The DOI matches its Crossref record, with a small difference in title or year; 51 of the 52 references it cites were found in a registry or an index.
Enabling technologies and tools for digital twin
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Furthermore, DTs improve business performance by streamlining operations and accelerating the achievement of value and competitive advantages [8].”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [8]
In the citing paper
“Due to the different formats, standards and protocols, current tools are not integrated and simultaneously used for a specific objective [7]”
From Digital Twin Technology Challenges and Applications: A Comprehensive Review (2022) · cites this paper as [7]
Citations
Cites
Digital Twin in Industry: State-of-the-Art
Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2873186 · Cited by 4,391
Self-citationDigital Twin in manufacturing: A categorical literature review and classification
Kritzinger, W., Karner, M., Traar, G., Henjes, J., & Sihn, W. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.08.474 · Cited by 3,612
Digital twin-driven product design, manufacturing and service with big data
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-0233-1 · Cited by 2,920
Self-citationThe Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
Glaessgen, E., & Stargel, D. (2012) · 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA · doi:10.2514/6.2012-1818 · Cited by 2,404
Data-driven smart manufacturing
Tao, F., Qi, Q., Liu, A., & Kusiak, A. (2018) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2018.01.006 · Cited by 1,934
Self-citationDeep learning for smart manufacturing: Methods and applications
Wang, J., Ma, Y., Zhang, L., Gao, R. X., & Wu, D. (2018) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2018.01.003 · Cited by 1,740
Digital twin and big data towards smart manufacturing and Industry 4.0: 360 degree comparison
Qi, Q., & Tao, F. (2018) · IEEE Access · doi:10.1109/access.2018.2793265 · Cited by 1,716
Self-citationA Review of the Roles of Digital Twin in CPS-based Production Systems
Negri, E., Fumagalli, L., & Macchi, M. (2017) · Procedia Manufacturing · doi:10.1016/j.promfg.2017.07.198 · Cited by 1,669
Tao, F., Qi, Q., Wang, L., & Nee, A. Y. C. (2019) · Engineering · doi:10.1016/j.eng.2019.01.014 · Cited by 1,589
Self-citationAbout The Importance of Autonomy and Digital Twins for the Future of Manufacturing
Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.141 · Cited by 1,474
Research works printed but not linked: 3
- Tao, 2017, Digital twin workshop: a new paradigm for future workshop, Comput Integr Manuf Syst, 23, 1
- Tao, 2019, Five-dimension digital twin model and its ten applications, Comput Integr Manuf Syst, 25, 1
- Zhang, 2019, A simulation-based approach for plant layout design and production planning, J Ambient Intell Humaniz Comput, 10, 1217, 10.1007/s12652-018-0687-5 · DOI
Cited by
Sorted by citations
Items 701–800 of 1,619
A Digital Twin Framework for Sensor Selection and Microclimate Monitoring in Greenhouses
Akintan, O. A., Babawale, S., Olomo, A., Adeyemo, R., Opadotun, O., Ajayi, J. T., Mba, P. C., Njoku, J. N., Chesang, A. K., Zahid, A., et al. (2025) · AgriEngineering · doi:10.3390/agriengineering7100315 · Cited by 11
Digital twins in quality engineering
Ketelaere, B. D., Smeets, B., Verboven, P., Nicolaï, B. M., & Saeys, W. (2022) · Quality Engineering · doi:10.1080/08982112.2022.2052731 · Cited by 11
