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:

Development of a Digital Twin for smart farming: Irrigation management system for water saving
Rafael Gomes Alves, Rodrigo Filev Maia, Fábio Lima
Journal of Cleaner Production (2023) Vol. 388, pp. 135920-135920
Closed Access | Times Cited: 71

Showing 51-75 of 71 citing articles:

FPGA-Based Digital Twin Implementation for Mechatronic System Monitoring
Justus Nwoke, Marco Milanesi, Jairo Viola, et al.
2022 4th International Conference on Industrial Artificial Intelligence (IAI) (2023), pp. 1-6
Closed Access | Times Cited: 3

Smart Fruit Growing Through Digital Twin Paradigm: Systematic Review and Technology Gap Analysis
Ilmārs Apeināns, Lienīte Litavniece, Sergejs Kodors, et al.
Engineering Management in Production and Services (2023) Vol. 15, Iss. 4, pp. 128-143
Open Access | Times Cited: 3

Application of Digital Twin in the Industry of Axial Hollow-Wall Pipes
Zeyuan Guo, Shaowei Hu, Wencan Jin, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8093-8093
Open Access | Times Cited: 2

Design and Implementation of Farmer Digital Twin Control in Smart Farming
Grathya Sri Mulyani, Yudhi Adhitya, Mario Köppen
Lecture notes on data engineering and communications technologies (2023), pp. 516-527
Closed Access | Times Cited: 2

Digital Twin for Regional Water Consumption Simulation and Forecasting
Matheus Castilho Galvão, Pedro Rici, Rui Pedro Lopes
Communications in computer and information science (2024), pp. 333-346
Closed Access

Optimization of sprinkler irrigation scheduling scenarios for reducing irrigation energy consumption
Yiyuan Pang, Pan Tang, Hong Li, et al.
Irrigation and Drainage (2024)
Closed Access

Control Valve Discharge Prediction Using Multiple Linear Regression for Smart Precision Farming
Sri Ayu Andayani, Debi Novita Siregar, Taufik Taufik, et al.
(2024), pp. 1-5
Closed Access

Research and Application of Digital Twin in the Field of Hydropower Stations
Wei Zhang, Limiao Xie, Wei Zhang, et al.
2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) (2024), pp. 1216-1221
Closed Access

Machine Learning for Smart Irrigation in Agriculture: How Far along Are We?
Marco Del Coco, Marco Leo, Pierluigi Carcagnì
Information (2024) Vol. 15, Iss. 6, pp. 306-306
Open Access

A Multi-Farm Irrigation Scheduling System (MISS) for Arid and Semi-Arid Regions: A Realistic Scenario
Dalhatu Muhammed, Ehsan Ahvar, Shohreh Ahvar, et al.
2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2024), pp. 1-5
Closed Access

An Intelligent and Trust‐Enabled Farming Systems With Blockchain and Digital Twins on Mobile Edge Computing
Geetanjali Rathee, Hemraj Saini, Selvaraj Praveen Chakkravarthy, et al.
International Journal of Network Management (2024) Vol. 35, Iss. 1
Closed Access

Implementation of Smart Irrigation Systems
Jabar H. Yousif, Ghassan Al‐Kindi, Ahmad K. Kayed, et al.
(2024), pp. 329-350
Closed Access

Smart Farming or Digital Agriculture
Victoria Slettli
Elsevier eBooks (2024)
Closed Access

Quantification of irrigation water transport processes in ZiZiphus jujuba garden using water stable isotopes
Xiaofei Zhong, Mingjun Zhang, Cunwei Che, et al.
Journal of Mountain Science (2024)
Closed Access

The Impact of Digital Technology on Water Resources Management: Evidence from China
Xiaochun Zhao, Danjie Yang, Ying Zhou
Water (2024) Vol. 16, Iss. 19, pp. 2867-2867
Open Access

Digital Twins-enabled model for Smart Farming
Dipti Chauhan, Pritika Bahad, Riyanka Jain
Elsevier eBooks (2024), pp. 465-487
Closed Access

Machine Learning Based Peach Leaf Temperature Prediction Model for Measuring Water Stress
Heetae Kim, Minyoung Kim, Youngjin Kim, et al.
Water (2024) Vol. 16, Iss. 21, pp. 3157-3157
Open Access

Unmanned aerial system and machine learning driven Digital-Twin framework for in-season cotton growth forecasting
Pankaj Pal, Juan Landivar-Bowles, Jose Landivar, et al.
Computers and Electronics in Agriculture (2024) Vol. 228, pp. 109589-109589
Closed Access

Fuzzy Methods in Smart Farming: A Systematic Review
Irawan Widi Widayat, Andi Arniaty Arsyad, Aprinaldi Jasa Mantau, et al.
Informatica (2024), pp. 1-37
Closed Access

Digital Twin for Industrial Applications – A Literature Review
Rashmi Joshi, Surbhi Gulati, Arpan Kumar Kar
IFIP advances in information and communication technology (2023), pp. 92-103
Closed Access | Times Cited: 1

Perceptions of facilitators towards adoption of AI-based solutions for sustainable agriculture
Amit Sood, Amit Kumar Bhardwaj, Rajendra Kumar Sharma
Journal of Decision System (2023), pp. 1-35
Closed Access | Times Cited: 1

Enhancing Cyclone Intensity Prediction for Smart Cities Using a Deep-Learning Approach for Accurate Prediction
Senthil Kumar Jayaraman, V. Venkatachalam, Marwa M. Eid, et al.
Atmosphere (2023) Vol. 14, Iss. 10, pp. 1567-1567
Open Access

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