| Digital image recognition method of rock particle and pore system and its application C Liu, Q Xu, B Shi, YF Gu | 46 | 2018 |
| 岩石颗粒与孔隙系统数字图像识别方法及应用 刘春， 许强， 施斌， 顾颖凡 岩土工程学报 40 (5), 925-931, 2018 | 29 | 2018 |
| Experiment and DEM numerical simulation for influence of particle size distribution and shape on compressibility of sand T LE, Y GU, C LIU, Y QIN Journal of Engineering Geology 26 (s1), 539-546, 2018 | 16 | 2018 |
| 级配与颗粒形态对砂土压缩性影响的试验和离散元数值模拟 乐天呈， 顾颖凡， 刘春， 秦岩 工程地质学报 26 (s1), 539-546, 2018 | 14 | 2018 |
| 土体 SEM 图像微观结构的识别和统计方法 汤强， 刘春， 顾颖凡， 施斌 桂林理工大学学报 37 (3), 547-552, 2017 | 8 | 2017 |
| 基于离散元法的水力压裂数值模拟 顾颖凡， 卢毅， 刘兵， 刘春 高校地质学报 22 (1), 194, 2016 | 5 | 2016 |
| Numerical simulation of hydraulic fracturing based on discrete element method G Yingfan, LU Yi, LIU Bing, LIU Chun Geological Journal of China Universities 22 (1), 194, 2016 | 5 | 2016 |
| Public preferences and concerns regarding automated vehicle-based transportation services: a mechanism analysis from a Kentucky survey S Wang, Z Li, Y Wang, W Zhao, Y Gu, H Wei Transportation Letters, 1-10, 2024 | 3 | 2024 |
| Macro and micro research on compressibility of soil based on laboratory experiment and discrete element numerical simulation YF Gu Nanjing University: Nanjing, China, 2018 | 3 | 2018 |
| 基于试验和离散元数值模拟的土体压缩性质宏微观研究 顾颖凡 南京: 南京大学, 2018 | 3 | 2018 |
| Why to buy or why not to buy?-Revealing the inherent mechanism and the psychological impacts on the behavior of purchasing automated vehicles Y Gu, S Wang, Z Li, G Zhang, C Ai, P Li Research in Transportation Economics 109, 101516, 2025 | | 2025 |
| Safety Warning System for Connected Vehicles under Spoofing Cyberattacks at A Connected Signalized Intersection – A Deep Learning-based Approach Y Gu, Z Li, H Wei, G Zhang, Y Xu The 104th Annual Meeting of Transportation Research Board, Washington, D.C., 2025 | | 2025 |
| Modeling Dynamic Vehicle-Driver Complex Behaviors at Signalized Intersections Under Cyberattacks Y Xu, Z Li, H Wei, G Zhang, Y Gu The 104th Annual Meeting of Transportation Research Board, Washington, D.C., 2025 | | 2025 |
| Smart Leading Pedestrian Intervals (SLPIs): A Deep Reinforcement Learning Control Strategy for Determining Optimal LPIs Yingfan Gu, Zhixia Li The 103rd Annual Meeting of Transportation Research Board, Washington, D.C., 2024 | | 2024 |
| Machine Learning-Driven Dynamic Trajectory Planning to Support Human-like Automated Driving for Stop-controlled Local Roads Dong Nian, Zhixia Li, Yingfan Gu, Robert Kluger, Heng Wei, Wei Lin The 103rd Annual Meeting of Transportation Research Board, Washington, D.C., 2024 | | 2024 |
| Advanced Radar Sensing-based Investigation of Stop Sign Spacing’s Impact on Vehicle Speeds through Speed Trajectory Analysis Dong Nian, Zhixia Li, Yingfan Gu, Robert Kluger, Heng Wei, Wei Lin The 103rd Annual Meeting of Transportation Research Board, Washington, D.C., 2024 | | 2024 |
| Machine Learning-Based Detection of Cyberattacks at Connected Signalized Intersections using Hidden Markov Models Yingfan Gu, Zhixia Li, Yunpeng Zhang, Shivam Tiwari, Song Wang The 102nd Annual Meeting of Transportation Research Board, Washington, D.C., 2023 | | 2023 |
| Revealing the Hidden Factors that Influence People’s Willingness to Purchase Automated Vehicles? A Mediation Analysis based on Structural Equation Modeling Yingfan Gu, Song Wang, Zhixia Li The 102nd Annual Meeting of Transportation Research Board, Washington, D.C., 2023 | | 2023 |
| 苏州地面沉降区土层微观结构和宏观力学性质分析 顾颖凡， 刘春， 施斌， 吴静红， 周春慧 防灾减灾工程学报 38 (1), 81-86, 2018 | | 2018 |
Chun LiuStanford UniversityVerifisert e-postadresse på Stanford.edu