Ding Zhao

5.8k citations

144 papers · 3.3k · 2 hit papers · h-index 31

Impact in

Automotive Engineering top 0.5%
- Autonomous Vehicle Technology and Safety
Safety, Risk, Reliability and Quality top 0.5%
- Traffic and Road Safety

Papers in

Automotive Engineering 47
- Autonomous Vehicle Technology and Safety 38
Artificial Intelligence 45
- Reinforcement Learning in Robotics 9
- Adversarial Robustness in Machine Learning 9

Co-authors: Wenshuo Wang (14 shared papers)Henry Lam (21 shared papers)Huei Peng (14 shared papers)David J. LeBlanc (11 shared papers)Wenhao Ding (14 shared papers)Junqiang Xi (3 shared papers)Baiming Chen (6 shared papers)Tara N. Sainath (7 shared papers)
Journals: IEEE Transactions on Intelligent Transportation Systems (13 papers)IEEE Robotics and Automation Letters (4 papers)IEEE Transactions on Intelligent Vehicles (2 papers)IEEE Access (2 papers)Nature Communications (2 papers)
Partner nations: United States China Hong Kong

In The Last Decade

Ding Zhao

137 papers receiving 3.2k citations

Ding Zhao's Hit Papers

align trajectories log scale

A Survey on Safety-Critical Driving Scenario Generation—A Methodological Perspective 2023 · 130 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 IEEE Transactions on Intelligent Transportation Systems
2019 Streaming End-to-end Speech Recognition for Mobile Devices

Peers

Countries citing papers authored by Ding Zhao

Since Specialization

Citations

This map shows the geographic impact of Ding Zhao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ding Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Zhao more than expected).

Fields of papers citing papers by Ding Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding Zhao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ding Zhao. The network helps show where Ding Zhao may publish in the future.