Graphical design based on digital twin and interaction generation
Zhang, A. (2022) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2022.108367 · Cited by 11
Automatic response prediction in a digital twin framework for regional bridges group
Zhao, W., Wan, C., Zhang, X., Zhang, G., Ding, Y., Xie, L., Peng, H., & Xue, S. (2025) · Structures · doi:10.1016/j.istruc.2025.109052 · Cited by 10
An Internet of Things Approach to Support a High-Tech House
Casillo, M., Cecere, L., Colace, F., Lorusso, A., Marongiu, F., & Santaniello, D. (2023) · IEEE Congress on Information Science and Technology (CiSt) · doi:10.1109/cist56084.2023.10409932 · Cited by 10
TPC: A Digital Twin-Based Predictive Control Method for Tailplane Control
Cui, Z., Guan, R., Yue, J., Xia, Q., & Wu, C. (2024) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2024.3393503 · Cited by 10
Zhao, Z. M., Zhang, Z., Nie, Q., Liu, C., Zhu, H., Chen, K., & Tang, D. (2024) · Advanced Engineering Informatics · doi:10.1016/j.aei.2024.102748 · Cited by 10
An optimization framework for hot-rolled strip crown control based on model-driven digital twin
Wang, F.-J., Liu, C., He, A. P., Song, Y. H., Shao, J., Yao, C., Qiang, Y., Liu, H., & Ma, B. (2024) · Journal of Iron and Steel Research International · doi:10.1007/s42243-024-01324-0 · Cited by 10
Supply Chain 4.0 and the Digital Twin Approach: A Framework for Improving Supply Chain Visibility
Sani, S., Zarifnia, A., Salonitis, K., & Milisavljevic-Syed, J. (2024) · Procedia CIRP · doi:10.1016/j.procir.2024.03.014 · Cited by 10
Digital twin: a driver of sustainable smart cities? Evidence from a bibliometric analysis
Mongo, M., & Daidj, N. (2025) · Environmental Economics and Policy Studies · doi:10.1007/s10018-025-00437-4 · Cited by 10
Wang, J., Liu, J., Zou, Y., Zhu, J., Liu, J., Lv, P., & Li, H. (2025) · Ocean Engineering · doi:10.1016/j.oceaneng.2025.120676 · Cited by 14
Photogrammetry for Digital Twinning Industry 4.0 (I4) Systems
Alhamadah, A. H. J., Mamun, M., Harms, H., Redondo, M., Lin, Y.-Z., Pacheco, J., Salehi, S., & Satam, P. (2024) · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · doi:10.1109/aiccsa63423.2024.10912549 · Cited by 10
Suhardono, S., Fitria, L., Prayogo, W., Lee, C., & Suryawan, I. W. K. (2025) · Journal of Urban Management · doi:10.1016/j.jum.2025.04.008 · Cited by 10
Digital Twin Road: value and implications involving data and application
Haverkamp, P., Anantheswar, A., May, M., Wadlig, G., Hildebrandt, J., Thiessat, K. A., Wollny, I., Traverso, M., Müller-Mall, S., Kaliske, M., et al. (2025) · Discover Applied Sciences · doi:10.1007/s42452-025-07018-w · Cited by 10
Daraio, C. C., Leo, S. D., & Orsini, J. (2025) · Global Journal of Flexible Systems Management · doi:10.1007/s40171-025-00447-x · Cited by 11
The development of a digital twin concept system
Duan, H., Gao, S., Yang, X., & Li, Y. (2025) · Digital Twin · doi:10.12688/digitaltwin.17599.3 · Cited by 10
Mixed-model product disassembly sequence optimization based on cognitive digital twin
Qi, L., Xu, W., Wang, K., Liu, J., Ye, X., Yang, H., & Zhong, Y. (2025) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2025.07.004 · Cited by 10
Digital-twin–driven urban lifecycle paradigm: evidence from the Singapore–Nanjing eco Hi-Tech Island
Lu, Q., & Li, H. (2026) · Frontiers in Sustainable Cities · doi:10.3389/frsc.2026.1733281 · Cited by 10
Digital twin applications and case studies in modern power grid management
