Standout Papers

Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightG... 2021 2026 2022 2024202
  1. Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP (2021)
    Xiao Wen, Yuanchang Xie et al. Accident Analysis & Prevention
  2. DMA-Net: DeepLab With Multi-Scale Attention for Pavement Crack Segmentation (2022)
    Xinzi Sun, Yuanchang Xie et al. IEEE Transactions on Intelligent Transportation Systems

Immediate Impact

57 standout
Sub-graph 1 of 23

Citing Papers

From waste to sustainable pavement: Rejuvenation of asphalt binder using waste engine oil residue and crumb rubber
2025 Standout
Graph neural networks enabled accident causation prediction for maritime vessel traffic
2025 Standout
2 intermediate papers

Works of Liming Jiang being referenced

DMA-Net: DeepLab With Multi-Scale Attention for Pavement Crack Segmentation
2022 Standout
Applications of machine learning methods in traffic crash severity modelling: current status and future directions
2021

Author Peers

Author Last Decade Papers Cites
Liming Jiang 221 217 119 184 22 855
I. Parra 152 458 120 277 42 1.1k
Cong Zhao 75 233 261 123 42 956
Lin Li 94 157 106 397 83 1.1k
Yongsheng Yang 117 188 225 36 18 847
Dayong Wu 172 144 104 99 41 767
Chaozhong Wu 363 104 133 37 27 897
Biao Leng 79 455 115 87 52 1.1k
Yuan Li 127 84 70 297 62 843
Yanlei Gu 57 245 75 46 48 1.1k
Martin Lauer 94 278 120 32 41 955

All Works

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Rankless by CCL
2026