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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:

A Virtual Soil Moisture Sensor for Smart Farming Using Deep Learning
Gabriele Patrizi, Alessandro Bartolini, Lorenzo Ciani, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Recent Advancements and Challenges of AIoT Application in Smart Agriculture: A Review
Hasyiya Karimah Adli, Muhammad Akmal Remli, Khairul Nizar Syazwan Wan Salihin Wong, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3752-3752
Open Access | Times Cited: 65
Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey
Md. Najmul Mowla, Neazmul Mowla, A. F. M. Shahen Shah, et al.
IEEE Access (2023) Vol. 11, pp. 145813-145852
Open Access | Times Cited: 55
A Survey of AI Techniques in IoT Applications with Use Case Investigations in the Smart Environmental Monitoring and Analytics in Real-Time IoT Platform
Yohanes Yohanie Fridelin Panduman, Nobuo Funabiki, Evianita Dewi Fajrianti, et al.
Information (2024) Vol. 15, Iss. 3, pp. 153-153
Open Access | Times Cited: 12
A Novel Methodology for Unsupervised Anomaly Detection in Industrial Electrical Systems
Marco Carratù, Vincenzo Gallo, Salvatore Dello Iacono, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Open Access | Times Cited: 19
IoT Aware Smart Agriculture Using Extreme Learning Classifier Based Predictive Analytics in a Cloud Environment
R. Sangeetha, N Girubagari, M. Ellakkiya
Journal of Scientific Research (2025) Vol. 17, Iss. 1, pp. 71-85
Open Access
A Novel Intelligence System for Hybrid Crop Suitable Landform Prediction Using Machine Learning Techniques and IoT
Senthil G. A, R. Prabha, S. Sridevi, et al.
Algorithms for intelligent systems (2024), pp. 1-17
Closed Access | Times Cited: 4
Review of low-cost, off-grid, biodegradable in situ autonomous soil moisture sensing systems: Is there a perfect solution?
Sumit Meshram, Soham Adla, Ludovic Jourdin, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109289-109289
Open Access | Times Cited: 4
Smart Wireless Sensor Networks with Virtual Sensors for Forest Fire Evolution Prediction Using Machine Learning
Ahshanul Haque, Hamdy Soliman
Electronics (2025) Vol. 14, Iss. 2, pp. 223-223
Open Access
IoT-Based Smart Farming Architecture Using Federated Learning: a Nitrous Oxide Emission Prediction Use Case
Patrick Killeen, Ci Lin, Futong Li, et al.
ACM Journal on Computing and Sustainable Societies (2025)
Closed 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
Automated hydroponic nutrient control system for smart agriculture
Ambidi Naveena, Shaik Nannu Saheb, Ratnababu Mamidi, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 33, Iss. 2, pp. 839-839
Open Access | Times Cited: 3
Enhancing agricultural automation through weather invariant soil parameter prediction using machine learning
Monisha Mushtary Uttsha, A. K. M. Nadimul Haque, Tahsin Tariq Banna, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28626-e28626
Open Access | Times Cited: 3
IoT-based prediction and classification framework for smart farming using adaptive multi-scale deep networks
B Padmavathi, A. Bhagyalakshmi, G. Vishnupriya, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124318-124318
Closed Access | Times Cited: 2
Applications of Artificial Intelligence in Precision Irrigation
Ahmed Elshaikh, Elsiddig A. E. Elsheikh, Jamal Mabrouki
Journal of Environmental & Earth Sciences (2024) Vol. 6, Iss. 2, pp. 176-186
Open Access | Times Cited: 2
Smart Agriculture System based on Internet of Things using Kernel K-Means with Support Vector Machine
Junhong Zhong, Qi Lai
(2024), pp. 1-4
Closed Access | Times Cited: 2
A multi-model deep learning approach to address prediction imbalances in smart greenhouses
Juan Morales-García, Fernando Terroso‐Saenz, José M. Cecilia
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108537-108537
Closed Access | Times Cited: 6
Disease Detection using Region-Based Convolutional Neural Network and ResNet
V. Sushma Sri, V. Hima Sailu, U. Pradeepthi, et al.
Data & Metadata (2023) Vol. 2, pp. 135-135
Open Access | Times Cited: 4
Forecasting Soil Moisture Using PSO-CNN - LSTM Model
Guoyuan Zhou, Guoliang Li
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-7
Closed Access | Times Cited: 1
GCP: A multi-strategy improved wireless sensor network model for environmental monitoring
Jun Wang, Ning Wang, Haoju Wang, et al.
Computer Networks (2024) Vol. 254, pp. 110807-110807
Closed Access | Times Cited: 1
CROP: Cluster-Based Routing Using Optimized Framework for IoT-Based Precision Agriculture
Sandeep Verma, Satnam Kaur, Aneek Adhya, et al.
ICC 2022 - IEEE International Conference on Communications (2023)
Closed Access | Times Cited: 3
Comparative performance analysis between two different generations of an automatic milking system
Maria Verde, Roberta Matera, Francesco Bonavolontà, et al.
ACTA IMEKO (2023) Vol. 12, Iss. 4, pp. 1-6
Open Access | Times Cited: 3
An LSTM based soft sensor for rear motorcycle suspension
Marco Carratù, Vincenzo Gallo, Antonio Pietrosanto, et al.
(2023), pp. 62-66
Closed Access | Times Cited: 2
Anomaly Detection on Industrial Electrical Systems using Deep Learning
Marco Carratù, Vincenzo Gallo, Antonio Pietrosanto, et al.
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2023), pp. 1-6
Closed Access | Times Cited: 2
Soil Volumetric Water Content Measurement Based on LoRa RSSI and UAV
Jie Zhang, Jiabao Yang, Yi Yang, et al.
(2023), pp. 1386-1390
Closed Access | Times Cited: 2
Advanced Soft-Sensor Systems for Process Monitoring, Control, Optimisation, and Fault Diagnosis
Yuri A.W. Shardt, Kevin Brooks, Xu Yang, et al.
IFAC-PapersOnLine (2023) Vol. 56, Iss. 2, pp. 11768-11777
Open Access | Times Cited: 2
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