| Understanding guest satisfaction with urban hotel location Y Yang, Z Mao, J Tang Journal of Travel Research 57 (2), 243-259, 2018 | 182 | 2018 |
| Hotel location evaluation: A combination of machine learning tools and web GIS Y Yang, J Tang, H Luo, R Law International Journal of Hospitality Management 47, 14-24, 2015 | 113 | 2015 |
| Conditions associated with rain field size for tropical cyclones landfalling over the Eastern United States Y Zhou, C Matyas, H Li, J Tang Atmospheric research 214, 375-385, 2018 | 27 | 2018 |
| Using an object-based approach to quantify the spatial structure of reflectivity regions in Hurricane Isabel (2003). Part I: Comparisons between radar observations and model … CJ Matyas, SE Zick, J Tang Monthly Weather Review 146 (5), 1319-1340, 2018 | 24 | 2018 |
| A citizen-contributed GIS approach for evaluating the impacts of land use on hurricane-Harvey-induced flooding in Houston area D Yang, A Yang, H Qiu, Y Zhou, H Herrero, CS Fu, Q Yu, J Tang Land 8 (2), 25, 2019 | 18 | 2019 |
| Study on the thermal environment of land surface in shanghai with multitemporal remote sensing images M Chen, H Zhang, J Tang, W Chen, Y Zhang, W Ma China Environmental Science 7, 2011 | 14* | 2011 |
| A nowcasting model for tropical cyclone precipitation regions based on the TREC motion vector retrieval with a semi-Lagrangian scheme for Doppler weather radar J Tang, C Matyas Atmosphere 9 (5), 200, 2018 | 13 | 2018 |
| Measuring radial and tangential changes in tropical cyclone rain fields using metrics of dispersion and closure C Matyas, J Tang Advances in Meteorology 2019, 2019 | 9 | 2019 |
| Fast playback framework for analysis of ground-based Doppler radar observations using MapReduce technology J Tang, CJ Matyas Journal of Atmospheric and Oceanic Technology 33 (4), 621-634, 2016 | 9 | 2016 |
| Illustration of an object‐based approach to identify structural differences in tropical cyclone wind fields S Zick, C Matyas, G Lackmann, J Tang, B Bennett Quarterly Journal of the Royal Meteorological Society 148 (746), 2587-2606, 2022 | 6 | 2022 |
| Arc4nix: A cross-platform geospatial analytical library for cluster and cloud computing J Tang, CJ Matyas Computers & Geosciences 111, 159-166, 2018 | 6 | 2018 |
| Preliminary study on Mallambyx raddei control using Sclerodrema sp Z Xie, X Zhang, P Zhang, M Cui, D Jiang, J Tang, Z Zhang, X Sui, B Hou, ... For. Sci. Tech 29, 10-14, 2000 | 3 | 2000 |
| Design and Realization of Information System of Supervision and Management for Harbour Governance Based on PDA X Wang, J Tang, W Ma, Q Yu Jisuanji Yingyong yu Ruanjian 26 (5), 2009 | 2 | 2009 |
| Assessing environmental conditions associated with spatially varying rainfall structure of North Atlantic tropical cyclones: An object‐based climatological analysis Y Zhou, L Zhu, CJ Matyas, H Luan, J Tang International Journal of Climatology 43 (12), 5464-5484, 2023 | 1 | 2023 |
| Measuring gaps in tropical cyclone rainbands using Level II radar reflectivity data CJ Matyas, J Tang 69th Annual IHC meeting, 2015 | 1 | 2015 |
| Predicting weather radar images J Tang US Patent US11169263B2, 2021 | | 2021 |
| High Efficiency Weather Radar Mosaic Image Generation Framework J Tang, CJ Matyas 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 367-369, 2021 | | 2021 |
| Analyzing the Location of TC Rainbands Relative to the Storm Center Using Metrics of Dispersion, Displacement, and Closure to Account for Changes in Radial and Tangential … CJ Matyas, J Tang 100th American Meteorological Society Annual Meeting, 2020 | | 2020 |
| Using an Object-Based Approach to Quantify the Influence of Cumulus Parameterization in the Spatial Structure of Precipitation in Hurricane Isabel (2003) SE Zick, CJ Matyas, GM Lackmann, J Tang 33rd Conference on Hurricanes and Tropical Meteorology, 2018 | | 2018 |
| Design a Fast Multi-Radar Gridding Algorithm on Modern CPU and GPU Hardware J Tang, K Park, CJ Matyas, M Schneider 38th Conference on Radar Meteorology, 2017 | | 2017 |
