Jinghao Miao
- Automotive Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Building and Construction
- Artificial Intelligence
- Co-authors
- Jiangtao HuQi LuoHongyi SunShu JiangYu WangYifei JiangSiyang YuXinwei Wang
- Topics
- Autonomous Vehicle Technology and Safety (11 papers)Vehicle Dynamics and Control Systems (3 papers)Web Data Mining and Analysis (3 papers)
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- IEEE Robotics and Automation LettersJournal of Spinal Disorders & TechniquesarXiv (Cornell University)
- Partner nations
- United StatesChina
In The Last Decade
Jinghao Miao
15 papers receiving 249 citations
Peers
Comparison fields: 5 of 44
- Automotive Engineering 186
- Computer Vision and Pattern Recognition 122
- Control and Systems Engineering 86
- Building and Construction 43
- Artificial Intelligence 30
Countries citing papers authored by Jinghao Miao
This map shows the geographic impact of Jinghao Miao'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 Jinghao Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinghao Miao more than expected).
Fields of papers citing papers by Jinghao Miao
This network shows the impact of papers produced by Jinghao Miao. 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 Jinghao Miao. The network helps show where Jinghao Miao may publish in the future.
Co-authorship network of co-authors of Jinghao Miao
This figure shows the co-authorship network connecting the top 25 collaborators of Jinghao Miao. A scholar is included among the top collaborators of Jinghao Miao 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 Jinghao Miao. Jinghao Miao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 3 | |
| 3 | 20 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 50 | |
| 7 | 21 | |
| 8 | 57 | |
| 9 | 4 | |
| 10 | 30 | |
| 11 | 39 | |
| 12 | 16 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 0 | |
| 16 | 2 |
About Jinghao Miao
Jinghao Miao is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 16 papers that have together received 270 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (11 papers), Vehicle Dynamics and Control Systems (3 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Automotive Engineering (186 citations), Computer Vision and Pattern Recognition (122 citations) and Control and Systems Engineering (86 citations). Jinghao Miao has collaborated with scholars based in United States and China. Frequent co-authors include Jiangtao Hu, Qi Luo, Hongyi Sun, Shu Jiang, Yu Wang, Yifei Jiang, Siyang Yu, Xinwei Wang, Deyu Chen and Yu Chen. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Spinal Disorders & Techniques and arXiv (Cornell University).
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.