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:

Forecasting transitions in the state of food security with machine learning using transferable features
Joris J.L. Westerveld, Marc van den Homberg, Gabriela Guimarães Nobre, et al.
The Science of The Total Environment (2021) Vol. 786, pp. 147366-147366
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Highlighting the role of agriculture and geospatial technology in food security and sustainable development goals
Prem Chandra Pandey, Manish Pandey
Sustainable Development (2023) Vol. 31, Iss. 5, pp. 3175-3195
Closed Access | Times Cited: 68
An integrated approach of remote sensing and geospatial analysis for modeling and predicting the impacts of climate change on food security
Mohammad Kazemi Garajeh, Behnam Salmani, Saeid Zare Naghadehi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 47
Machine learning can guide food security efforts when primary data are not available
Giulia Martini, Alberto Bracci, Lorenzo Riches, et al.
Nature Food (2022) Vol. 3, Iss. 9, pp. 716-728
Open Access | Times Cited: 56
Forecasting disruptions in global food value chains to tackle food insecurity: The role of AI and big data analytics – A bibliometric and scientometric analysis
Phemelo Tamasiga, El houssin Ouassou, Helen Onyeaka, et al.
Journal of Agriculture and Food Research (2023) Vol. 14, pp. 100819-100819
Open Access | Times Cited: 36
On the forecastability of food insecurity
Pietro Foini, Michele Tizzoni, Giulia Martini, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 22
Application of multispectral imaging combined with machine learning models to discriminate special and traditional green coffee
Winston Pinheiro Claro Gomes, Luís Gonçalves, Clíssia Barboza da Silva, et al.
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107097-107097
Closed Access | Times Cited: 28
An ensemble interval prediction model with change point detection and interval perturbation-based adjustment strategy: A case study of air quality
Feng Jiang, Qiannan Zhu, Tianhai Tian
Expert Systems with Applications (2023) Vol. 222, pp. 119823-119823
Closed Access | Times Cited: 16
Unveiling the Nutrient Signatures in Corn (Zea mays L.) Grains: A Pivotal Indicator of Yield Potential
Nour Ismail, Lotfi Khiari, Rachid Daoud
Agronomy (2025) Vol. 15, Iss. 3, pp. 597-597
Open Access
Building Food Security Resilience in Ukraine: The Autoregressive Approach to Food Price Forecasting
Larysa Zomchak, Tetiana Kukhotska
Studies in systems, decision and control (2025), pp. 403-424
Closed Access
From indices to impacts using environmental and socio-economic clustering in Kenya
Rhoda A. Odongo, Hans de Moel, Marthe Wens, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102269-102269
Closed Access
Impact-based seasonal rainfall forecasting to trigger early action for droughts
Tim Busker, Hans de Moel, Bart van den Hurk, et al.
The Science of The Total Environment (2023) Vol. 898, pp. 165506-165506
Open Access | Times Cited: 12
Identification of factors associated with acute malnutrition in children under 5 years and forecasting future prevalence: assessing the potential of statistical and machine learning methods
Meike Reusken, Christopher S. Coffey, Frans Cruijssen, et al.
BMJ Public Health (2025) Vol. 3, Iss. 1, pp. e001460-e001460
Open Access
Probabilistic forecasting of remotely sensed cropland vegetation health and its relevance for food security
Ahmed T. Hammad, Giacomo Falchetta
The Science of The Total Environment (2022) Vol. 838, pp. 156157-156157
Open Access | Times Cited: 19
Predicting Food‐Security Crises in the Horn of Africa Using Machine Learning
Tim Busker, Bart van den Hurk, Hans de Moel, et al.
Earth s Future (2024) Vol. 12, Iss. 8
Open Access | Times Cited: 3
Managing the Energy Transition through Discourse. The Case of Poland
Joanna Krzywda, Dariusz Krzywda, Armenia Androniceanu
Energies (2021) Vol. 14, Iss. 20, pp. 6471-6471
Open Access | Times Cited: 17
Charging Scheduling of Hybrid Energy Storage Systems for EV Charging Stations
Gülsah Erdogan, Wiem Fekih Hassen
Energies (2023) Vol. 16, Iss. 18, pp. 6656-6656
Open Access | Times Cited: 6
Do Livelihood Strategies Affect the Livelihood Resilience of Farm Households in Flooded Areas? Evidence From Hubei Province, China
Xin Luo, Chongmei Zhang, Jiahao Song, et al.
Frontiers in Ecology and Evolution (2022) Vol. 10
Open Access | Times Cited: 10
Rice Yield Forecasting: A Comparative Analysis of Multiple Machine Learning Algorithms
Eli Adama Jiya, Umar Illiyasu, Akinyemi Mudashiru
Journal of Information Systems and Informatics (2023) Vol. 5, Iss. 2, pp. 785-799
Open Access | Times Cited: 5
Climate Change and Food Security Management–based Urban Health Care Systems Using Artificial Intelligence Techniques
Vijaya Kumar Koppula, M. Birundadevi, K. Ramprathap, et al.
Remote Sensing in Earth Systems Sciences (2024)
Closed Access | Times Cited: 1
Geospatial and Machine Learning Regression Techniques for Analyzing Food Access Impact on Health Issues in Sustainable Communities
Abrar Almalki, Balakrishna Gokaraju, Nikhil Mehta, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 11, pp. 745-745
Open Access | Times Cited: 9
Forecasting the prevalence of child acute malnutrition using environmental and conflict conditions as leading indicators
David Backer, Trey Billing
World Development (2023) Vol. 176, pp. 106484-106484
Open Access | Times Cited: 3
A Comparison of Machine Learning and Deep Learning Models for Predicting Household Food Security Status
Mersha Nigus, H. L. Shashirekha
International Journal of Electrical and Electronics Research (2022) Vol. 10, Iss. 2, pp. 308-311
Open Access | Times Cited: 4
Analysis and forecast of donations at domestic hunger relief organizations impacted by natural disasters
Eduardo Pérez, Yash V. Marthak, Francis A. Méndez Mediavilla
Socio-Economic Planning Sciences (2022) Vol. 86, pp. 101470-101470
Open Access | Times Cited: 4
Validity of household survey indicators to monitor food security in time and space: Burkina Faso case study
Hugo Deléglise, Yves Gérard Bazié, Agnès Bégué, et al.
Agriculture & Food Security (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Nowcasting for hunger relief: a study of promise and perils
Wayne Wobcke, Caroline Compton, Fleur Johns, et al.
Information Technology for Development (2022) Vol. 29, Iss. 1, pp. 27-47
Closed Access | Times Cited: 3
Page 1 - Next Page

Scroll to top