July 01, 2022 article Digital twin modeling Journal of Manufacturing Systems DOI: 10.1016/j.jmsy.2022.06.015 OpenAlex Authors 0 Author list not loaded yet. Cited by 5 stored of 1,246 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Surrogate model–aided digital twins for multi-coupling control process parameter optimization 2026 Applied Soft Computing article Engineering Digital Transformation in Industry Open access 0 citations Development of a cloud-based toolchain for data science in fuel cell vehicles 2025 Journal of Power Sources article Engineering Fuel Cells and Related Materials Open access 5 citations Digital Twins of Business Processes: A Research Manifesto 2024 Internet of Things article Business, Management and Accounting Business Process Modeling and Analysis Open access 29 citations IoT-Based SHM Using Digital Twins for Interoperable and Scalable Decentralized Smart Sensing Systems 2024 Information article Engineering Structural Health Monitoring Techniques Open access 24 citations Digital Twin of a battery-based EV charging station to support services 2024 Procedia CIRP article Engineering Digital Transformation in Industry Open access 3 citations 5 results References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Meta-Information driven Modeling of Services for Experimentable Digital Twins 2020 2020 IEEE International Systems Conference (SysCon) conference-paper Engineering Digital Transformation in Industry 1 citations 1 result