Subramanian, N., & Stonier, A. A. (2026) · Energy Reports · doi:10.1016/j.egyr.2026.109218 · Cited by 11
Li, M., Kikuchi, Y., Ringsberg, J. W., Gryllias, K., Baraldi, P., Zio, E., & Carroll, J. (2026) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2026.116970 · Cited by 10
Empirical Insights into the Challenges of Implementing Digital Twins
Möhring, M., Keller, B., Radowski, C.-F., Blessmann, S., Breimhorst, V., & Müthing, K. (2022) · Smart innovation, systems and technologies · doi:10.1007/978-981-19-3455-1_18 · Cited by 10
HT-TPP: A Hybrid Twin Architecture for Thermal Power Plant Collaborative Condition Monitoring
Ghita, M., Benhadou, S., Medromi, H., & Mounaam, A. (2022) · Energies · doi:10.3390/en15155383 · Cited by 10
Using Simulation Optimization to Improve the Performance of an Automated Manufacturing Line
Ruane, P., Walsh, P., & Cosgrove, J. (2023) · Procedia Computer Science · doi:10.1016/j.procs.2022.12.259 · Cited by 10
Use of the digital twin concept to optimize the production process of engine blocks manufacturing
Sujová, E., Bambura, R., Vysloužilová, D., & Koleda, P. (2023) · Production Engineering Archives · doi:10.30657/pea.2023.29.20 · Cited by 10
Nongkhai, J. N., Suttikun, C., & Mahasuweerachai, P. (2023) · Journal of International Food & Agribusiness Marketing · doi:10.1080/08974438.2023.2255573 · Cited by 10
The IMOCO4.E reference framework for intelligent motion control systems
Mohamed, S., van der Veen, G. J., Kuppens, H., Vierimaa, M., Kanellos, T., Stoutjesdijk, H., Masiero, R., Määttä, K., van der Weit, J. W., Ribeiro, G., et al. (2023) · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · doi:10.1109/etfa54631.2023.10275410 · Cited by 10
Cyber Security Issues in the Industrial Applications of Digital Twins
Siddique, S., Haque, M. A., Rifat, R. H., George, R., Shujaee, K. A., & Gupta, K. D. (2023) · IEEE Symposium Series on Computational Intelligence (SSCI) · doi:10.1109/ssci52147.2023.10371850 · Cited by 10
Martinetti, A., Nizamis, K., Chemweno, P. K., Goulas, C., van Dongen, L. A. M., Gibson, I., Thiede, S., Lutters, E., Vaneker, T., & Bonnema, G. M. (2024) · International Journal of Sustainable Engineering · doi:10.1080/19397038.2024.2327380 · Cited by 10
Digital twin for motorcycle riding profile prediction
Smeets, J., Öztürk, K., & Liebich, R. (2024) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2024.104569 · Cited by 10
Six-dimensional digital twin modeling and software platform design for complex industrial systems
Li, N., Xie, G., Zhang, X., Shi, H., Nie, X., Wang, Y., Wang, J.-A., & Wang, J. (2025) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-025-02567-8 · Cited by 10
Rangarajan, S. S., Shiva, C. K., Sudhakar, A. V. V., Subramaniam, U., Collins, E. R., & Senjyu, T. S. (2023) · Energies · doi:10.3390/en16031112 · Cited by 10
Hu, S., Chen, Y., Wu, H., & Sun, D. (2024) · Journal of Environmental Planning and Management · doi:10.1080/09640568.2024.2311817 · Cited by 9
Yang, J., & Fang, H. (2024) · PLoS ONE · doi:10.1371/journal.pone.0305423 · Cited by 9
He, X., Yang, L., Pang, Y. J., Kan, Z., & Song, X. (2024) · Engineering Structures · doi:10.1016/j.engstruct.2024.118582 · Cited by 9
Digital Twins and E-Learning: Navigating Challenges and Opportunities
Jankovskis, D., Cīrule, I., & Carbone, A. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-67351-1_12 · Cited by 9
Research advancements in quantum computing digital twins
