| A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling C Wang, Y Xie, H Huang, P Liu Accident Analysis & Prevention 157, 106157, 2021 | 510 | 2021 |
| Severity of driver injury and vehicle damage in traffic crashes at intersections: a Bayesian hierarchical analysis H Huang, HC Chin, MM Haque Accident Analysis & Prevention 40 (1), 45-54, 2008 | 469 | 2008 |
| Multilevel data and Bayesian analysis in traffic safety H Huang, M Abdel-Aty Accident Analysis & Prevention 42 (6), 1556-1565, 2010 | 376 | 2010 |
| A study on crashes related to visibility obstruction due to fog and smoke M Abdel-Aty, AA Ekram, H Huang, K Choi Accident Analysis & Prevention 43 (5), 1730-1737, 2011 | 361 | 2011 |
| County-level crash risk analysis in Florida: Bayesian spatial modeling H Huang, MA Abdel-Aty, AL Darwiche Transportation Research Record 2148 (1), 27-37, 2010 | 350 | 2010 |
| Modeling crash spatial heterogeneity: Random parameter versus geographically weighting P Xu, H Huang Accident Analysis & Prevention 75, 16-25, 2015 | 313 | 2015 |
| Exploring a Bayesian hierarchical approach for developing safety performance functions for a mountainous freeway M Ahmed, H Huang, M Abdel-Aty, B Guevara Accident Analysis & Prevention 43 (4), 1581-1589, 2011 | 280 | 2011 |
| Diagnostic analysis of the effects of weather condition on pedestrian crash severity X Zhai, H Huang, NN Sze, Z Song, KK Hon Accident Analysis & Prevention 122, 318-324, 2019 | 273 | 2019 |
| Crash injury severity analysis using a two-layer Stacking framework J Tang, J Liang, C Han, Z Li, H Huang Accident Analysis & Prevention 122, 226-238, 2019 | 271 | 2019 |
| Support vector machine in crash prediction at the level of traffic analysis zones: assessing the spatial proximity effects N Dong, H Huang, L Zheng Accident Analysis & Prevention 82, 192-198, 2015 | 217 | 2015 |
| Motor vehicle–bicycle crashes in Beijing: Irregular maneuvers, crash patterns, and injury severity X Yan, M Ma, H Huang, M Abdel-Aty, C Wu Accident Analysis & Prevention 43 (5), 1751-1758, 2011 | 206 | 2011 |
| Applying Bayesian hierarchical models to examine motorcycle crashes at signalized intersections MM Haque, HC Chin, H Huang Accident Analysis & Prevention 42 (1), 203-212, 2010 | 194 | 2010 |
| Corridor-level signalized intersection safety analysis in Shanghai, China using Bayesian hierarchical models K Xie, X Wang, H Huang, X Chen Accident Analysis & Prevention 50, 25-33, 2013 | 190 | 2013 |
| Modeling fault among motorcyclists involved in crashes MM Haque, HC Chin, H Huang Accident Analysis & Prevention 41 (2), 327-335, 2009 | 190 | 2009 |
| Statistical and machine-learning methods for clearance time prediction of road incidents: A methodology review J Tang, L Zheng, C Han, W Yin, Y Zhang, Y Zou, H Huang Analytic methods in accident research 27, 100123, 2020 | 187 | 2020 |
| A stable and optimized neural network model for crash injury severity prediction Q Zeng, H Huang Accident Analysis & Prevention 73, 351-358, 2014 | 172 | 2014 |
| A multivariate spatial model of crash frequency by transportation modes for urban intersections H Huang, H Zhou, J Wang, F Chang, M Ma Analytic methods in accident research 14, 10-21, 2017 | 171 | 2017 |
| Empirical evaluation of alternative approaches in identifying crash hot spots: Naive ranking, empirical bayes, full bayes methods H Huang, HC Chin, MM Haque Transportation Research Record 2103 (1), 32-41, 2009 | 168 | 2009 |
| Bayesian spatial joint modeling of traffic crashes on an urban road network Q Zeng, H Huang Accident Analysis & Prevention 67, 105-112, 2014 | 166 | 2014 |
| Macro and micro models for zonal crash prediction with application in hot zones identification H Huang, B Song, P Xu, Q Zeng, J Lee, M Abdel-Aty Journal of transport geography 54, 248-256, 2016 | 164 | 2016 |