Ding Zhao
- Automotive Engineering top 0.5%
- Autonomous Vehicle Technology and Safety 38
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- Traffic and Road Safety 13
- Software top 2%
- Signal Processing top 2%
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- Traffic control and management 24
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- Traffic Prediction and Management Techniques 10
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- Adversarial Robustness in Machine Learning 9
- Reinforcement Learning in Robotics 9
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- Human-Automation Interaction and Safety 7
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- Probability and Risk Models 7
- Co-authors
- Wenshuo WangHuei PengHenry LamDavid J. LeBlancWenhao DingJunqiang XiZhiyuan HuangBaiming Chen
- Journals
- IEEE Transactions on Intelligent Transportation Systems (13 papers)IEEE Robotics and Automation Letters (4 papers)IEEE Access (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Ding Zhao
131 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Automotive Engineering 1.5k
- Safety, Risk, Reliability and Quality 459
- Software 173
- Signal Processing 402
- Control and Systems Engineering 789
Countries citing papers authored by Ding Zhao
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 2 | |
| 10 | A Survey on Safety-Critical Driving Scenario Generation—A Methodological Perspectivebreakdown → | 2023 | 119 |
| 11 | 2022 | 2 | |
| 12 | 2022 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2020 | 68 | |
| 15 | 2019 | 1 | |
| 16 | 2018 | 95 | |
| 17 | 2018 | 11 | |
| 18 | Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters. | 2018 | 4 |
| 19 | 2018 | 3 | |
| 20 | 2017 | 4 |
About Ding Zhao
Ding Zhao is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality, Control and Systems Engineering, Artificial Intelligence and Management Science and Operations Research, having authored 141 papers that have together received 3.1k 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), Adversarial Robustness in Machine Learning (9 papers), Reinforcement Learning in Robotics (9 papers), Human-Automation Interaction and Safety (7 papers) and Probability and Risk Models (7 papers). The work is most often cited by research in Automotive Engineering (1.5k citations), Safety, Risk, Reliability and Quality (459 citations), Software (173 citations), Signal Processing (402 citations) and Control and Systems Engineering (789 citations). Ding Zhao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Wenshuo Wang, Huei Peng, Henry Lam, David J. LeBlanc, Wenhao Ding, Junqiang Xi, Zhiyuan Huang, Baiming Chen, Kazutoshi Nobukawa and Tara N. Sainath. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Robotics and Automation Letters, IEEE Access, Journal of Cleaner Production and IEEE Transactions on Intelligent Vehicles.
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.