Saini, K., Singh, A., Ahuja, A., Arora, N., & Saini, R. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-28884-5.00002-6 · Cited by 9
Research on digital twin based sealing mechanism of liquid swivel spring energized seal ring
Yang, Y., Gao, R., Baolei, Z., Jin, Z., Lin, S., & Zhang, H. (2025) · Geoenergy Science and Engineering · doi:10.1016/j.geoen.2025.213696 · Cited by 9
Liu, J., Zainudin, E. S., As’arry, A., Ismai, M. I. S. B., & Zhang, C. (2025) · Soft Computing · doi:10.1007/s00500-025-10461-x · Cited by 10
An AI-Driven, Scalable, and Modular Digital Twin Framework for Traffic Management
Herath, M., Dutta, H., Minerva, R., Crespi, N., Alvi, M., & Raza, S. M. (2025) · IEEE Wireless Communications and Networking Conference · doi:10.1109/wcnc61545.2025.10978260 · Cited by 9
Poshnath, A., Chen, Y., Rismanchi, B., & Rajabifard, A. (2025) · Energy and Buildings · doi:10.1016/j.enbuild.2025.115988 · Cited by 9
Digital Twin for Energy-Intelligent Bakery Operations: Concepts and Applications
Melesse, T. Y., Peer, M. S., Ramasamy, S., Sivasubramaniyam, V., Braggio, M., & Orrù, P. F. (2025) · Energies · doi:10.3390/en18143660 · Cited by 9
Yang, W., Zhang, B., Luo, G., Li, L., Wen, X., Li, H., & Wang, H. (2025) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2025.08.013 · Cited by 9
Structural health monitoring of water-lubricated stern bearing systems based on digital twins
Zhang, T., Li, R., Jin, Y., Ouyang, W., Zhu, H., Dong, X., Dong, W., & Bai, Y. (2025) · Ocean Engineering · doi:10.1016/j.oceaneng.2025.123844 · Cited by 9
Digital Twin-Based Lifecycle Methodology for Ensuring Safety of NPP/SMR I&C Systems
Kharchenko, V. S., Shchehlov, V., Ivasiuk, O., & Morozova, O. (2026) · Technologies · doi:10.3390/technologies14010046 · Cited by 9
Presence Assessment in Virtual Reality: A Systematic Literature Review
de Ocampo, F. O., Hernández-Melgarejo, G., Ramirez-Treviño, A., & Fuentes-Aguilar, R. Q. (2026) · Applied Sciences · doi:10.3390/app16063102 · Cited by 9
Satpathy, P. R., & Ramachandaramurthy, V. K. (2026) · Applied Energy · doi:10.1016/j.apenergy.2026.128129 · Cited by 9
Rahnama, H., Johansen, K., Larsson, L., & Rönnbäck, A. Ö. (2021) · Procedia CIRP · doi:10.1016/j.procir.2021.11.135 · Cited by 9
A digital twin-based frame work for task planning and robot programming in HRC
Ren, W., Yang, X., Yan, Y., Hu, Y., & Zhang, L. (2021) · Procedia CIRP · doi:10.1016/j.procir.2021.11.062 · Cited by 9
Towards Reactive Planning with Digital Twins and Model-Driven Optimization
Eisenberg, M., Lehner, D., Šindelář, R., & Wimmer, M. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19762-8_5 · Cited by 9
Orlova, E. V. (2023) · Mathematics · doi:10.3390/math11040863 · Cited by 9
López, C. E. B., Jiménez-García, J. A., Vázquez-Lopez, J. A., & Camarillo-Gómez, K. A. (2022) · Revista Iberoamericana de Automática e Informática Industrial RIAI · doi:10.4995/riai.2022.17791 · Cited by 9
Das, S. K., Uddin, M. H., Popa, D. O., & Baidya, S. (2023) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48891.2023.10161113 · Cited by 9
Smart Maintenance Architecture for Automated Guided Vehicles
Bozhdaraj, D., Lücke, D., & Jooste, J. L. (2023) · Procedia CIRP · doi:10.1016/j.procir.2023.06.020 · Cited by 9
Yan, D., Yang, J., Zhang, D., Leng, J., & Liu, Q. (2023) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2023.2294460 · Cited by 9
Enhanced Agricultural Productivity Using Hydroponics Technique: A Smart Farming System
