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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:

Digital twins in smart farming
C.N. Verdouw, Bedir Teki̇nerdoğan, Adrie Beulens, et al.
Agricultural Systems (2021) Vol. 189, pp. 103046-103046
Open Access | Times Cited: 407

Showing 1-25 of 407 citing articles:

The digitization of agricultural industry – a systematic literature review on agriculture 4.0
Rabiya Abbasi, Pablo Martı́nez, Rafiq Ahmad
Smart Agricultural Technology (2022) Vol. 2, pp. 100042-100042
Open Access | Times Cited: 315
Digital Twin: Benefits, use cases, challenges, and opportunities
Mohsen Attaran, Bilge Gokhan Çelik
Decision Analytics Journal (2023) Vol. 6, pp. 100165-100165
Open Access | Times Cited: 287
Digital transformation of agriculture and rural areas: A socio-cyber-physical system framework to support responsibilisation
Kelly Rijswijk, Laurens Klerkx, Manlio Bacco, et al.
Journal of Rural Studies (2021) Vol. 85, pp. 79-90
Open Access | Times Cited: 248
Toward the Next Generation of Digitalization in Agriculture Based on Digital Twin Paradigm
Abozar Nasirahmadi, Oliver Hensel
Sensors (2022) Vol. 22, Iss. 2, pp. 498-498
Open Access | Times Cited: 192
A systematic review of digital twin about physical entities, virtual models, twin data, and applications
Xin Liu, Du Jiang, Bo Tao, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101876-101876
Closed Access | Times Cited: 172
Digital Twins in Agriculture: A State-of-the-art review
Warren Purcell, Thomas Neubauer
Smart Agricultural Technology (2022) Vol. 3, pp. 100094-100094
Open Access | Times Cited: 154
Exploring the role of green and Industry 4.0 technologies in achieving sustainable development goals in food sectors
Abdo Hassoun, Miguel A. Prieto, María Carpena, et al.
Food Research International (2022) Vol. 162, pp. 112068-112068
Closed Access | Times Cited: 154
Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review
Katja Berger, Miriam Machwitz, Marlena Kycko, et al.
Remote Sensing of Environment (2022) Vol. 280, pp. 113198-113198
Open Access | Times Cited: 140
The adoption of urban digital twins
Jaume Ferré-Bigorra, Miquel Casals, Marta Gangolells
Cities (2022) Vol. 131, pp. 103905-103905
Open Access | Times Cited: 134
Digital Twins in Livestock Farming
Suresh Neethirajan, B. Kemp
Animals (2021) Vol. 11, Iss. 4, pp. 1008-1008
Open Access | Times Cited: 116
ESG and Industry 5.0: The role of technologies in enhancing ESG disclosure
Muhammad Asif, Cory Searcy, Pavel Castka
Technological Forecasting and Social Change (2023) Vol. 195, pp. 122806-122806
Closed Access | Times Cited: 101
Industrial digital twins at the nexus of NextG wireless networks and computational intelligence: A survey
Shah Zeb, Aamir Mahmood, Syed Ali Hassan, et al.
Journal of Network and Computer Applications (2022) Vol. 200, pp. 103309-103309
Open Access | Times Cited: 89
Perceived risks and vulnerabilities of employing digitalization and digital data in agriculture – Socially robust orientations from a transdisciplinary process
Jana Zscheischler, Reiner Brunsch, Sebastian Rogga, et al.
Journal of Cleaner Production (2022) Vol. 358, pp. 132034-132034
Open Access | Times Cited: 83
Digital Twins in greenhouse horticulture: A review
Natasja Ariesen-Verschuur, C.N. Verdouw, Bedir Teki̇nerdoğan
Computers and Electronics in Agriculture (2022) Vol. 199, pp. 107183-107183
Open Access | Times Cited: 83
Towards automation of in-season crop type mapping using spatiotemporal crop information and remote sensing data
Chen Zhang, Liping Di, Li Lin, et al.
Agricultural Systems (2022) Vol. 201, pp. 103462-103462
Open Access | Times Cited: 78
Agriculture 5.0: A New Strategic Management Mode for a Cut Cost and an Energy Efficient Agriculture Sector
Konstantina Ragazou, Alexandros Garefalakis, Eleni Zafeiriou, et al.
Energies (2022) Vol. 15, Iss. 9, pp. 3113-3113
Open Access | Times Cited: 77
Digital innovations for sustainable and resilient agricultural systems
Robert Finger
European Review of Agricultural Economics (2023) Vol. 50, Iss. 4, pp. 1277-1309
Open Access | Times Cited: 77
Internet of Things Approaches for Monitoring and Control of Smart Greenhouses in Industry 4.0
Chiara Bersani, C. Ruggiero, Roberto Sacile, et al.
Energies (2022) Vol. 15, Iss. 10, pp. 3834-3834
Open Access | Times Cited: 73
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: 71
Digital Twins in agriculture: challenges and opportunities for environmental sustainability
Warren Purcell, Thomas Neubauer, Kevin Mallinger
Current Opinion in Environmental Sustainability (2023) Vol. 61, pp. 101252-101252
Open Access | Times Cited: 70
The anatomy of a passport for the circular economy: a conceptual definition, vision and structured literature review
Guido van Capelleveen, Dennis Vegter, Matthias Olthaar, et al.
Resources Conservation & Recycling Advances (2023) Vol. 17, pp. 200131-200131
Open Access | Times Cited: 58
Predictive digital twin for offshore wind farms
Amirashkan Haghshenas, Agus Hasan, Ottar L. Osen, et al.
Energy Informatics (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 57
Farmers' perception of the barriers that hinder the implementation of agriculture 4.0
Franco da Silveira, Sabrina Letícia Couto da Silva, Filipe Molinar Machado, et al.
Agricultural Systems (2023) Vol. 208, pp. 103656-103656
Closed Access | Times Cited: 54
Digital twin and its potential applications in construction industry: State-of-art review and a conceptual framework
Shuaiming Su, Ray Y. Zhong, Yishuo Jiang, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102030-102030
Closed Access | Times Cited: 54
An Evaluative Study on IoT Ecosystem for Smart Predictive Maintenance (IoT-SPM) in Manufacturing: Multiview Requirements and Data Quality
Yuehua Liu, Wenjin Yu, Wenny Rahayu, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 13, pp. 11160-11184
Closed Access | Times Cited: 42
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