| Impacts of COVID-19 on public transit ridership Y Qi, J Liu, T Tao, Q Zhao International Journal of Transportation Science and Technology 12 (1), 34-45, 2023 | 108 | 2023 |
| Analysis of factors contributing to the severity of large truck crashes J Li, J Liu, P Liu, Y Qi Entropy 22 (11), 1191, 2020 | 34 | 2020 |
| Using Bidirectional Encoder Representations from Transformers (BERT) to classify traffic crash severity types AH Oliaee, S Das, J Liu, MA Rahman Natural Language Processing Journal 3, 100007, 2023 | 28 | 2023 |
| Predicting pedestrian-involved crash severity using inception-v3 deep learning model MN Khan, S Das, J Liu Accident Analysis & Prevention 197, 107457, 2024 | 15 | 2024 |
| Deep learning based automated segmentation of air-void system in hardened concrete surface using three dimensional reconstructed images J Tao, H Gong, F Wang, X Luo, X Qiu, J Liu Construction and Building Materials 324, 126717, 2022 | 9 | 2022 |
| Decoding the impacts of contributory factors and addressing social disparities in crash frequency analysis J Liu, S Das, MN Khan Accident Analysis & Prevention 194, 107375, 2024 | 8 | 2024 |
| Signal timing and geometric design at contraflow left-turn lane intersections R Guo, J Liu, Q Zhao, Y Qi International journal of transportation science and technology 11 (3), 619-635, 2022 | 8 | 2022 |
| An Innovative Signal Timing Strategy for Implementing Contraflow Left-Turn Lanes at Signalized Intersections with Split Phasing R Guo, J Liu, Y Qi Sustainability 13 (11), 6307, 2021 | 8 | 2021 |
| 城市道路十字交叉口通行能力研究 胡永举， 施俊庆， 陶珏强， 刘锦俐 浙江师范大学学报: 自然科学版 38 (4), 466-472, 2015 | 6 | 2015 |
| Scientometric and bibliographic analysis of pedestrian safety research S Das, X Kong, Z Wei, J Liu Transportation research record 2677 (12), 65-82, 2023 | 5 | 2023 |
| ChatGPT as the Transportation Equity Information Source for Scientific Writing B Kutela, S Li, S Das, J Liu arXiv preprint arXiv:2303.11158, 2023 | 4 | 2023 |
| Analysis of the Performance of Machine Learning Models in Predicting the Severity Level of Large-Truck Crashes J Liu, Y Qi, J Tao, T Tao Future Transportation 2 (4), 939-955, 2022 | 4 | 2022 |
| Understanding patterns of factor influences in motorcycle crashes with fixed objects S Das, R Dzinyela, J Liu, B Dadashova, C Silvestri-Dobrovolny Journal of Transportation Safety & Security, 1-27, 2024 | 3 | 2024 |
| Understanding non-motorists' views on automated vehicle safety through Bayesian network analysis and latent Dirichlet allocation S Das, A Sheykhfard, J Liu, MN Khan International Journal of Transportation Science and Technology 14, 289-304, 2024 | 3 | 2024 |
| Exploring dynamic urban mobility patterns from traffic flow data using community detection J Liu, Y Yuan Annals of GIS, 1-20, 2024 | 3 | 2024 |
| Short-Duration Crash Modeling to Understand the Impact of Operating Speed on Freeway Crashes During COVID-19 S Das, A Khodadadi, J Liu Transportation Research Record 2678 (12), 632-642, 2024 | 1 | 2024 |
| Spatial analysis of geographical disparities in pedestrian safety J Liu, S Das, FB Zhan, MN Khan Transport Policy 156, 164-181, 2024 | 1 | 2024 |
| Development of Guidelines for Implementation of Contraflow Left-Turn Lanes at Signalized Intersections Y Qi, Q Zhao, J Liu, T Tao, L Zhou, M Azimi, R Guo University of North Carolina at Charlotte. Center for Advanced Multimodal …, 2020 | 1 | 2020 |
| Revealing equity gaps in pedestrian crash data through explainable artificial intelligence clustering J Liu, G Antariksa, S Somvanshi, S Das Transportation Research Part D: Transport and Environment 139, 104538, 2025 | | 2025 |
| Automated and Explainable Artificial Intelligence to Enhance Prediction of Pedestrian Injury Severity G Antariksa, R Tamakloe, J Liu, S Das IEEE Transactions on Intelligent Transportation Systems, 2025 | | 2025 |
Subasish DasAssistant Professor, Texas State UniversityZweryfikowany adres z txstate.edu