| A deep learning approach for detecting traffic accidents from social media data Z Zhang, Q He, J Gao, M Ni Transportation research part C: emerging technologies 86, 580-596, 2018 | 368 | 2018 |
| Spatial-temporal traffic flow pattern identification and anomaly detection with dictionary-based compression theory in a large-scale urban network Z Zhang, Q He, H Tong, J Gou, X Li Transportation Research Part C: Emerging Technologies 71, 284-302, 2016 | 78 | 2016 |
| Potentials of using social media to infer the longitudinal travel behavior: A sequential model-based clustering method Z Zhang, Q He, S Zhu Transportation Research Part C: Emerging Technologies 85, 396-414, 2017 | 76 | 2017 |
| Performance measure for reliable travel time of emergency vehicles Z Zhang, Q He, J Gou, X Li Transportation Research Part C: Emerging Technologies 65, 97-110, 2016 | 48 | 2016 |
| Exploratory study on correlation between Twitter concentration and traffic surges Z Zhang, M Ni, Q He, J Gao, J Gou, X Li Transportation Research Record 2553 (1), 90-98, 2016 | 35 | 2016 |
| Traffic signal control with partial grade separation for oversaturated conditions Q He, R Kamineni, Z Zhang Transportation research part C: emerging technologies 71, 267-283, 2016 | 30 | 2016 |
| Mining transportation information from social media for planned and unplanned events Z Zhang, M Ni, J Gao, Q He University Transportation Centers Program (US), 2016 | 26 | 2016 |
| Method, apparatus, and system for propagating learned traffic sign data in a road network Z Zhang, L Stenneth, Z Sebastian US Patent 10,818,165, 2020 | 19 | 2020 |
| Analyzing travel time reliability and its influential factors of emergency vehicles with generalized extreme value theory Z Zhang, Q He, J Gou, X Li Journal of Intelligent Transportation Systems 23 (1), 1-11, 2019 | 12 | 2019 |
| Bi-national delay pattern analysis for commercial and passenger vehicles at niagara frontier border Z Zhang, L Lin, L Zhu, A Sharma arXiv preprint arXiv:1711.09723, 2017 | 12 | 2017 |
| Method, apparatus, and system for traffic sign learning based on road network connectivity Z Zhang, L Stenneth, Z Sebastian US Patent App. 15/957,533, 2019 | 11 | 2019 |
| Methods and systems for roadwork zone identification Z Zhang, L Stenneth US Patent 11,244,177, 2022 | 9 | 2022 |
| Method, apparatus, and system for traffic sign learning L Stenneth, Z Sebastian, Z Zhang, L Nookala, P Chauhan, PK Nagarajan, ... US Patent 10,762,364, 2020 | 8 | 2020 |
| Methods and systems for lane change assistance for a vehicle L Stenneth, Z Zhang US Patent App. 16/358,386, 2020 | 7 | 2020 |
| Social media in transportation research and promising applications Z Zhang, Q He Transportation analytics in the era of big data, 23-45, 2019 | 7 | 2019 |
| Abnormal spatial-temporal pattern analysis for niagara frontier border wait times Z Zhang, L Lin arXiv preprint arXiv:1711.00054, 2017 | 7 | 2017 |
| Methods and systems for determining roadwork zone extension based on lane marking data Z Zhang, L Stenneth US Patent 11,010,617, 2021 | 6 | 2021 |
| Method, apparatus, and system for traffic sign learning near a ramp Z Zhang, L Stenneth US Patent App. 15/957,579, 2019 | 6 | 2019 |
| Insert beyond the traffic sign recognition: constructing an auto-pilot map for autonomous vehicles Z Zhang, L Stenneth, R Marappan, Z Sebastian, PS Yu Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances …, 2018 | 5 | 2018 |
| Fusing Social Media and Traditional Traffic Data for Advanced Traveler Information and Travel Behavior Analysis Z Zhang State University of New York at Buffalo, 2017 | 5 | 2017 |
