Interdisciplinary Research
  • Z. Lin, K. Cheng, D. Yang, F. Xu, G. Song, R. Meng, J. Wang, X. Zhu, M. Ng, J. Wu, Ecoregion- wise Fractional Mapping of Tree Functional Composition in Temperate Mixed Forests with Sentinel Data: Integrating Time-Series Spectral and Radar Data, Remote Sensing of Environment

  • C. Lee, G. Song, H. Muller-Landau, S. Wu, S. Wright, K. Cushmanm R. Araujo, S. Bohlman, Y. Zhao, Z. Lin, Z. Sun, P. Cheng, M. Ng, Jin Wu, Cost-effective and Accurate Monitoring of Flowering Across Multiple Tropical Tree Species over Two Years with a Time Series of High-resolution Drone Imagery and Deep Learning, ISPRS Journal of Photogrammetry and Remote Sensing, V201 (2023), pp. 92-103

  • J. Wang, G. Song, B. Alberton, M. Detto, Al Huete, C. Lee, M. Liddell, X. Ma, H. Muller-Landau, P. Morellato, B. Nelson, M. Ng, D. Yang, Y. Zhao, H. Zhang, J. Wu, An Ecologically-constrained Deep Learning Model for Tropical Leaf Phenology Monitoring using PlanetScope Satellites, Remote Sensing of Environment, V286 (2023), 113429

  • J. Zhang, P. Chan and M. Ng, LiDAR-based Windshear Detection via Statistical Features, Advances in Meteorology, V2022, Article ID 3039797, 2022 (https://doi.org/10.1155/2022/3039797).

  • S. Guo, J. Fu, P. Zhang, C. Zhu, H. Yao, M. Xu, B. An, X. Wang, B. Tang, Y. Deng, T. Salim, H. Du, R. Dunin-Borkowski, M. Xu, W. Zhou, B. Tay, C. Zhu, Y. He, M. Hofmann, Y. Hsieh, W. Guo, M. Ng, C. Jia, Z. Zhang, Y. He and Z. Liu, Direct Growth of Metallic Single-metal-atom Chains, Nature Synthesis, V1 (2022), pp. 245-253 ( https://doi.org/10.1038/s44160-022-00038-z)

  • G. Song, S. Wu, C. Lee, S. Serbin, B. Wolfe, M. Ng, K. Ely, M. Bogonovich, J. Wang, Z. Lin, S. Saleska, B. Nelson, A. Rogers, J. Wu, Monitoring Leaf Phenology in Moist Tropical Forests by Applying a Superpixel-based Deep Learning Method to Time-series Images of Tree Canopies, ISPRS Journal of Photogrammetry and Remote Sensing, V183 (2022), pp. 19-33

  • J. Zhang, P. Chan and M. Ng, LIDAR Data Denoising by Observations Selection, Total Variation and L-curve Method, Advances in Meteorology, V2022, Article ID 3792225, 2022 (https://doi.org/10.1155/2022/3792225)

  • J. Huang, M. Ng and P. Chan, Wind Shear Prediction from Light Detection and Ranging Data Using Machine Learning Methods, Atmosphere, V12(5), 2021 (https://doi.org/10.3390/atmos12050644)

  • S. Zhang, H. Wang, X. Zhou, G. Hoehn, T. DeGraba, D. Gonzales, A. Suffredini, W. Ching, M. Ng and S. Wong, A Novel Peak Detection Approach with Chemical Noise Removal Using Short-Time FFT for prOTOF MS Data, Proteomics, V9 (2009), pp. 3833-3842

  • L. Cheung, Y. Lee, T. Ng, W. Ching, U. Khoo, M. Ng and A. Wong, CpG/CpNpG Motifs in the Coding Region are Preferred Sites for Mutagenesis in the Breast Cancer Susceptibility Genes, FEBS Letters, V581 (2007), pp. 4668-4674

  • J. Zhang, T. Zhou, C. Cheung, C. Beling, S. Fung and M. Ng, Deconvolution of 2D coincident Doppler broadening spectroscopy using the Richardson-Lucy algorithm, Nuclear Instruments and Methods in Physics Research A, V560 (2006), pp. 552-557

  • T. Woo, V. Cheng, C. Beling and M. Ng, An Evaluation of Algorithms for the Deconvolution of Doppler Broadening Positron Annihilation Radiation Spectroscopy Spectra, Computer Physics Communications, V168, Issue 3 (2005), pp. 177-186

  • R. Peeters, P. Kornprobst, M. Nikolova, S. Sunaert, T. Vieville, G. Malandain, R. Deriche, O. Faugeras, M. Ng and P. Van Hecke, The Use of Superresolution Techniques to Reduce Slice Thickness in Functional MRI, International Journal of Imaging System and Technology, 14 (2004), pp. 131-138

    COVID-19 Research
  • F. Shao, S. Xu, X. Ma, Z. Xu, J. Lyu, M. Ng, H. Cui, C. Yu, Q. Zhang, P. Sun and Z. Tang, In-hospital Cardiac Arrest Outcomes Among Patients with COVID-19 Pneumonia in Wuhan, China , Resuscitation, V151, pp. 18-23, 2020

  • S. Xu, F. Shao, B. Bao, X. Ma, Z. Xu, J. You, P. Zhao, Y. Liu, M. Ng, H. Cui, C. Yu, Q. Zhang, D. Li, Z. Tang and P. Sun, Clinical Manifestation and Neonatal Outcomes of Pregnant Patients with COVID-19 Pneumonia in Wuhan, China , Open Forum Infectious Diseases, ofaa283, 2020

  • X. Ma, M. Ng, S. Xu 3, Z. Xu, H. Qiu, Y. Liu, J. Lyu, J. You, P. Zhao, S. Wang, Y. Tang, H. Cui, C. Yu, F. Wang, F. Shao, P. Sun, Z. Tang, Development and Validation of Prognosis Model of Mortality Risk in Patients with COVID-19 , Epidemiology and Infection, 2020