| Driver drowsiness detection based on non-intrusive metrics considering individual specifics X Wang, C Xu Accident Analysis & Prevention 95, 350-357, 2016 | 174 | 2016 |
| ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model H Huang, O Zheng, D Wang, J Yin, Z Wang, S Ding, H Yin, C Xu, R Yang, ... International Journal of Oral Science 15 (1), 29, 2023 | 74 | 2023 |
| Driver drowsiness detection using mixed-effect ordered logit model considering time cumulative effect X Zhang, X Wang, X Yang, C Xu, X Zhu, J Wei Analytic methods in accident research 26, 100114, 2020 | 51 | 2020 |
| Exploring the impacts of speed variances on safety performance of urban elevated expressways using GPS data C Xu, X Wang, H Yang, K Xie, X Chen Accident Analysis & Prevention 123, 29-38, 2019 | 37 | 2019 |
| Driver drowsiness detection based on non-intrusive metrics considering individual difference C Xu, SJ Pei, XS Wang China Journal of Highway and Transport 29 (10), 118-125, 2016 | 18 | 2016 |
| Modeling bicycle crash costs using big data: A grid-cell-based Tobit model with random parameters K Xie, K Ozbay, D Yang, C Xu, H Yang Journal of Transport Geography 91, 102953, 2021 | 14 | 2021 |
| Spatial Analysis of Taxi Speeding Event Using GPS Trajectory Data * C Fu, Y Zhou, C Xu, H Cui 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 122-127, 2019 | 11 | 2019 |
| A hybrid LSTM-Based ensemble learning approach for China coastal bulk coal freight index prediction W Xiao, C Xu, H Liu, X Liu Journal of Advanced Transportation 2021, 1-23, 2021 | 8 | 2021 |
| Driver drowsiness level analysis and predication based on decision tree C Xu, X Wang, X Chen Journal of Tongji University (Natural Science) 43 (1), 75-81, 2015 | 8* | 2015 |
| Evaluating Performance of Non-intrusive Indicators on Drowsy Driving Detection C XU, X WANG, X CHEN Journal of Southwest Jiaotong University 49 (4), 720-726, 2014 | 7 | 2014 |
| Modeling fatigue level by driver's lane-keeping indicators C Xu, X Wang, X Chen ICTE 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation, 2282-2288, 2013 | 7 | 2013 |
| Short-term truckload spot rates’ prediction in consideration of temporal and between-route correlations W Xiao, C Xu, H Liu, H Yang, X Liu IEEE Access 8, 81173-81189, 2020 | 6 | 2020 |
| Extracting horizontal curvature data from GIS maps: Clustering method B Bartin, K Ozbay, C Xu Transportation research record 2673 (11), 264-275, 2019 | 5 | 2019 |
| Calibration/development of safety performance functions for New Jersey K Ozbay, H Nassif, B Bartin, C Xu, A Bhattacharyya New Jersey. Department of Transportation. Bureau of Research, 2019 | 4 | 2019 |
| Exploring the impact of truck traffic on road segment-based severe crash proportion using extensive weigh-in-motion data C Xu, K Ozbay, H Liu, K Xie, D Yang Safety science 166, 106261, 2023 | 3 | 2023 |
| Volatility Transmission in Chinese Trucking Markets: An Application Using BEKK, CCC and DCC-MGARCH Models W Xiao, C Xu, H Liu, X Liu 2020 IEEE International Conference on Artificial Intelligence and Computer …, 2020 | 3 | 2020 |
| Driver Behavior Response to Drowsiness Alarming at Different Levels C Xu, Q Guo, X Wang Journal of Southwest Jiaotong University, 2019 | 3 | 2019 |
| Understanding Spatial-temporal Impacts on Mode Preference Between Taxi and Ridesourcing Service C Xu, J Gao, F Zuo, K Ozbay, H Yang, H Cui Transportation Research Board 98th Annual Meeting, 2019 | 3* | 2019 |
| Urban Expressway Speed Spatial Inconsistency and Its Effect on Safety C Xu, X Wang, X Chen Transportation Research Board 91st Annual MeetingTransportation Research Board, 2012 | 3 | 2012 |
| Temporal instability assessment of motorcyclist-injury severities using categorical principal component analysis and random parameter approach with heterogeneity in means Q Yu, Y Zhou, C Xu, EA Atumo, X Jiang Journal of Transportation Safety & Security 16 (4), 347-374, 2024 | 1 | 2024 |
Xuesong WangTongji UniversityVerified email at tongji.edu.cn
