| A hybrid approach to energy consumption modelling based on cutting power: a milling case N Liu, YF Zhang, WF Lu Journal of Cleaner Production 104, 264-272, 2015 | 118 | 2015 |
| A novel approach to predicting surface roughness based on specific cutting energy consumption when slot milling Al-7075 N Liu, SB Wang, YF Zhang, WF Lu International Journal of Mechanical Sciences 118, 13-20, 2016 | 89 | 2016 |
| A novel energy consumption model for milling process considering tool wear progression KN Shi, DH Zhang, N Liu*, SB Wang, JX Ren, SL Wang Journal of cleaner production 184, 152-159, 2018 | 64 | 2018 |
| An Improved Cutting Power-based Model for Evaluating Total Energy Consumption in General End Milling Process KN Shi, JX Ren, SB Wang, N Liu*, ZM Liu, DH Zhang, WF Lu Journal of Cleaner Production, 2019 | 54 | 2019 |
| Improving Energy Efficiency in Discrete Parts Manufacturing System Using an Ultra-Flexible Job Shop Scheduling Algorithm N Liu*, YF Zhang, WF Lu International Journal of Precision Engineering and Manufacturing-Green …, 2019 | 36 | 2019 |
| Interference-and chatter-free cutter posture optimization towards minimal surface roughness in five-axis machining Z Zhao, S Wang, Z Wang, N Liu, S Wang, C Ma, B Yang International Journal of Mechanical Sciences 171, 105395, 2020 | 35 | 2020 |
| Integrated numerical modelling and deep learning for multi-layer cube deposition planning in laser aided additive manufacturing K Ren, Y Chew, N Liu, YF Zhang, JYH Fuh, GJ Bi Virtual and Physical Prototyping 16 (3), 318-332, 2021 | 25 | 2021 |
| Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point-Based Approach W Zhang, N Liu*, Y Zhang IEEE Robotics and Automation Letters, 2021 | 21 | 2021 |
| A profile error compensation method in precision grinding of screw rotors Z Liu, Q Tang, N Liu, J Song The International Journal of Advanced Manufacturing Technology 100, 2557-2567, 2019 | 20 | 2019 |
| Experimental and Theoretical Investigation of Milling Tool Selection towards Energy-efficient Process Planning in Discrete Parts Manufacturing KN Shi, SB Wang, N Liu*, JX Ren, Y Yuan The International Journal of Advanced Manufacturing Technology, 2019 | 18 | 2019 |
| Integrating physics-informed recurrent Gaussian process regression into instance transfer for predicting tool wear in milling process B Qiang, K Shi, N Liu*, J Ren, Y Shi Journal of Manufacturing Systems 68, 42-55, 2023 | 15 | 2023 |
| Effect of tool path on cutting force in end milling K Shi, N Liu, S Wang, J Ren The International Journal of Advanced Manufacturing Technology 104, 4289-4300, 2019 | 14 | 2019 |
| Danger-aware adaptive composition of drl agents for self-navigation W Zhang, Y Zhang, N Liu Unmanned Systems 9 (01), 1-9, 2021 | 13 | 2021 |
| Indirect approach for predicting cutting force coefficients and power consumption in milling process KN Shi, N Liu*, CL Liu, JX Ren, SS Yang, WC Tan Advances in Manufacturing, 1-13, 2021 | 12 | 2021 |
| Energy-efficient integration of process planning and scheduling in discrete parts manufacturing with a heuristic-based two-stage approach N Liu, YF Zhang, WF Lu The International Journal of Advanced Manufacturing Technology 106, 2415-2432, 2020 | 12 | 2020 |
| A Novel Optimization Design Method of Form Grinding Wheel for Screw Rotor Z Liu, Q Tang, N Liu*, P Liang, W Liu Applied Sciences 9 (23), 5079, 2019 | 10 | 2019 |
| IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning W Zhang, Y Zhang, N Liu, K Ren, P Wang IEEE/ASME Transactions on Mechatronics 27 (6), 5451-5461, 2022 | 9 | 2022 |
| IIoT-enabled and data-driven sustainability evaluation framework for textile supply chain TW Chit, L Ning, NA Paliath, YM Long, H Akhtar, Y Shanshan 2021 IEEE 16th conference on industrial electronics and applications (ICIEA …, 2021 | 9 | 2021 |
| An analytical method for surface roughness prediction in precision grinding of screw rotors ZM Liu, Q Tang, YF Zhang, N Liu The International Journal of Advanced Manufacturing Technology, 1-12, 2019 | 9 | 2019 |
| An evolutional algorithm for automatic 2D layer segmentation in laser-aided additive manufacturing N Liu, K Ren, W Zhang, YF Zhang, YX Chew, GJ Bi, JYH Fuh Additive Manufacturing 47, 102342, 2021 | 7 | 2021 |
Wang Sibaoresearch fellow of mechanical engineering, National University of SingaporeVerified email at nus.edu.sg
