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:

Classification of healthy and mastitis Murrah buffaloes by application of neural network models using yield and milk quality parameters
Indu Panchal, I. K. Sawhney, A. K. Sharma, et al.
Computers and Electronics in Agriculture (2016) Vol. 127, pp. 242-248
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Milk somatic cells, factors influencing their release, future prospects, and practical utility in dairy animals: An overview
Mohanned Naif Alhussien, Ajay Kumar Dang
Veterinary World (2018) Vol. 11, Iss. 5, pp. 562-577
Open Access | Times Cited: 251

Hierarchical pattern recognition in milking parameters predicts mastitis prevalence
Esmaeil Ebrahimie, Faezeh Ebrahimi, Mansour Ebrahimi, et al.
Computers and Electronics in Agriculture (2018) Vol. 147, pp. 6-11
Closed Access | Times Cited: 64

Comparison of machine learning methods to predict udder health status based on somatic cell counts in dairy cows
Tania Bobbo, Stefano Biffani, Cristian Taccioli, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 43

Early detection of subclinical mastitis in lactating dairy cows using cow-level features
Arjun Pakrashi, Chris Ryan, Christophe Guéret, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 7, pp. 4978-4990
Open Access | Times Cited: 17

Artificial neural networks and electron microscopy to evaluate the quality of fruit and vegetable spray-dried powders. Case study: Strawberry powder
Krzysztof Przybył, Jolanta Gawałek, K. Koszela, et al.
Computers and Electronics in Agriculture (2018) Vol. 155, pp. 314-323
Closed Access | Times Cited: 50

Comparison of methods for predicting cow composite somatic cell counts
Dorota Anglart, C. Hallén-Sandgren, Ulf Emanuelson, et al.
Journal of Dairy Science (2020) Vol. 103, Iss. 9, pp. 8433-8442
Open Access | Times Cited: 27

Cattle identification with muzzle pattern using computer vision technology: a critical review and prospective
A. Kaur, Munish Kumar, M. K. Jindal
Soft Computing (2022) Vol. 26, Iss. 10, pp. 4771-4795
Closed Access | Times Cited: 10

Integrating diverse data sources to predict disease risk in dairy cattle—a machine learning approach
Jana Lasser, Caspar Matzhold, C. Egger-Danner, et al.
Journal of Animal Science (2021) Vol. 99, Iss. 11
Open Access | Times Cited: 13

Data mining and decision support systems for efficient dairy production
Sunesh Balhara, Rishi Pal Singh, Anand Prakash Ruhil
Veterinary World (2021), pp. 1258-1262
Open Access | Times Cited: 12

A New Method to Detect Buffalo Mastitis Using Udder Ultrasonography Based on Deep Learning Network
Xinxin Zhang, Yuan Li, Yiping Zhang, et al.
Animals (2024) Vol. 14, Iss. 5, pp. 707-707
Open Access | Times Cited: 1

A study on the development and the application strategy of FT-MIRS-based models for the diagnosis of subclinical mastitis and milk quality classification in buffaloes
Chu Chu, Lei Ding, Xiaoli Ren, et al.
Microchemical Journal (2024) Vol. 200, pp. 110256-110256
Closed Access | Times Cited: 1

Nyquist Plots Prediction Using Neural Networks in Corrosion Inhibition of Steel by Schiff Base
Kazem Akbarzade, I. Danaee
DOAJ (DOAJ: Directory of Open Access Journals) (2018)
Closed Access | Times Cited: 5

Integrating diverse data sources to predict disease risk in dairy cattle
Jana Lasser, Caspar Matzhold, C. Egger-Danner, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 5

Multilayer Perceptron Application for Diabetes Mellitus Prediction in Pregnancy Care
Mário W. L. Moreira, Joel J. P. C. Rodrigues, Neeraj Kumar, et al.
Lecture notes in electrical engineering (2018), pp. 200-209
Closed Access | Times Cited: 4

Dog cough sound classification using artificial neural network and the selected relevant features from discrete wavelet transform
Panchana Kakabutr, Kullanan Sae Chen, Viewpaka Wangvisavawit, et al.
(2017), pp. 121-125
Closed Access | Times Cited: 3

Applications of Artificial Intelligence for Heat Stress Management in Ruminant Livestock
Ebenezer Binuni Rebez, Veerasamy Sejian, M. V. Silpa, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 5890-5890
Open Access

Predicting age at first calving of dairy breed calves using whale optimization-based ensemble learning framework
Tewodros Shekure, Hussien Seid Worku, Sudhir Kumar Mohapatra, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Forecasting the Utility Value of Hucul Horses by Means of Artificial Intelligence
Jadwiga Topczewska, Tadeusz Kwater
Sustainability (2020) Vol. 12, Iss. 19, pp. 7989-7989
Open Access | Times Cited: 3

Do Cows Have Fingerprints? Using Time Series Techniques and Milk Flow Profiles to Characterise Cow Milking Performance and Detect Health Issues
Changhong Jin, John Upton, Brian Mac Namee
Lecture notes in computer science (2023), pp. 230-242
Closed Access | Times Cited: 1

Effect of clinical mastitis on lactation curves of Murrah buffaloes
Shashank Kshandakar, Med Ram Verma, Yash Pal Singh, et al.
The Indian Journal of Animal Sciences (2018) Vol. 88, Iss. 5, pp. 585-592
Open Access | Times Cited: 1

Transfer Learning-Based Artificial Neural Network for Forward Kinematic Estimation of 6-DOF Robot
P. Kesaba, Bibhuti Bhusan Choudhury
International Journal of Applied Metaheuristic Computing (2022) Vol. 13, Iss. 1, pp. 1-15
Open Access | Times Cited: 1

Effect of season, lactation, parity and milk production on milk inflammatory parameters in healthy and mastitis infected Sahiwal cows
Indu Panchal, Sumit Mahajan, Jinu Manoj, et al.
The Indian Journal of Animal Sciences (2022) Vol. 92, Iss. 2, pp. 174-178
Open Access | Times Cited: 1

Neural Networks and Artificial Intelligence in Stockbreeding and Forecasting Dairy Cattle Productivity
Svetlana A. Braginets, Olga V. Galanina, Vadim S. Grachev
(2022), pp. 199-207
Closed Access | Times Cited: 1

Review on the Epidemiology, Milk Composition Changes, and Antimicrobial Susceptibility of Causative Agents of Bubaline Mastitis in Asia
Nor’Amira Mohd Amin, Md Zuki Abu Bakar, Sharina Omar, et al.
Pertanika journal of tropical agricultural science (2023) Vol. 46, Iss. 2, pp. 541-570
Open Access

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