| Analyzing pedestrian crash injury severity under different weather conditions D Li, P Ranjitkar, Y Zhao, H Yi, S Rashidi Traffic injury prevention 18 (4), 427-430, 2017 | 80 | 2017 |
| Spatiotemporal attention-based graph convolution network for segment-level traffic prediction D Li, J Lasenby IEEE Transactions on Intelligent Transportation Systems 23 (7), 8337-8345, 2021 | 56 | 2021 |
| Impacts of gradual automated vehicle penetration on motorway operation: a comprehensive evaluation D Li, P Wagner European transport research review 11, 1-10, 2019 | 56 | 2019 |
| A fuzzy logic‐based variable speed limit controller D Li, P Ranjitkar Journal of advanced transportation 49 (8), 913-927, 2015 | 54 | 2015 |
| Hbonet: Harmonious bottleneck on two orthogonal dimensions D Li, A Zhou, A Yao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 48 | 2019 |
| Learning the superpixel in a non-iterative and lifelong manner L Zhu, Q She, B Zhang, Y Lu, Z Lu, D Li, J Hu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 36 | 2021 |
| Psconv: Squeezing feature pyramid into one compact poly-scale convolutional layer D Li, A Yao, Q Chen Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 36 | 2020 |
| Time-series representation and clustering approaches for sharing bike usage mining D Li, Y Zhao, Y Li IEEE access 7, 177856-177863, 2019 | 33 | 2019 |
| Integrated approach combining ramp metering and variable speed limits to improve motorway performance D Li, P Ranjitkar, A Ceder Transportation Research Record 2470 (1), 86-94, 2014 | 33 | 2014 |
| Resolution switchable networks for runtime efficient image recognition Y Wang, F Sun, D Li, A Yao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 31 | 2020 |
| Dynamic hierarchical mimicking towards consistent optimization objectives D Li, Q Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 28 | 2020 |
| Unifying nonlocal blocks for neural networks L Zhu, Q She, D Li, Y Lu, X Kang, J Hu, C Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 27 | 2021 |
| A logic tree based algorithm for variable speed limit controllers to manage recurrently congested bottlenecks D Li, P Ranjitkar, A Ceder Transportation Research Board 93rd Annual MeetingTransportation Research Board, 2014 | 26 | 2014 |
| Assessing ramp metering and variable speed limits strategies for Auckland motorway D Li, P Ranjitkar Journal of the Eastern Asia Society for Transportation Studies 10, 1856-1871, 2013 | 23 | 2013 |
| Hybrid approach for variable speed limit implementation and application to mixed traffic conditions with connected autonomous vehicles D Li, Y Zhao, P Ranjitkar, H Zhao, Q Bai IET Intelligent Transport Systems 12 (5), 327-334, 2018 | 22 | 2018 |
| Train model acceleration and deceleration QS Yang, JH Song, D Li, J Zhang, GW Yang Science China Technological Sciences 56, 642-647, 2013 | 16 | 2013 |
| A novel approach for mixed manual/connected automated freeway traffic management D Li, P Wagner Sensors 20 (6), 1757, 2020 | 15 | 2020 |
| A multi-categorical probabilistic approach for short-term bike sharing usage prediction D Li, Y Zhao Ieee Access 7, 81364-81369, 2019 | 15 | 2019 |
| Analyzing injury severity of bus passengers with different movements D Li, Y Zhao, Q Bai, B Zhou, H Ling Traffic injury prevention 18 (5), 528-532, 2017 | 15 | 2017 |
| Learning to learn parameterized classification networks for scalable input images D Li, A Yao, Q Chen Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 13 | 2020 |
Prakash RanjitkarSenior Lecturer, Department of Civil and Environmental Engineering, University of AucklandVerified email at auckland.ac.nz
