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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:

Enhancing Smart Agriculture by Implementing Digital Twins: A Comprehensive Review
Nikolaos Peladarinos, Dimitrios Piromalis, Vasileios Cheimaras, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7128-7128
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

The Future of Food
Charis M. Galanakis
Foods (2024) Vol. 13, Iss. 4, pp. 506-506
Open Access | Times Cited: 48
Digital Twins in Agriculture: Orchestration and Applications
Marc Escribà‐Gelonch, Shu Liang, Pieter van Schalkwyk, et al.
Journal of Agricultural and Food Chemistry (2024) Vol. 72, Iss. 19, pp. 10737-10752
Open Access | Times Cited: 14
Leveraging cognitive digital twins in industry 5.0 for achieving sustainable development goal 9: An exploration of inclusive and sustainable industrialization strategies
Rishabh Sharma, Himanshu Gupta
Journal of Cleaner Production (2024) Vol. 448, pp. 141364-141364
Closed Access | Times Cited: 11
An agricultural digital twin for mandarins demonstrates the potential for individualized agriculture
Steven Kim, Seong Heo
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 10
Digital Twins in Agriculture and Forestry: A Review
Aristotelis C. Tagarakis, Lefteris Benos, George Kyriakarakos, et al.
Sensors (2024) Vol. 24, Iss. 10, pp. 3117-3117
Open Access | Times Cited: 9
A Digital Twin Framework to Improve Urban Sustainability and Resiliency: The Case Study of Venice
Lorenzo Villani, Luca Gugliermetti, Maria Antonia Barucco, et al.
Land (2025) Vol. 14, Iss. 1, pp. 83-83
Open Access
Climatic Condition–Based Comparative Study of Deep Learning Models for Yield Forecasting in Smart Agriculture
Jyoti Dhanke, Sachin Dadu Khandekar, Roop Raj, et al.
Remote Sensing in Earth Systems Sciences (2025)
Closed Access
Digital Twin-Based Applications in Crop Monitoring
Tsega Y. Melesse
Heliyon (2025) Vol. 11, Iss. 2, pp. e42137-e42137
Open Access
Digital Twin Technology for Aquaculture Systems Simulation
Bejawada Chanikya Naidu, M Sahana, Muzammal Hoque, et al.
(2025), pp. 167-182
Closed Access
Application and enabling digital twin technologies in the operation and maintenance stage of the AEC industry: A literature review
Anshan Zhang, Jian Yang, Feiliang Wang
Journal of Building Engineering (2023) Vol. 80, pp. 107859-107859
Closed Access | Times Cited: 18
Harnessing Digital Twins for Agriculture 5.0: A Comparative Analysis of 3D Point Cloud Tools
Paula Catala-Roman, Enrique A. Navarro, Jaume Segura-García, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 1709-1709
Open Access | Times Cited: 5
Digital Twins in Agriculture: A Review of Recent Progress and Open Issues
Wang Li
Electronics (2024) Vol. 13, Iss. 11, pp. 2209-2209
Open Access | Times Cited: 5
Proposed Fuzzy-Stranded-Neural Network Model That Utilizes IoT Plant-Level Sensory Monitoring and Distributed Services for the Early Detection of Downy Mildew in Viticulture
Sotirios Kontogiannis, Stéfanos Koundouras, Christos Pikridas
Computers (2024) Vol. 13, Iss. 3, pp. 63-63
Open Access | Times Cited: 3
A Cloud-Based Deep Learning Framework for Downy Mildew Detection in Viticulture Using Real-Time Image Acquisition from Embedded Devices and Drones
Sotirios Kontogiannis, Myrto Konstantinidou, Vasileios Tsioukas, et al.
Information (2024) Vol. 15, Iss. 4, pp. 178-178
Open Access | Times Cited: 3
Advancing Agriculture: Harnessing Smart Nanoparticles for Precision Fertilization
Asma Munir, Muhammad Ali Salah, Mazher Ali, et al.
BioNanoScience (2024) Vol. 14, Iss. 4, pp. 3846-3863
Closed Access | Times Cited: 3
Digital Twin for Aquaponics Factory: Analysis, Opportunities, and Research Challenges
Ling Xu, Huihui Yu, Hanxiang Qin, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 4, pp. 5060-5073
Closed Access | Times Cited: 9
Design and simulation of a greenhouse in a computational environment (ANSYS/FLUENT) and an automatic control system in a LABVIEW environment
Angeliki Kavga, Vasileios Thomopoulos, Evangelos Pischinas, et al.
Simulation Modelling Practice and Theory (2023) Vol. 129, pp. 102837-102837
Closed Access | Times Cited: 9
A comprehensive examination of security and privacy in precision agriculture technologies
Pauline A. Ongadi
GSC Advanced Research and Reviews (2024) Vol. 18, Iss. 1, pp. 336-363
Open Access | Times Cited: 2
The Effectiveness of a Digital Twin Learning System in Assisting Engineering Education Courses: A Case of Landscape Architecture
Jie Zhang, Jingdong Zhu, Weiwei Tu, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6484-6484
Open Access | Times Cited: 2
Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture
Georg Goldenits, Kevin Mallinger, Sebastian Raubitzek, et al.
Smart Agricultural Technology (2024) Vol. 8, pp. 100512-100512
Open Access | Times Cited: 2
Beehive Smart Detector Device for the Detection of Critical Conditions That Utilize Edge Device Computations and Deep Learning Inferences
Sotirios Kontogiannis
Sensors (2024) Vol. 24, Iss. 16, pp. 5444-5444
Open Access | Times Cited: 1
Revolutionising agriculture for food security and environmental sustainability: A perspective on the role of digital twin technology
Divine Senanu Ametefe, Norhayati Hussin, Dah John, et al.
CABI Reviews (2024)
Closed Access | Times Cited: 1
Design and Implementation of an IoT- Based Weather Monitoring System forEnhanced Chicken Farm
Md. Muntasir Mahmud, Md. Fazle Rabbi Sweet, Tasnim Fateha, et al.
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 2672-2677
Open Access | Times Cited: 1
Application of LiDAR Sensors for Crop and Working Environment Recognition in Agriculture: A Review
Md Rejaul Karim, Md Nasim Reza, Hongbin Jin, et al.
Remote Sensing (2024) Vol. 16, Iss. 24, pp. 4623-4623
Open Access | Times Cited: 1
A New Remote Sensing Service Mode for Agricultural Production and Management Based on Satellite–Air–Ground Spatiotemporal Monitoring
Wenjie Li, Wen Dong, Xin Zhang, et al.
Agriculture (2023) Vol. 13, Iss. 11, pp. 2063-2063
Open Access | Times Cited: 2
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