Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 and Food Security: Insights for Agricultural Spatial Planning in the Context of Agriculture 4.0
Vítor João Pereira Domingues Martinho, Carlos Cunha, Maria Lúcia Pato, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11828-11828
Open Access | Times Cited: 15

Showing 15 citing articles:

AgriSecure: A Fog Computing-Based Security Framework for Agriculture 4.0 via Blockchain
Sasmita Padhy, Majed Alowaidi, Sachikanta Dash, et al.
Processes (2023) Vol. 11, Iss. 3, pp. 757-757
Open Access | Times Cited: 34
Change Management in Agriculture 4.0: SAP-LAP Model in Support of Sustainable Development and Food Security
Aktam U. Burkhanov, Anastasia A. Sozinova, Yuliya Tyurina, et al.
Global Journal of Flexible Systems Management (2024) Vol. 25, Iss. S1, pp. 61-78
Closed Access | Times Cited: 7
Forest 4.0: Technologies and digitalization to create the residual biomass supply chain of the future
Tiago Bastos, Leonor Teixeira, Leonel J. R. Nunes
Journal of Cleaner Production (2024) Vol. 467, pp. 143041-143041
Open Access | Times Cited: 6
Integrated Service Architecture to Promote the Circular Economy in Agriculture 4.0
Walter Augusto Varella, Geraldo Cardoso de Oliveira Neto, Eduardo Stefani, et al.
Sustainability (2024) Vol. 16, Iss. 6, pp. 2535-2535
Open Access | Times Cited: 5
Integrating UAV‐based multispectral remote sensing and machine learning for detection and classification of chocolate spot disease in faba bean
Shirin Mohammadi, Anne Kjersti Uhlen, Heidi Udnes Aamot, et al.
Crop Science (2025) Vol. 65, Iss. 1
Closed Access
Unveiling the Potential of Explainable Artificial Intelligence in Predictive Modeling, Exploring Food Security and Nutrition in Madagascar
Rosa Elysabeth Ralinirina, Jean Christian Ralaivao, Niaiko Michaël Ralaivao, et al.
Communications in computer and information science (2025), pp. 30-43
Closed Access
Geopolitical deadlock and phosphate shortfall behind the price hike? Evidence from Moroccan commodity markets
Marek Vochоzka, Svatopluk Janek, Lenka Širáňová
Agricultural Economics (Zemědělská ekonomika) (2023) Vol. 69, Iss. 8, pp. 301-308
Open Access | Times Cited: 8
Exploring the Integration of Industry 4.0 Technologies in Agriculture: A Comprehensive Bibliometric Review
Benedetta Fasciolo, Luigi Panza, Franco Lombardi
Sustainability (2024) Vol. 16, Iss. 20, pp. 8948-8948
Open Access | Times Cited: 2
Fertiliser cost prediction in European Union farms: Machine-learning approaches through artificial neural networks
Vítor João Pereira Domingues Martinho
Open Agriculture (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 3
Bibliometric Computation Mapping Analysis of Publication Machine and Deep Learning for Food Crops Mapping using VOSviewer
Riki Ridwana, Muhammad Kamal, Sanjiwana Arjasakusuma, et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology (2024) Vol. 50, Iss. 2, pp. 42-59
Open Access
A machine learning approach to map the potential agroecological complexity in an indigenous community of Colombia
Cintya Katherine Ojeda Riaños, Carlos Alberto Torres, Juan Camilo Zapata Calero, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122655-122655
Closed Access
An Industry 4.0 Oriented Predictive Maintenance Solution Deployed in Real-World Automotive Manufacturing Facilities
Andrei Nicolae, Camelia Burlacu, Andrei Stanciu, et al.
(2023) Vol. 9, pp. 99-104
Closed Access | Times Cited: 1
A Systematic Review of the Impacts on Agriculture of the Russia-Ukraine Scenario

Practice, progress, and proficiency in sustainability (2023), pp. 22-47
Closed Access
Insights From the Literature on COVID-19 and the Agricultural Sector

Practice, progress, and proficiency in sustainability (2023), pp. 1-21
Closed Access
Machine and Deep Learning: Their Roles in the Context of the Economic Growth Processes and Sustainability Assessment
Vítor João Pereira Domingues Martinho
SpringerBriefs in applied sciences and technology (2023), pp. 119-131
Closed Access
Page 1

Scroll to top