| Machine Learning and Knowledge Graph based Design Rule Construction for Additive Manufacturing H Ko, P Witherell, Y Lu, S Kim, DW Rosen Additive Manufacturing, 101620, 2020 | 196 | 2020 |
| Design for additive manufacturing in customized products H Ko, SK Moon, J Hwang International Journal of Precision Engineering and Manufacturing 16, 2369-2375, 2015 | 150 | 2015 |
| A design for additive manufacturing ontology to support manufacturability analysis S Kim, DW Rosen, P Witherell, H Ko Journal of Computing and Information Science in Engineering 19 (4), 041014, 2019 | 94 | 2019 |
| Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing J Kim, Z Yang, H Ko, H Cho, Y Lu Journal of Manufacturing Systems 68, 117-129, 2023 | 46 | 2023 |
| 3D Printing‐Enabled Design and Manufacturing Strategies for Batteries: A Review N Fonseca, SV Thummalapalli, S Jambhulkar, D Ravichandran, Y Zhu, ... Small 19 (50), 2302718, 2023 | 36 | 2023 |
| Machine learning based continuous knowledge engineering for additive manufacturing H Ko, P Witherell, NY Ndiaye, Y Lu 2019 IEEE 15th international conference on automation science and …, 2019 | 35 | 2019 |
| A framework driven by physics-guided machine learning for process-structure-property causal analytics in additive manufacturing H Ko, Y Lu, Z Yang, NY Ndiaye, P Witherell Journal of Manufacturing Systems 67, 213-228, 2023 | 32 | 2023 |
| Design knowledge representation to support personalised additive manufacturing H Ko, SK Moon, KN Otto Virtual and Physical Prototyping 10 (4), 217-226, 2015 | 32 | 2015 |
| Part Decomposition and Evaluation Based on Standard Design Guidelines for Additive Manufacturability and Assemblability Y Oh, H Ko, T Sprock, WZ Bernstein, S Kwon Additive Manufacturing, 2020 | 26 | 2020 |
| Collaborative knowledge management to identify data analytics opportunities in additive manufacturing H Park, H Ko, YT Lee, S Feng, P Witherell, H Cho Journal of Intelligent Manufacturing, 1-24, 2023 | 25 | 2023 |
| Spatial-temporal modeling using deep learning for real-time monitoring of additive manufacturing H Ko, J Kim, Y Lu, D Shin, Z Yang, Y Oh International Design Engineering Technical Conferences and Computers and …, 2022 | 14 | 2022 |
| Linking part design to process planning by design for additive manufacturing ontology S Kim, DW Rosen, P Witherell, H Ko Proceedings of the 3rd International Conference on Progress in Additive …, 2018 | 13 | 2018 |
| Functional requirements of software tools for laser-based powder bed fusion additive manufacturing for metals SC Feng, T Moges, H Park, M Yakout, AT Jones, H Ko, P Witherell Journal of Computing and Information Science in Engineering 23 (3), 031005, 2023 | 11 | 2023 |
| A framework for identifying and prioritizing data analytics opportunities in additive manufacturing H Park, H Ko, YTT Lee, H Cho, P Witherell 2019 IEEE international conference on big data (Big Data), 3458-3467, 2019 | 10 | 2019 |
| Prediction of melt pool geometry using deep neural networks FA Milaat, Z Yang, H Ko, AT Jones International design engineering technical conferences and computers and …, 2021 | 9 | 2021 |
| Enhancing part quality management using a holistic data fusion framework in metal powder bed fusion additive manufacturing Z Yang, J Kim, Y Lu, A Jones, P Witherell, H Yeung, H Ko Journal of Computing and Information Science in Engineering 24 (5), 2024 | 6 | 2024 |
| Transferability analysis of data-driven additive manufacturing knowledge: a case study between powder bed fusion and directed energy deposition M Safdar, J Xie, H Ko, Y Lu, G Lamouche, YF Zhao Journal of Computing and Information Science in Engineering 24 (5), 051010, 2024 | 6 | 2024 |
| A formal model of human interactions for service ecosystem design H Ko, S Lee, D Shin, SK Moon International Design Engineering Technical Conferences and Computers and …, 2014 | 6 | 2014 |
| User-centered design for additive manufacturing as a customization strategy H Ko, S Enea, ZY Chua, SK Moon, KN Otto Proceedings of the International Conference on Progress in Additive …, 2016 | 4 | 2016 |
| Customization design knowledge representation to support additive manufacturing H Ko, SK Moon, K Otto | 4 | 2014 |