gastrointestinal Oncology (2024) Vol. 16, Iss. 4, pp. 1227-1235
Open Access | Times Cited: 3
An initial investigation into the use of machine learning methods for prediction of carcass component yields in F2 broiler chickens
Hossein Bani Saadat, Rasoul Vaez Torshizi, Ghader Manafiazar, et al.
Animal Production Science (2024) Vol. 64, Iss. 4
Closed Access | Times Cited: 2
Genome-Enabled Prediction Methods Based on Machine Learning
Edgar L. Reinoso-Peláez, Daniel Gianola, Ó. González-Recio
Methods in molecular biology (2022), pp. 189-218
Open Access | Times Cited: 11
The Relationship between Satellite-Derived Vegetation Indices and Live Weight Changes of Beef Cattle in Extensive Grazing Conditions
Christie Pearson, Patrick Filippi, L. A. González
Remote Sensing (2021) Vol. 13, Iss. 20, pp. 4132-4132
Open Access | Times Cited: 13
Predicting carcass tissue composition in Blackbelly sheep using ultrasound measurements and machine learning methods
E. Camacho-Pérez, Jesús Manuel Lugo-Quintal, Cem Tırınk, et al.
Tropical Animal Health and Production (2023) Vol. 55, Iss. 5
Closed Access | Times Cited: 5
Using fat thickness and longissimus thoracis traits real-time ultrasound measurements in Black Belly ewe lambs to predict carcass tissue composition through multiresponse multivariate adaptive regression splines algorithm
Germani Adrián Muñoz-Osorio, Cem Tırınk, Thobela Louis Tyasi, et al.
Meat Science (2023) Vol. 207, pp. 109369-109369
Closed Access | Times Cited: 5
Estimation of Bali Cattle Body Weight Based on Morphological Measurements by Machine Learning Algorithms: Random Forest, Support Vector, K-Neighbors, and Extra Tree Regression
Ni Putu Sarini, KOMANG DHARMAWAN
Journal Of Advanced Zoology (2023) Vol. 44, Iss. 3, pp. 1-9
Open Access | Times Cited: 4
Prospectivity Mapping of Tungsten Mineralization in Southern Jiangxi Province Using Few-Shot Learning
Kai Zhou, Tao Sun, Yue Liu, et al.
Minerals (2023) Vol. 13, Iss. 5, pp. 669-669
Open Access | Times Cited: 3
Effects of different floral periods and environmental factors on royal jelly identification by stable isotopes and machine learning analyses during non-migratory beekeeping
Zhaolong Liu, Xin Yin, Hongxia Li, et al.
Food Research International (2023) Vol. 173, pp. 113360-113360
Closed Access | Times Cited: 3
Prospectivity Mapping of Tungsten Mineralization in Southern Jiangxi Province Using Few-shot Learning
Kai Zhou, Tao Sun, Yue Liu, et al.
(2023)
Open Access | Times Cited: 2
Effects of data time lag in a decision-making system using machine learning for pork price prediction
Mario E. Suaza-Medina, F. Javier Zarazaga‐Soria, Jorge Pinilla-Lopez, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 26, pp. 19221-19233
Open Access | Times Cited: 2
Relationship between rib fat thickness and carcass price among different carcass weight groups in Korean native cattle
Eunjeong Jeon, Sangbuem Cho, Myungsun Park, et al.
Czech Journal of Animal Science (2024) Vol. 69, Iss. 6, pp. 211-218
Open Access
Hybrid Deep Learning Approach for Enhanced Animal Breed Classification and Prediction
Safdar Sardar Khan, Nitika Vats Doohan, Manish Gupta, et al.
Traitement du signal (2023) Vol. 40, Iss. 5, pp. 2087-2099
Open Access | Times Cited: 1
Estimation of beef marbling standard for live cattle using multi-input convolutional neural network with ultrasound images
Toshiki Katayama, Hirohumi Kawada, Masashi Nishiyama, et al.
(2021), pp. 16-16
Closed Access | Times Cited: 3
Research on Intelligent Grading Method of Beef Marble Pattern Based on Few-shot Learning
Chao Liu, Kunjie Chen, Hongyuan Wen, et al.
Research Square (Research Square) (2023)
Open Access
Estimation of Beef Marbling Standard for Live Cattle Using Multi-input CNN with Ultrasound Images and Individual Cattle Information
Hirohumi Kawada, Yuito Higuchi, Masashi Nishiyama, et al.
2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) (2023), pp. 107-110
Closed Access
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