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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 of the natural environment
Gordon S. Blair
Patterns (2021) Vol. 2, Iss. 10, pp. 100359-100359
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Building the metaverse using digital twins at all scales,states, and relations
Zhihan Lv, Shuxuan Xie, Yuxi Li, et al.
Virtual Reality & Intelligent Hardware (2022) Vol. 4, Iss. 6, pp. 459-470
Open Access | Times Cited: 67
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: 16
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions
Florian Stadtmann, Adil Rasheed, Trond Kvamsdal, et al.
IEEE Access (2023) Vol. 11, pp. 110762-110795
Open Access | Times Cited: 27
Survey on digital twins for natural environments: A communication network perspective
Moufida Maimour, Arsalan Ahmed, Éric Rondeau
Internet of Things (2024) Vol. 25, pp. 101070-101070
Open Access | Times Cited: 10
Future digital twins: emulating a highly complex marine biogeochemical model with machine learning to predict hypoxia
Jozef Skákala, Katie Awty-Carroll, Prathyush P. Menon, et al.
Frontiers in Marine Science (2023) Vol. 10
Open Access | Times Cited: 19
City Information Models (CIMs) as precursors for Urban Digital Twins (UDTs): A case study of Lancaster
Paul Cureton, Elliot Hartley
Frontiers in Built Environment (2023) Vol. 9
Open Access | Times Cited: 18
Marine digital twins for enhanced ocean understanding
André Miedtank, Janina Schneider, Christoph Manss, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 36, pp. 101268-101268
Open Access | Times Cited: 5
On the scaling of digital twins by aggregation
Marcelo Pias, Lawrence A. Bull, Daniel S. Brennan, et al.
Data & Policy (2025) Vol. 7
Open Access
Environmental management using a digital twin
Jennifer M. Durden
Environmental Science & Policy (2025) Vol. 164, pp. 104018-104018
Open Access
Integrating urban building energy modeling (UBEM) and urban-building environmental impact assessment (UB-EIA) for sustainable urban development: A comprehensive review
Yang Li, Haibo Feng
Renewable and Sustainable Energy Reviews (2025) Vol. 213, pp. 115471-115471
Open Access
Nutrientscape ecology: a whole-system framework to support the understanding and management of coastal nutrient connectivity
Pirta Palola, Simon J. Pittman, Antoine Collin, et al.
Landscape Ecology (2025) Vol. 40, Iss. 3
Open Access
A framework for incorporating rainfall data into a flooding digital twin
Amy C. Green, Elizabeth Lewis, Tong Xue, et al.
Journal of Hydrology (2025), pp. 132893-132893
Open Access
On the future of hydroecological models of everywhere
Keith Beven
Environmental Modelling & Software (2025), pp. 106431-106431
Closed Access
Transforming agrifood production systems and supply chains with digital twins
Asaf Tzachor, Catherine E. Richards, Scott Jeen
npj Science of Food (2022) Vol. 6, Iss. 1
Open Access | Times Cited: 26
Environmental sensor placement with convolutional Gaussian neural processes
Tom R. Andersson, Wessel P. Bruinsma, Stratis Markou, et al.
Environmental Data Science (2023) Vol. 2
Open Access | Times Cited: 12
A brief history of information and disinformation in hydrological data and the impact on the evaluation of hydrological models
Keith Beven
Hydrological Sciences Journal (2024) Vol. 69, Iss. 5, pp. 519-527
Open Access | Times Cited: 4
Digital twin-based virtual modeling of the Poyang Lake wetland landscapes
Hao Chen, Xin Xiao, Chao Chen, et al.
Environmental Modelling & Software (2024) Vol. 181, pp. 106168-106168
Closed Access | Times Cited: 4
Virtual laboratories: transforming research with AI
Arto Klami, Theo Damoulas, Ola Engkvist, et al.
Data-Centric Engineering (2024) Vol. 5
Open Access | Times Cited: 4
How to avoid a local epidemic becoming a global pandemic
Nils Chr. Stenseth, Rudolf Schlatte, Xiaoli Liu, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 10
Open Access | Times Cited: 11
Towards Digital Twins of the Oceans: The Potential of Machine Learning for Monitoring the Impacts of Offshore Wind Farms on Marine Environments
Janina Schneider, André Klüner, Oliver Zielinski
Sensors (2023) Vol. 23, Iss. 10, pp. 4581-4581
Open Access | Times Cited: 10
Digital Twins' Maturity: The Need for Interoperability
Robert Klar, Niklas Arvidsson, Vangelis Angelakis
IEEE Systems Journal (2023) Vol. 18, Iss. 1, pp. 713-724
Open Access | Times Cited: 10
A Bibliometrics-Based Systematic Review of Safety Risk Assessment for IBS Hoisting Construction
Yin Junjia, Aidi Hizami Alias, Nuzul Azam Haron, et al.
Buildings (2023) Vol. 13, Iss. 7, pp. 1853-1853
Open Access | Times Cited: 9
Unstructured Grid-Based River–Coastal Ocean Circulation Modeling towards a Digital Twin of the Seto Inland Sea
Jae-Soon Jeong, Han Soo Lee
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8143-8143
Open Access | Times Cited: 8
An Enhanced Methodology for Creating Digital Twins within a Paleontological Museum Using Photogrammetry and Laser Scanning Techniques
Markos Konstantakis, Georgios Trichopoulos, John Aliprantis, et al.
Heritage (2023) Vol. 6, Iss. 9, pp. 5967-5980
Open Access | Times Cited: 7
The role of data science in environmental digital twins: In praise of the arrows
Gordon S. Blair, Peter A. Henrys
Environmetrics (2023) Vol. 34, Iss. 2
Open Access | Times Cited: 6
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