| New paradigm of data-driven smart customisation through digital twin X Wang, Y Wang, F Tao, A Liu Journal of manufacturing systems 58, 270-280, 2021 | 120 | 2021 |
| Digital twin-driven supply chain planning Y Wang, X Wang, A Liu Procedia Cirp 93, 198-203, 2020 | 48 | 2020 |
| ChatGPT for design, manufacturing, and education X Wang, N Anwer, Y Dai, A Liu Procedia CIRP 119, 7-14, 2023 | 34 | 2023 |
| Machine learning for engineering design toward smart customization: A systematic review X Wang, A Liu, S Kara Journal of Manufacturing Systems 65, 391-405, 2022 | 30 | 2022 |
| Blockchain applications in PLM towards smart manufacturing S Chen, X Cai, X Wang, A Liu, Q Lu, X Xu, F Tao The International Journal of Advanced Manufacturing Technology, 1-15, 2022 | 21 | 2022 |
| Blockchain-based customization towards decentralized consensus on product requirement, quality, and price A Liu, D Zhang, X Wang, X Xu Manufacturing letters 27, 18-25, 2021 | 20 | 2021 |
| Trust-driven vehicle product-service system: A blockchain approach X Wang, Y Wang, A Liu Procedia CIRP 93, 593-598, 2020 | 11 | 2020 |
| Constructing Product Usage Context Knowledge Graph Using User-Generated Content for User-Driven Customization X Wang, A Liu, S Kara Journal of Mechanical Design 145, 041403-1, 2023 | 9 | 2023 |
| Digital twin-driven complexity management in intelligent manufacturing Y Wang, X Wang, F Tao, A Liu Digital Twin 1, 9, 2021 | 6 | 2021 |
| Determining customer-focused product features through social network analysis X Wang, Y Wang, A Liu Procedia CIRP 91, 704-709, 2020 | 6 | 2020 |
| An ontology-based product usage context modeling method for smart customization X Wang, A Liu, S Kara Procedia CIRP 109, 641-646, 2022 | 5 | 2022 |
| User-generated content analysis for customer needs elicitation A Liu, Y Wang, X Wang, A Liu, Y Wang, X Wang Data-driven engineering design, 23-40, 2022 | 4 | 2022 |
| Data-driven smart product service system A Liu, Y Wang, X Wang, A Liu, Y Wang, X Wang Data-Driven Engineering Design, 129-147, 2022 | 4 | 2022 |
| Digital Twin-Driven Analysis of Design Constraints Y Wang, X Wang, A Liu Procedia CIRP 91, 716-721, 2020 | 4 | 2020 |
| Data-driven engineering design A Liu, Y Wang, X Wang, A Liu, Y Wang, X Wang Data-Driven engineering design, 1-22, 2022 | 3 | 2022 |
| Digital Twin for Data-Driven Engineering Design A Liu, Y Wang, X Wang, A Liu, Y Wang, X Wang Data-Driven Engineering Design, 149-172, 2022 | 1 | 2022 |
| Data-Driven Conceptual Design A Liu, Y Wang, X Wang, A Liu, Y Wang, X Wang Data-Driven Engineering Design, 41-66, 2022 | 1 | 2022 |
| Enabling technologies of data-driven engineering design A Liu, Y Wang, X Wang, A Liu, Y Wang, X Wang Data-Driven Engineering Design, 173-197, 2022 | 1 | 2022 |
| Blockchain-based data-driven smart customization A Liu, Y Wang, X Wang, A Liu, Y Wang, X Wang Data-Driven Engineering Design, 89-107, 2022 | 1 | 2022 |
| Data-Driven Design of Smart Product A Liu, Y Wang, X Wang, A Liu, Y Wang, X Wang Data-Driven Engineering Design, 109-127, 2022 | | 2022 |
Ang LiuUniversity of New South WalesVerified email at unsw.edu.au
