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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:

Vehicle system dynamics in digital twin studies in rail and road domains
Maksym Spiryagin, Johannes Edelmann, Florian Klinger, et al.
Vehicle System Dynamics (2023) Vol. 61, Iss. 7, pp. 1737-1786
Open Access | Times Cited: 20

Showing 20 citing articles:

Light Electric Vehicle Performance with Digital Twin Technology: A Comparison of Motor Types
Abdurrahman Özgür Polat, Bekir Cagri Erden, Seda Kül, et al.
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 5, pp. 7209-7222
Open Access | Times Cited: 7
Cooperative Game Theory-Based Multi-Objective Optimization of Quasi-Zero Stiffness Air Suspension System Considering Air Pressure Uncertainty
Zijun Zhang, Xing Xu, Jiachen Jiang, et al.
Journal of Vibration Engineering & Technologies (2025) Vol. 13, Iss. 1
Closed Access
Tire–road contact modelling for multibody simulations with regularised road and enhanced UA tire models
P. Millan, Jorge Ambrósio
Multibody System Dynamics (2024)
Open Access | Times Cited: 3
Robust assessment of railway vehicle safety risks in operation using a proposed data-driven wheel profile generation approach: Design of computer experiments and surrogate models
Joaquim A.P. Braga, J. N. Costa, Jorge Ambrósio, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110220-110220
Open Access | Times Cited: 2
Towards digital twin trains: implementing a cloud-based framework for railway vehicle dynamics simulation
Zhao Tang, Liang Ling, Tao Zhang, et al.
International Journal of Rail Transportation (2024), pp. 1-24
Closed Access | Times Cited: 2
Modeling and control system optimization for electrified vehicles: A data-driven approach
Hao Zhang, Nuo Lei, Boli Chen, et al.
Energy (2024), pp. 133196-133196
Closed Access | Times Cited: 2
Approach Towards the Development of Digital Twin for Structural Health Monitoring of Civil Infrastructure: A Comprehensive Review
Zhiyan Sun, Sanduni Jayasinghe, Amir Sidiq, et al.
Sensors (2024) Vol. 25, Iss. 1, pp. 59-59
Open Access | Times Cited: 2
Tridimensional vector path abstracting and trajectory tracking control on ramps of full self-driving vehicle
Zejia He, Qin Shi, Jixiang Liang, et al.
Control Engineering Practice (2023) Vol. 139, pp. 105626-105626
Closed Access | Times Cited: 6
A data-driven approach for railway in-train forces monitoring
Sheng Zhang, Pu Huang, Wenyi Yan
Advanced Engineering Informatics (2023) Vol. 59, pp. 102258-102258
Open Access | Times Cited: 5
Battery state estimation methods and management system under vehicle–cloud collaboration: A Survey
Peng Mei, Hamid Reza Karimi, Jiale Xie, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 206, pp. 114857-114857
Open Access | Times Cited: 1
Digital Twin Approach for Operation and Maintenance of Transportation System—Systematic Review
Sylwia Werbińska-Wojciechowska, R. Giel, Klaudia Winiarska
Sensors (2024) Vol. 24, Iss. 18, pp. 6069-6069
Open Access | Times Cited: 1
Toward seamless mobility: Integrating connected and autonomous vehicles in smart cities through digital twins
C. V. Suresh Babu, C.S. Akkash Anniyappa, Archana R. Raut
Elsevier eBooks (2024), pp. 169-187
Closed Access | Times Cited: 1
Role of Digital Twin Technology in Automotive Sectors: An Overview
R. Raffik, K Mageshwaran, Ashlin Joe J, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 2
A Systematic Literature Review of Recent Trends and Challenges in Digital Twin Implementation
Ikrar Adinata Arin, Meyliana Meyliana, Harco Leslie Hendric Spits Warnars, et al.
(2023), pp. 1-10
Closed Access | Times Cited: 2
Challenges of Integrating Model-Based Digital Twins for Vehicle Diagnosis
Malte Heithoff, Marco Konersmann, Judith Michael, et al.
2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) (2023), pp. 470-478
Closed Access | Times Cited: 2
Hybrid Physics-Based and Data-Driven Modelling for Vehicle Dynamics Simulation
Giuseppe Valente, Michele Perrelli, Rocco Adduci, et al.
Mechanisms and machine science (2024), pp. 398-406
Closed Access
Digital Twins for Railway Sector: Current State and Future Directions
Evelin Krmac, Boban Djordjević
IEEE Access (2024) Vol. 12, pp. 108597-108615
Open Access
Testing the Impact Performance of a Long Pocket Dual Draft Gear Using Digital Twin Technique
Colin Cole, Qing Wu, Maksym Spiryagin
Lecture notes in mechanical engineering (2024), pp. 1180-1188
Closed Access
Real-Time Digital Twin for Railway Systems
Esteban Bernal, Maksym Spiryagin, Juan Felipe Santa, et al.
Lecture notes in mechanical engineering (2024), pp. 445-454
Closed Access
Introduction of Digital Twins in the Longitudinal Train Dynamics Simulation of Freight Train Air Brake Operations
Nicola Bosso, L Cantone, Antônio Gugliotta, et al.
Lecture notes in mechanical engineering (2024), pp. 297-306
Closed Access
Maturity of Vehicle Digital Twins: From Monitoring to Enabling Autonomous Driving
Robert Klar, Niklas Arvidsson, Vangelis Angelakis
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2024), pp. 3673-3679
Closed Access
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