| Estimating changes in temperature extremes from millennial scale climate simulations using generalized extreme value (GEV) distributions WK Huang, ML Stein, DJ McInerney, S Sun, EJ Moyer Advances in Statistical Climatology, Meteorology and Oceanography, 2016 | 69 | 2016 |
| A correlative analysis process in a visual analytics environment A Malik, R Maciejewski, N Elmqvist, Y Jang, DS Ebert, W Huang 2012 IEEE Conference on Visual Analytics Science and Technology (VAST), 33-42, 2012 | 67 | 2012 |
| Evidence of biotic resistance to invasions in forests of the Eastern USA BV Iannone, KM Potter, KAD Hamil, W Huang, H Zhang, Q Guo, ... Landscape Ecology 31, 85-99, 2016 | 57 | 2016 |
| Cross-scale contradictions in ecological relationships KA Dixon Hamil, BV Iannone III, WK Huang, S Fei, H Zhang Landscape Ecology 31, 7-18, 2016 | 46 | 2016 |
| Evaluation of dynamically downscaled extreme temperature using a spatially-aggregated generalized extreme value (GEV) model J Wang, Y Han, ML Stein, VR Kotamarthi, WK Huang Climate dynamics 47, 2833-2849, 2016 | 30 | 2016 |
| Compound wind and precipitation extremes in global coastal regions under climate change R Yaddanapudi, A Mishra, W Huang, H Chowdhary Geophysical Research Letters 49 (15), e2022GL098974, 2022 | 20 | 2022 |
| Estimating precipitation extremes using the log‐histospline WK Huang, DW Nychka, H Zhang Environmetrics 30 (4), e2543, 2019 | 17 | 2019 |
| Estimating concurrent climate extremes: A conditional approach WK Huang, AH Monahan, FW Zwiers Weather and Climate Extremes 33, 100332, 2021 | 13 | 2021 |
| Multidimensional scaling W Huang | 9 | 2022 |
| New Exploratory Tools for Extremal Dependence: Networks and Annual Extremal Networks WK Huang, DS Cooley, I Ebert-Uphoff, C Chen, S Chatterjee Journal of Agricultural, Biological and Environmental Statistics 24 (3), 484-501, 2019 | 7 | 2019 |
| Characterization of extremes and compound impacts: Applications of machine learning and interpretable neural networks Y Feng, R Maulik, J Wang, P Balaprakash, W Huang, V Rao, P Xue, ... Artificial Intelligence for Earth System Predictability (AI4ESP …, 2021 | 5 | 2021 |
| Multiple Linear Regression I W Huang | 5 | 2020 |
| Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression WK Huang, YM Chung, YB Wang, JE Mandel, HT Wu Computational Statistics & Data Analysis 174, 107384, 2022 | 4 | 2022 |
| Multi‐Resolution Data Assimilation for Auroral Energy Flux and Mean Energy Using DMSP SSUSI, THEMIS ASI, and an Empirical Model H Wu, X Tan, Q Zhang, W Huang, X Lu, Y Nishimura, Y Zhang Space Weather, e2022SW003146, 2022 | 4 | 2022 |
| Modeling short‐ranged dependence in block extrema with application to polar temperature data BT Russell, WK Huang Environmetrics 32 (3), e2661, 2021 | 3 | 2021 |
| Statistics of extremes with applications in climate WK Huang Purdue University, 2017 | 3 | 2017 |
| Topological data analysis assisted automated sleep stage scoring using airflow signals YM Chung, WK Huang, HT Wu Biomedical Signal Processing and Control 89, 105760, 2024 | 2 | 2024 |
| A conditional approach for joint estimation of wind speed and direction under future climates Q Wu, J Bessac, W Huang, J Wang, R Kotamarthi Advances in Statistical Climatology, Meteorology and Oceanography 8 (2), 205-224, 2022 | 2 | 2022 |
| Joint modeling of wind speed and wind direction through a conditional approach E Murphy, W Huang, J Bessac, J Wang, R Kotamarthi arXiv preprint arXiv:2211.13612, 2022 | 1 | 2022 |
| Station-wise statistical joint assessment of wind speed and direction under future climates across the United States Q Wu, J Bessac, W Huang, J Wang arXiv preprint arXiv:2205.02936, 2022 | 1 | 2022 |
Hao ZhangPurdue University在 purdue.edu 的电子邮件经过验证