Dutta, S., Mukherjee, B., & Sawarkar, A. (2024) · Agricultural sciences. · doi:10.5772/intechopen.112780 · Cited by 9
On the Integration of Digital Twin Networks into City Digital Twins: Benefits and Challenges
Turcanu, I., Castignani, G., & Faye, S. (2024) · IEEE Consumer Communications and Networking Conference · doi:10.1109/ccnc51664.2024.10454704 · Cited by 9
Digital Twin Framework in Supply Chain Governance
Ghabak, V., & Chaugule, R. (2024) · IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT) · doi:10.1109/ic2pct60090.2024.10486732 · Cited by 9
Digital Twins for Human-Robot Collaboration: A Future Perspective
Shaaban, M., Carfì, A., & Mastrogiovanni, F. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-44851-5_33 · Cited by 9
Digital Twins-enabled model for Smart Farming
Chauhan, D., Bahad, P., & Jain, R. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-28884-5.00020-8 · Cited by 9
Building a Digital Twin of a CNC Machine Tool
Kibira, D., Shao, G., Venketesh, R., & Triebe, M. J. (2024) · Winter Simulation Conference · doi:10.1109/wsc63780.2024.10838819 · Cited by 9
Zhabitskii, M., Melnikov, V., & Boyko, O. (2021) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/808/1/012020 · Cited by 9
An adaptive evolutionary framework for the decision-making models of digital twin machining system
Liu, S., Shen, H., Li, J., Lu, Y., & Bao, J. (2021) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/case49439.2021.9551595 · Cited by 9
A Knowledge-Driven Digital Twin Modeling Method for Machining Products Based on Biomimicry
Shimin, L., Sun, X., Yuqian, L., Baicun, W., Jinsong, B., & Guo, G. (2021) · Journal of Mechanical Engineering · doi:10.3901/jme.2021.23.182 · Cited by 9
5G mobile networks and Digital Twins concept: Research challenges in network DT emulation
Pantović, V., Milovanovic, D. A., Starčević, D., & Bojkovic, Z. S. (2022) · International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM) · doi:10.1109/elecom54934.2022.9965265 · Cited by 9
Towards a Digital Twin Modelling Notation
Corradini, F., Fedeli, A., Polini, A., & Re, B. (2022) · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) · doi:10.1109/dasc/picom/cbdcom/cy55231.2022.9927827 · Cited by 9
A methodological framework for analyzing PPGIS data collected in 3D
Hasanzadeh, K., Fagerholm, N., Skov-Petersen, H., & Olafsson, A. S. (2023) · International Journal of Digital Earth · doi:10.1080/17538947.2023.2250739 · Cited by 9
Learning digital emulators for closed architecture machine tool controllers
Tiwari, A., Wang, Y., Saleeby, K. S., Reddy, A. L. N., & Bukkapatnam, S. (2023) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2023.05.013 · Cited by 8
Digital twin driven soft sensing for key variables in zinc rotary kiln
Luo, W., Yang, C., Liang, X., Zhang, C., Huang, K., & Gui, W. (2024) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2023.3342443 · Cited by 8
Digital Twins for Robot Systems in Manufacturing
Malik, A. A., Shao, G., & Tarakhovsky, J. (2024) · Simulation foundations, methods and applications · doi:10.1007/978-3-031-69107-2_13 · Cited by 8
Understanding Semantic Drift in Model Driven Digital Twins
Abbasi, F., Brimont, P., Pruski, C., & Sottet, J.-S. (2024) · ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS) · doi:10.1145/3652620.3688256 · Cited by 8
Sheik, A. G., Mantena, S., Kumar, A., Dasari, P. R., Patnaik, R., Bagchi, S. K., Ansari, F. A., & Bux, F. (2024) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2024.117493 · Cited by 9
