Hongbo Gao
- Automotive Engineering top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Control and Systems Engineering top 1%
- Artificial Intelligence top 5%
- Aerospace Engineering top 5%
- Topics
- Autonomous Vehicle Technology and Safety (39 papers)Traffic control and management (16 papers)Robotic Path Planning Algorithms (14 papers)
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Cleaner Production
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Hongbo Gao
143 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Automotive Engineering 1.3k
- Computer Vision and Pattern Recognition 1.1k
- Control and Systems Engineering 886
- Artificial Intelligence 407
- Aerospace Engineering 356
Countries citing papers authored by Hongbo Gao
This map shows the geographic impact of Hongbo Gao'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 Hongbo Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongbo Gao more than expected).
Fields of papers citing papers by Hongbo Gao
This network shows the impact of papers produced by Hongbo Gao. 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 Hongbo Gao. The network helps show where Hongbo Gao may publish in the future.
Co-authorship network of co-authors of Hongbo Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Hongbo Gao. A scholar is included among the top collaborators of Hongbo Gao 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 Hongbo Gao. Hongbo Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 32 | |
| 11 | 20 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 25 | |
| 15 | 13 | |
| 16 | 16 | |
| 17 | 2 | |
| 18 | 63 | |
| 19 | 26 | |
| 20 | The nonlinear analysis of reinforced concrete frame | 0 |
About Hongbo Gao
Hongbo Gao is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 163 papers that have together received 3.5k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (39 papers), Traffic control and management (16 papers) and Robotic Path Planning Algorithms (14 papers). The work is most often cited by research in Automotive Engineering (1.3k citations), Computer Vision and Pattern Recognition (1.1k citations) and Control and Systems Engineering (886 citations). Hongbo Gao has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Deyi Li, Keqiang Li, Jianqiang Wang, Guotao Xie, Bo Cheng, Jianhui Zhao, Yingfeng Cai, Hai Wang, Long Chen and Zhen Kan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Cleaner Production.
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.