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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:

Machine learning in nutrient management: A review
Oumnia Ennaji, Leonardus Vergütz, Achraf El Allali
Artificial Intelligence in Agriculture (2023) Vol. 9, pp. 1-11
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Machine learning in construction and demolition waste management: Progress, challenges, and future directions
Yu Gao, Jiayuan Wang, Xiaoxiao Xu
Automation in Construction (2024) Vol. 162, pp. 105380-105380
Closed Access | Times Cited: 23
Co-pyrolysis of biomass and plastic wastes and application of machine learning for modelling of the process: A comprehensive review
Deepak Bhushan, Sanjeevani Hooda, Prasenjit Mondal
Journal of the Energy Institute (2025) Vol. 119, pp. 101973-101973
Closed Access | Times Cited: 2
Artificial Intelligence-Driven Modeling for Hydrogel Three-Dimensional Printing: Computational and Experimental Cases of Study
Harbil Bediaga, Isabel Moreno, Sonia Arrasate, et al.
Polymers (2025) Vol. 17, Iss. 1, pp. 121-121
Open Access | Times Cited: 1
Revolutionizing Thrust Manufacturing
K. R. Senthilkumar
Advances in computational intelligence and robotics book series (2024), pp. 80-93
Closed Access | Times Cited: 13
PND-Net: plant nutrition deficiency and disease classification using graph convolutional network
Asish Bera, Debotosh Bhattacharjee, Ondřej Krejcar
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Green and fast prediction of crude protein contents in bee pollen based on digital images combined with Random Forest algorithm
Leandra Schuastz Breda, José Elton de Melo Nascimento, Vandressa Alves, et al.
Food Research International (2024) Vol. 179, pp. 113958-113958
Closed Access | Times Cited: 9
Sustainable AI-Driven Applications for Plant Care and Treatment
Muhammad Naveed, Nafeesa Zahid, Ibtihaj Fatima, et al.
Microorganisms for sustainability (2024), pp. 235-258
Closed Access | Times Cited: 6
Machine Learning Application in Horticulture and Prospects for Predicting Fresh Produce Losses and Waste: A Review
Ikechukwu Kingsley Opara, Umezuruike Linus Opara, Jude A. Okolie, et al.
Plants (2024) Vol. 13, Iss. 9, pp. 1200-1200
Open Access | Times Cited: 6
Utilizing machine learning approaches within concrete technology offers an intelligent perspective towards sustainability in the construction industry: a comprehensive review
Suhaib Rasool Wani, Manju Suthar
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 5
Fertigation: A Paradigm Shift in Nutrient Delivery for Sustainable Agriculture
Tamanna Sood, Seema Kapoor, Jasdeep Kaur, et al.
(2025), pp. 135-164
Closed Access
Emerging Technologies for Precision Crop Management Towards Agriculture 5.0: A Comprehensive Overview
Mohamed Farag Taha, Hanping Mao, Zhao Zhang, et al.
Agriculture (2025) Vol. 15, Iss. 6, pp. 582-582
Open Access
Machine learning framework for wastewater circular economy — Towards smarter nutrient recoveries
Allan Soo, Li Gao, Ho Kyong Shon
Desalination (2024) Vol. 592, pp. 118092-118092
Open Access | Times Cited: 4
Synergistic conservation approaches for nurturing soil, food security and human health towards sustainable development goals
P. Kannan, Mohamed Roshan Abu Firnass Mustaffa, Mahalingam Govindaraj, et al.
Journal of Hazardous Materials Advances (2024), pp. 100479-100479
Open Access | Times Cited: 4
Advanced Efficient Feature Selection Integrating Augmented Extreme Learning Machine and Particle Swarm Optimization for Predicting Nitrogen Use Efficiency and Yield in Corn
J.-D. Bontemps, Isa Ebtehaj, Gabriel Deslauriers, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 244-244
Open Access
The role of automation and robotics in transforming hydroponics and aquaponics to large scale
Milon Selvam Dennison, Pankaj Kumar, Fwangmun Wamyil, et al.
Discover Sustainability (2025) Vol. 6, Iss. 1
Open Access
Enhancing the accuracy of monitoring effective tiller counts of wheat using multi-source data and machine learning derived from consumer drones
Ziheng Feng, Jiaxiang Cai, Ke Wu, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110120-110120
Closed Access
Nutrient recovery from anaerobic digestate: Fertilizer informatics for circular economy
Katarzyna Chojnacka, Michał Chojnacki
Environmental Research (2023) Vol. 245, pp. 117953-117953
Closed Access | Times Cited: 4
Forecasting agricultures security indices: Evidence from transformers method
Bilel Ammouri
Journal of Forecasting (2024) Vol. 43, Iss. 6, pp. 1733-1746
Closed Access
Modelización integrada con aprendizaje automático para evaluar la contaminación por nutrientes en las masas de agua actual y bajo el efecto del cambio climático. Aplicación a la Demarcación Hidrográfica del Júcar
Diana Yaritza Dorado-Guerra
(2024)
Open Access
Analysis of Vine Nutrition and Productivity Based on Statistical Indicators
F. Sala, D. Camen, Mihai Valentin Herbei, et al.
Horticulturae (2024) Vol. 10, Iss. 4, pp. 397-397
Open Access
A review of potassium significance and management approaches in potato production under sandy soils
Simranpreet K. Sidhu, Lincoln Zotarelli, Lakesh K. Sharma
Journal of Sustainable Agriculture and Environment (2024) Vol. 3, Iss. 2
Open Access
Machine Learning for the estimation of foliar nitrogen content in pineapple crops using multispectral images and Internet of Things (IoT) platforms
Jorge Enrique Chaparro Mesa, José Édinson Aedo, Felipe Lumbreras
Journal of Agriculture and Food Research (2024) Vol. 18, pp. 101208-101208
Open Access
Biodegradable Cuboid Isotropic Metamaterial for Wireless Soil Monitoring
Tatsuya Yano, Wataru Tanihara, Soma Sato, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 17, pp. 27256-27264
Closed Access
Soil Analysis-Guided Expert: A Machine Learning Device for Optimized Fertilizer Selection
Robert G. de Luna, Khristel B. Biscocho, Charles Adriel A. Del Rosario, et al.
(2024), pp. 109-114
Closed Access
Innovations in Nutrient Removal and Resource Recovery Through Artificial Intelligence Techniques
Jyoti Chowdhry, Sheetal Kumari, Meenakshi Nandal
Springer water (2024), pp. 201-221
Closed Access
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