Cognitive digital twins: A state-of-the-art review
Shahzad, N., Ferreira, W. D., & Selim, B. (2026) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2026.101231 · Cited by 8
Yu, S., Zhang, M., Zhao, Z., Wang, P. P., & Huang, G. Q. (2025) · Industrial Management & Data Systems · doi:10.1108/imds-11-2024-1106 · Cited by 8
Castro, C., Leiva, V., & Basso, F. (2025) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2025.067992 · Cited by 9
Digital twin applications in geotechnical engineering: a systematic review
Wang, Y., Rezaei, A., & Hicks, S. (2025) · Machine Learning and Data Science in Geotechnics · doi:10.1108/mlag-02-2025-0005 · Cited by 8
Yuan, M., Zhang, Z., Mao, K., Yang, Y., & Pei, F. (2025) · Digital Twin · doi:10.1080/27525783.2025.2507007 · Cited by 8
定量相位成像的范式革新:从物理建模到物理驱动深度学习的智能化演进(特邀)
Linpeng, 卢. L., Xingyu, 黄. H., Shun, 周. Z., Yanbo, 金. J., Zhuoshi, 李. L., Jiasong, 孙. S., Qian, 陈. C., & Zuo, C. (2025) · Acta Optica Sinica · doi:10.3788/aos251631 · Cited by 8
Wong, R. W. M., & Loo, B. P. Y. (2025) · Buildings · doi:10.3390/buildings15244406 · Cited by 8
Digital Twin Framework for Reconfigurable Manufacturing Systems: Challenges and Requirements
Hajjem, E., Benderbal, H. H., Hamani, N., & Dolgui, A. B. (2021) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-85902-2_59 · Cited by 8
Ruane, P., Walsh, P., & Cosgrove, J. (2022) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2022.09.195 · Cited by 8
Exploring the application of digital twin in the field of micro turbine engine core components
Zhang, X., Zhang, Q., Li, G., & Hu, J. (2023) · Energy Science & Engineering · doi:10.1002/ese3.1484 · Cited by 8
Digital Twins in Logistics: Requirements, Application and Potentials
Zarnitz, S., & Straube, F. (2023) · Springer eBooks · doi:10.1007/978-3-658-40570-0_12 · Cited by 8
Digital Twin For Agile Manufacturing: Challenges From The Offshore Wind Turbine Industry
Nickpasand, M., & Gaspar, H. M. (2023) · European Conference on Modelling and Simulation (ECMS) · doi:10.7148/2023-0442 · Cited by 8
Asset administration shell-based engineering change management process: Challenges and ways forward
Mediavilla, M. A., Lagnese, M., Pomp, A., & Meisen, T. (2023) · Procedia CIRP · doi:10.1016/j.procir.2023.09.116 · Cited by 8
Exploring the Applications and Challenges of Digital Twins in Various Industries
Jyothi, A. P., Shankar, A., R, A. N. J., Koliparthy, K., Badiger, V. N., & Shivakumar, V. (2024) · IEEE International Conference for Convergence in Technology (I2CT) · doi:10.1109/i2ct61223.2024.10543818 · Cited by 8
Куницька, М. С., Піскун, І. А., Kotenko, V., & Криворучко, А. О. (2024) · Вісник Черкаського державного технологічного університету · doi:10.62660/bcstu/1.2024.52 · Cited by 8
Knowledge reuse for ontology modelling and application of maintenance motion state sequence
Zhou, Q., Zhou, D., Wang, Y., Guo, Z., & Dai, C. (2024) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2024.100659 · Cited by 8
A structured digital twinning approach to improve decision-making in manufacturing SMEs
Slot, M., Damgrave, R., & Lutters, E. (2024) · CIRP journal of manufacturing science and technology · doi:10.1016/j.cirpj.2024.10.010 · Cited by 8
AI Explainability Methods in Digital Twins: A Model and a Use Case
Kreuzer, T., Papapetrou, P., & Zdravković, J. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-78338-8_1 · Cited by 8
