| Driving safety assessment for ride-hailing drivers H Mao, X Deng, H Jiang, L Shi, H Li, L Tuo, D Shi, F Guo Accident Analysis & Prevention 149, 105574, 2021 | 44 | 2021 |
| Hierarchical profiling inputs and self-adaptive fraud detection system Y Jia, MAO Huiying, SJ Wang, C Marcjan, JNM Nanduri US Patent App. 15/711,150, 2019 | 29 | 2019 |
| Decision-adjusted driver risk predictive models using kinematics information H Mao, F Guo, X Deng, ZR Doerzaph Accident Analysis & Prevention 156, 106088, 2021 | 17 | 2021 |
| Valid model-free spatial prediction H Mao, R Martin, BJ Reich Journal of the American Statistical Association 119 (546), 904-914, 2024 | 15 | 2024 |
| Associations between high caffeine consumption, driving safety indicators, sleep and health behaviours in truck drivers AJ Filtness, JS Hickman, JE Mabry, L Glenn, H Mao, M Camden, ... Safety science 126, 104664, 2020 | 14 | 2020 |
| Commercial Driver Safety Risk Factors (CDSRF) JS Hickman, JE Mabry, L Marburg, F Guo, M Huiying, RJ Hanowski, ... United States. Department of Transportation. Federal Motor Carrier Safety …, 2020 | 13 | 2020 |
| Adjusting finite sample bias in traffic safety modeling H Mao, X Deng, D Lord, G Flintsch, F Guo Accident Analysis & Prevention 131, 112-121, 2019 | 7 | 2019 |
| Analyzing Highway Safety Datasets: Simplifying Statistical Analyses from Sparse to Big Data D Lord, SR Geedipally, F Guo, A Jahangiri, M Shirazi, H Mao, X Deng SAFE-D: Safety Through Disruption National University Transportation Center, 2019 | 6 | 2019 |
| An evaluation of Wheeler's method for monitoring the rate of rare events H Mao, CN Ginther, WH Woodall Quality and Reliability Engineering International 33 (3), 503-513, 2017 | 5 | 2017 |
| Adaptive fraud detection system using dynamic risk features H Mao, Y Liu, Y Jia, J Nanduri arXiv preprint arXiv:1810.04654, 2018 | 4 | 2018 |
| Inventory Item Prediction and Listing Recommendation Z Zhang, MAO Huiying, S Shen, PH Ieong, A Mardikar US Patent App. 17/323,717, 2022 | 1 | 2022 |
| Clustering-based Imputation for Dropout Buyers in Large-scale Online Experimentation S Shen, H Mao, Z Zhang, Z Chen, K Nie, X Deng arXiv preprint arXiv:2209.06125, 2022 | 1 | 2022 |
| Boosting Sensitivity of Large-scale Online Experimentation via Dropout Buyer Imputation. S Shen, H Mao, Z Zhang, Z Chen, K Nie, X Deng CoRR, 2022 | | 2022 |
| Optimal Driver Risk Modeling H Mao Virginia Tech, 2019 | | 2019 |
| Big Data Methodologies for Simplifying Traffic Safety Analyses (01-001)[supporting dataset] D Lord, F Guo, X Deng, H Mao | | 2019 |
| Rejoinder two, QE V 31, I3 S Shen, H Mao, X Deng Quality Engineering 31 (3), 2019 | | 2019 |
| An EM-algorithm approach to open challenges on correlation of intermediate and final measurements S Shen, H Mao, X Deng Quality Engineering 31 (3), 505-510, 2019 | | 2019 |
Xinwei DengProfessor of Statistics, Virginia Tech在 vt.edu 的电子邮件经过验证
