Hang Zhao
- Automotive Engineering top 1%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Safety, Risk, Reliability and Quality top 2%
- Building and Construction top 5%
- Co-authors
- Junru GuChen SunZoey YangBrian WilliamsXin HuangJiquan NgiamAlexander P. McCauleyJonathon Shlens
- Topics
- Autonomous Vehicle Technology and Safety (5 papers)Video Surveillance and Tracking Methods (4 papers)Traffic and Road Safety (3 papers)
- Cited by
- Automotive EngineeringSafety, Risk, Reliability and QualityComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hang Zhao
20 papers receiving 806 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Automotive Engineering 548
- Computer Vision and Pattern Recognition 334
- Artificial Intelligence 202
- Safety, Risk, Reliability and Quality 179
- Building and Construction 176
Countries citing papers authored by Hang Zhao
This map shows the geographic impact of Hang 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 Hang Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Zhao more than expected).
Fields of papers citing papers by Hang Zhao
This network shows the impact of papers produced by Hang 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 Hang Zhao. The network helps show where Hang Zhao may publish in the future.
Co-authorship network of co-authors of Hang Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Hang Zhao. A scholar is included among the top collaborators of Hang Zhao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hang Zhao. Hang Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Constructionbreakdown → | 38 |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 43 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 19 | |
| 12 | 9 | |
| 13 | 12 | |
| 14 | 1 | |
| 15 | 68 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | DenseTNT: End-to-end Trajectory Prediction from Dense Goal Setsbreakdown → | 293 |
| 19 | Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Datasetbreakdown → | 300 |
| 20 | 3 |
About Hang Zhao
Hang Zhao is a scholar working on Automotive Engineering, Signal Processing and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 828 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (5 papers), Video Surveillance and Tracking Methods (4 papers) and Traffic and Road Safety (3 papers). The work is most often cited by research in Automotive Engineering (548 citations), Safety, Risk, Reliability and Quality (179 citations) and Computer Vision and Pattern Recognition (334 citations). Hang Zhao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Junru Gu, Chen Sun, Zoey Yang, Brian Williams, Xin Huang, Jiquan Ngiam, Alexander P. McCauley, Jonathon Shlens, Charles R. Qi and Vijay Vasudevan. Their work appears in journals such as ISPRS Journal of Photogrammetry and Remote Sensing, Molecular Neurodegeneration and Electronics.
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.