Co-authors

The 25 scholars most cited alongside Ding Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ding Zhao Line = papers co-authored together Ding Zhao links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Streaming End-to-end Speech Recognition for Mobile Devices Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, Ian McGraw, Raziel Álvarez, Ding Zhao, David Rybach, Anjuli Kannan, Yonghui Wu, Ruoming Pang, Qiao Liang, Deepti Bhatia, Yuan Shangguan, Bo Li, Golan Pundak, Khe Chai Sim, Tom Bagby, Shuo-Yiin Chang, Kanishka Rao, Alexander Gruenstein Hit paper breakdown →	2019	356
2	Accelerated Evaluation of Automated Vehicles Safety in Lane-Change Scenarios Based on Importance Sampling Techniques IEEE Transactions on Intelligent Transportation Systems ·Ding Zhao, Henry Lam, Huei Peng, Shan Bao, David J. LeBlanc, Kazutoshi Nobukawa, Christopher S. Pan	2016	302
3	Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers IEEE Transactions on Intelligent Transportation Systems ·Ding Zhao, Xianan Huang, Huei Peng, Henry Lam, David J. LeBlanc	2017	171
4	Intelligent and connected vehicles: Current status and future perspectives Science China Technological Sciences ·Diange Yang, Kun Jiang, Ding Zhao, Chunlei Yu, Zhong Cao, Shichao Xie, Zhongyang Xiao, Xinyu Jiao, Sijia Wang, Kai Zhang	2018	132
5	A Survey on Safety-Critical Driving Scenario Generation—A Methodological Perspective IEEE Transactions on Intelligent Transportation Systems ·Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao Hit paper breakdown →	2023	130
6	Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches IEEE Transactions on Intelligent Transportation Systems ·Wenshuo Wang, Junqiang Xi, Ding Zhao	2018	120
7	Deep Context: End-to-end Contextual Speech Recognition Golan Pundak, Tara N. Sainath, Rohit Prabhavalkar, Anjuli Kannan, Ding Zhao	2018	106
8	A Learning-Based Approach for Lane Departure Warning Systems With a Personalized Driver Model IEEE Transactions on Vehicular Technology ·Wenshuo Wang, Ding Zhao, Wei Han, Junqiang Xi	2018	100
9	Shallow-Fusion End-to-End Contextual Biasing Ding Zhao, Tara N. Sainath, David Rybach, Pat Rondon, Deepti Bhatia, Bo Li, Ruoming Pang	2019	90
10	Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method Wenhao Ding, Baiming Chen, Minjun Xu, Ding Zhao	2020	74
11	MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao	2020	70
12	The fate of microplastic pollution in the Changjiang River estuary: A review Journal of Cleaner Production ·Yifei Li, Qingbing Lu, Jian Yang, Yi Xing, Wei Ling, Kai Liu, Qizhen Yang, Hongjie Ma, Zengxin Pei, Tianqi Wu, Haochen Guo, Ziyuan Gao, Lianfeng Zhao, Junnan Sun, Fan Yang, Xiumei Tang, Xiaoyan Li, Ding Zhao	2023	65
13	Extracting Traffic Primitives Directly From Naturalistically Logged Data for Self-Driving Applications IEEE Robotics and Automation Letters ·Wenshuo Wang, Ding Zhao	2018	63
14	Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models IEEE Transactions on Intelligent Transportation Systems ·Zhiyuan Huang, Henry Lam, David J. LeBlanc, Ding Zhao	2017	63
15	How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior IEEE Transactions on Intelligent Vehicles ·Wenshuo Wang, Chang Liu, Ding Zhao	2017	63
16	Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation IEEE Robotics and Automation Letters ·Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao	2021	61
17	Review of research on migration, distribution, biological effects, and analytical methods of microfibers in the environment The Science of The Total Environment ·Yifei Li, Qing‐Bin Lu, Yi Xing, Kai Liu, Wei Ling, Jian Yang, Qizhen Yang, Tianqi Wu, Jia‐Fu Zhang, Zengxin Pei, Ziyuan Gao, Xiaoyan Li, Fan Yang, Hongjie Ma, Kehan Liu, Ding Zhao	2022	58
18	Highway Exiting Planner for Automated Vehicles Using Reinforcement Learning IEEE Transactions on Intelligent Transportation Systems ·Zhong Cao, Diange Yang, Shaobing Xu, Huei Peng, Boqi Li, Shuo Feng, Ding Zhao	2020	50
19	Empirical Study of DSRC Performance Based on Safety Pilot Model Deployment Data IEEE Transactions on Intelligent Transportation Systems ·Xianan Huang, Ding Zhao, Huei Peng	2017	48
20	Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Hanjiang Hu, Zuxin Liu, Sharad Chitlangia, Akhil Agnihotri, Ding Zhao	2022	45

About Ding Zhao

Ding Zhao is a scholar working on Automotive Engineering, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 144 papers that have together received 3.3k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (38 papers), Traffic control and management (24 papers), Traffic and Road Safety (13 papers), Traffic Prediction and Management Techniques (10 papers), Reinforcement Learning in Robotics (9 papers), Adversarial Robustness in Machine Learning (9 papers), Human-Automation Interaction and Safety (7 papers) and Vehicular Ad Hoc Networks (VANETs) (7 papers). The work is most often cited by research in Automotive Engineering (1.6k citations), Safety, Risk, Reliability and Quality (457 citations), Software (175 citations), Signal Processing (411 citations) and Control and Systems Engineering (807 citations). Ding Zhao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Wenshuo Wang, Henry Lam, Huei Peng, David J. LeBlanc, Wenhao Ding, Junqiang Xi, Baiming Chen, Tara N. Sainath, Zhiyuan Huang and Xianan Huang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Robotics and Automation Letters, IEEE Transactions on Intelligent Vehicles, IEEE Access and Nature Communications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Ding Zhao's Hit Papers

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About Ding Zhao

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