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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:

Exploring Machine Learning Models for Soil Nutrient Properties Prediction: A Systematic Review
Olusegun Folorunso, Oluwafolake Ojo, Mutiu Abolanle Busari, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 2, pp. 113-113
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Towards sustainable agriculture: Harnessing AI for global food security
Dhananjay K. Pandey, Richa Mishra
Artificial Intelligence in Agriculture (2024) Vol. 12, pp. 72-84
Open Access | Times Cited: 31
Artificial Intelligence in Environmental Monitoring: Advancements, Challenges, and Future Directions
David B. Olawade, Ojima Z. Wada, Abimbola O. Ige, et al.
Hygiene and Environmental Health Advances (2024), pp. 100114-100114
Open Access | Times Cited: 13
Soil Loss Estimation by Water Erosion in Agricultural Areas Introducing Artificial Intelligence Geospatial Layers into the RUSLE Model
Nikiforos Samarinas, Nikolaos Tsakiridis, Eleni Kalopesa, et al.
Land (2024) Vol. 13, Iss. 2, pp. 174-174
Open Access | Times Cited: 9
Avoiding basic mistakes when programming the use of artificial intelligence in soil and environmental science research
Avelino Núñez‐Delgado
The Science of The Total Environment (2024) Vol. 934, pp. 173310-173310
Closed Access | Times Cited: 5
Trends of Soil and Solution Nutrient Sensing for Open Field and Hydroponic Cultivation in Facilitated Smart Agriculture
Md Nasim Reza, Kyu‐Ho Lee, Md Rejaul Karim, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 453-453
Open Access
Artificial intelligence in soil microbiome analysis: a potential application in predicting and enhancing soil health—a review
Roberta Pace, Vincenzo Schiano Di Cola, Maurilia Maria Monti, et al.
Deleted Journal (2025) Vol. 7, Iss. 2
Open Access
Counterfactual Based Approaches for Feature Attributions of Stress Factors Affecting Rice Yield
Nisha P. Shetty, Balachandra Muniyal, Ketavarapu Sriyans, et al.
Engineering Reports (2025) Vol. 7, Iss. 1
Open Access
Spatial modeling of soil chemical properties in an arid region of Central Iran using machine learning and remote sensing data
Azita Molaeinasab, Mostafa Tarkesh, Hossein Bashari, et al.
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 2
Closed Access
Detecting Changes in Soil Fertility Properties Using Multispectral UAV Images and Machine Learning in Central Peru
Lucia Enriquez, Kevin Abner Ortega Quispe, Dennis Ccopi-Trucios, et al.
AgriEngineering (2025) Vol. 7, Iss. 3, pp. 70-70
Open Access
Applications of machine learning and deep learning in agriculture: A comprehensive review
Muhammad Waqas, Adila Naseem, Usa Wannasingha Humphries, et al.
Green Technologies and Sustainability (2025), pp. 100199-100199
Open Access
Conventional to Modern Methods of Soil NPK Sensing: A Review
Sneha Dattatreya, Abdul Naim Khan, K. Jena, et al.
IEEE Sensors Journal (2023) Vol. 24, Iss. 3, pp. 2367-2380
Closed Access | Times Cited: 7
Soil Sampling Map Optimization with a Dual Deep Learning Framework
Tan-Hanh Pham, Kim‐Doang Nguyen
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 2, pp. 751-769
Open Access | Times Cited: 2
GeoRF: a geospatial random forest
Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 6, pp. 3414-3448
Closed Access | Times Cited: 2
Emerging Technologies for Sustainable Agriculture: The Power of Humans and the Way Ahead
Malamati Louta, Konstantina Banti, Ioanna Karampelia
IEEE Access (2024) Vol. 12, pp. 98492-98529
Open Access | Times Cited: 2
Farmers’ Perception and Practice of Soil Fertility Management and Conservation in the Era of Digital Soil Information Systems in Southwest Nigeria
Sakiru Oladele Akinbode, Olusegun Folorunso, Taiwo Samson Olutoberu, et al.
Agriculture (2024) Vol. 14, Iss. 7, pp. 1182-1182
Open Access | Times Cited: 2
A machine learning based approach for prediction and interpretation of soil properties from soil spectral data
A. Divya, R. Josphineleela, L. Jaba Sheela
Journal of Environmental Biology (2024) Vol. 45, Iss. 1, pp. 96-105
Open Access | Times Cited: 1
Application of nanotechnology in agriculture
Maryam Zahedifar
Elsevier eBooks (2024), pp. 597-612
Closed Access | Times Cited: 1
Innovative graph neural network approach for predicting soil heavy metal pollution in the Pearl River Basin, China
Yannan Zha, Yang Yao
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Changing the Sugarcane N Credit and C Fluxes in Soil by the Application of N-Enhanced Efficiency Fertilizers
Risely Ferraz‐Almeida, Nátalia Lopes, Raquel Pinheiro da Mota, et al.
Compost Science & Utilization (2024) Vol. 31, Iss. 3-4, pp. 133-143
Closed Access | Times Cited: 1
Exploring machine learning models to predict the unfrozen water content in copper-contaminated clays
Edyta Nartowska, Parveen Sihag
Cold Regions Science and Technology (2024) Vol. 227, pp. 104296-104296
Closed Access | Times Cited: 1
Machine Learning Ensemble Classifiers for Feature Selection in Rice Cultivars
Chandrakumar Thangavel, Dhinakaran Sakthipriya
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 1
Estimation of Physico-Chemical Properties of Soil Using Machine Learning
Patience Chizoba, Opegbemi Matthias Busoye, John Temitope Ajayi, et al.
Smart Agricultural Technology (2024), pp. 100679-100679
Open Access | Times Cited: 1
Deep Learning-Based Soil Nutrient Content Prediction for Crop Yield Estimation
Iti Sharma, Nimish Kumar, Himanshu Verma
Advances in electronic government, digital divide, and regional development book series (2024), pp. 85-111
Closed Access
Exploring big data innovations in food and agriculture research: An in-depth analysis
Gangadhara Doggalli, Suvidha P Kulkarni, Soumya C Meti, et al.
International Journal of Research in Agronomy (2024) Vol. 7, Iss. 3S, pp. 330-336
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
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