| Recuperators for micro gas turbines: A review G Xiao, T Yang, H Liu, D Ni, ML Ferrari, M Li, Z Luo, K Cen, M Ni Applied Energy 197, 83-99, 2017 | 145 | 2017 |
| Multivariable predictive control of thin film deposition using a stochastic PDE model D Ni, PD Christofides Industrial & Engineering Chemistry Research 44 (8), 2416-2427, 2005 | 94 | 2005 |
| Multiscale modeling and operation of PECVD of thin film solar cells M Crose, JSI Kwon, M Nayhouse, D Ni, PD Christofides Chemical Engineering Science 136, 50-61, 2015 | 68 | 2015 |
| Spatio-temporal dynamic inference network for group activity recognition H Yuan, D Ni, M Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 49 | 2021 |
| A method for handling batch-to-batch parametric drift using moving horizon estimation: application to run-to-run MPC of batch crystallization JSI Kwon, M Nayhouse, G Orkoulas, D Ni, PD Christofides Chemical Engineering Science 127, 210-219, 2015 | 49 | 2015 |
| A semi-supervised and incremental modeling framework for wafer map classification Y Kong, D Ni IEEE Transactions on Semiconductor Manufacturing 33 (1), 62-71, 2020 | 46 | 2020 |
| A model-based approach for optical performance assessment and optimization of a solar dish G Xiao, T Yang, D Ni, K Cen, M Ni Renewable Energy 100, 103-113, 2017 | 43 | 2017 |
| Run-to-run-based model predictive control of protein crystal shape in batch crystallization JSI Kwon, M Nayhouse, G Orkoulas, D Ni, PD Christofides Industrial & Engineering Chemistry Research 54 (16), 4293-4302, 2015 | 40 | 2015 |
| Learning visual context for group activity recognition H Yuan, D Ni Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3261-3269, 2021 | 34 | 2021 |
| Dynamics and control of thin film surface microstructure in a complex deposition process D Ni, PD Christofides Chemical Engineering Science 60 (6), 1603-1617, 2005 | 31 | 2005 |
| A batch-wise LSTM-encoder decoder network for batch process monitoring J Ren, D Ni Chemical Engineering Research and Design 164, 102-112, 2020 | 29 | 2020 |
| Thermodynamic analysis of a gas turbine cycle combined with fuel reforming for solar thermal power generation M Ni, T Yang, G Xiao, D Ni, X Zhou, H Liu, U Sultan, J Chen, Z Luo, K Cen Energy 137, 20-30, 2017 | 29 | 2017 |
| Real-time carbon content control for PECVD ZrO/sub 2/thin-film growth D Ni, Y Lou, PD Christofides, L Sha, S Lao, JP Chang IEEE transactions on semiconductor manufacturing 17 (2), 221-230, 2004 | 26 | 2004 |
| Model predictive control of a steam methane reforming reactor described by a computational fluid dynamics model Z Wu, A Aguirre, A Tran, H Durand, D Ni, PD Christofides Industrial & Engineering Chemistry Research 56 (20), 6002-6011, 2017 | 25 | 2017 |
| Thermodynamic assessment of solar photon-enhanced thermionic conversion G Xiao, G Zheng, D Ni, Q Li, M Qiu, M Ni Applied Energy 223, 134-145, 2018 | 21 | 2018 |
| Construction of stochastic PDEs for feedback control of surface roughness in thin film deposition D Ni, PD Christofide Proceedings of the 2005, American Control Conference, 2005., 2540-2547, 2005 | 21 | 2005 |
| Detecting human-object interactions with object-guided cross-modal calibrated semantics H Yuan, M Wang, D Ni, L Xu Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3206-3214, 2022 | 19 | 2022 |
| Thermodynamic modelling and real-time control strategies of solar micro gas turbine system with thermochemical energy storage J Yang, G Xiao, M Ghavami, J Al-Zaili, T Yang, A Sayma, D Ni Journal of Cleaner Production 304, 127010, 2021 | 19 | 2021 |
| Recognition and location of mixed-type patterns in wafer bin maps Y Kong, D Ni 2019 IEEE International Conference on Smart Manufacturing, Industrial …, 2019 | 17 | 2019 |
| Rlip: Relational language-image pre-training for human-object interaction detection H Yuan, J Jiang, S Albanie, T Feng, Z Huang, D Ni, M Tang Advances in Neural Information Processing Systems 35, 37416-37431, 2022 | 15 | 2022 |