Kang, R., Hu, J., Li, M., Zhang, Q., Su, X., Li, Z., & Tian, W. (2025) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2025.05.008 · Cited by 8
Yi, Y., Liu, X., & Ni, Z. (2020) · International Conference on Intelligent Human-Machine Systems and Cybernetics · doi:10.1109/ihmsc49165.2020.10101 · Cited by 8
Legal Issues on the Use of “Digital Twin” Technologies for Smart Cities
Вячеславович, Б. М., Martynov, A., & Shireeva, E. V. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-04238-6_7 · Cited by 8
A Digital Twin Generic Architecture for Data-Driven Cyber-Physical Production Systems
Iliuţă, M.-E., Pop, E., Caramihai, S. I., & Moisescu, M. A. (2023) · Studies in computational intelligence · doi:10.1007/978-3-031-24291-5_6 · Cited by 8
Digital twin-based subspace model predictive control for thermal power plant
Zhao, Y., Cai, Y., & Jiang, H. (2023) · Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering · doi:10.1177/09596518231154042 · Cited by 8
Ştefan, I. A., Barkoczi, N., Todorov, T. G., Peev, I., Pop, L., Marian, C., Campian, C. M., Munteanu, S. C., Flynn, P., & Morales, L. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-34411-4_11 · Cited by 8
An Improved Strain Field Reconstruction Method Based on Digital Twin for Test Monitoring
Wang, B., Ke, X., Song, Z., Du, K., Bi, X., Hao, P., & Zhou, C. (2024) · Experimental Mechanics · doi:10.1007/s11340-024-01035-3 · Cited by 8
Digital twin—The dream and the reality
Kortelainen, J., Minav, T. A., & Tammi, K. (2023) · Frontiers in the Internet of Things · doi:10.3389/friot.2023.1108777 · Cited by 7
Application and research trend of digital twin in measurement technology
Zhao, W., Zhang, C., Wang, J., Gu, F., Peyrano, O. G., Wang, S., & Lv, D. (2024) · Measurement Science and Technology · doi:10.1088/1361-6501/ad6206 · Cited by 7
Immersive learning trends using digital twins
Pandey, P. K., Mahajan, S., Pandey, P. K., Paul, J., & Iyer, S. S. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-28884-5.00012-9 · Cited by 8
Boscariol, M., Cacciaguerra, E., Gasbarri, P., Accardo, D., Meschini, S., & Tagliabue, L. C. (2025) · Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP) · doi:10.1109/pdp66500.2025.00074 · Cited by 7
Metadata
- Authors
- Qi, Q., Tao, F., Hu, T., Anwer, N., Liu, A., Wei, Y., Wang, L., & Nee, A. Y. C.
- Affiliations
- Beihang University (CN)
- Shandong University (CN)
- Université Paris-Sud (FR)
- UNSW Sydney (AU)
- KTH Royal Institute of Technology (SE)
- National University of Singapore (SG)
- Corresponding author
- Tao, Fei
- Venue
- Journal of Manufacturing Systems
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 58
- Pages
- 3-21
- ISSN
- 0278-6125 (ISSN-L)
- OpenAlex
- W2982689699
- Cited by
- 1,579
- References
- 52
- Citations by year
- 2026: 221 · 2025: 299 · 2024: 351 · 2023: 318 · 2022: 205 · 2021: 122
- FWCI
- 72.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Manufacturing Systems (publishedVersion)
- HAL (submittedVersion)
- Funders
- National Basic Research Program of China
- National Natural Science Foundation of China
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Applied Advanced Technologies
- Physical Sciences › Engineering › Building and Construction › BIM and Construction Integration
- Keywords
- digital twin, enabling technologies, sensor data, data integration, digital twin implementation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review