Songyi Zhang
- Automotive Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Aerospace Engineering
- Artificial Intelligence
- Co-authors
- Nanning ZhengShitao ChenZhiqiang JianYu ChenBadong ChenZhixiong NanTong XiaoMasayoshi Tomizuka
- Topics
- Robotic Path Planning Algorithms (13 papers)Autonomous Vehicle Technology and Safety (12 papers)Robotics and Sensor-Based Localization (9 papers)
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionControl and Systems Engineering
- Partner nations
- ChinaUnited States
In The Last Decade
Songyi Zhang
25 papers receiving 399 citations
Peers
Comparison fields: 5 of 62
- Automotive Engineering 203
- Computer Vision and Pattern Recognition 202
- Control and Systems Engineering 150
- Aerospace Engineering 84
- Artificial Intelligence 51
Countries citing papers authored by Songyi Zhang
This map shows the geographic impact of Songyi Zhang'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 Songyi Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songyi Zhang more than expected).
Fields of papers citing papers by Songyi Zhang
This network shows the impact of papers produced by Songyi Zhang. 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 Songyi Zhang. The network helps show where Songyi Zhang may publish in the future.
Co-authorship network of co-authors of Songyi Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Songyi Zhang. A scholar is included among the top collaborators of Songyi Zhang 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 Songyi Zhang. Songyi Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 49 | |
| 11 | 15 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 29 | |
| 15 | 15 | |
| 16 | Improved particle swarm optimization for multi-compartment vehicle routing problem | 1 |
| 17 | 5 | |
| 18 | 5 | |
| 19 | 45 | |
| 20 | 83 |
About Songyi Zhang
Songyi Zhang is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 27 papers that have together received 414 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (13 papers), Autonomous Vehicle Technology and Safety (12 papers) and Robotics and Sensor-Based Localization (9 papers). The work is most often cited by research in Automotive Engineering (203 citations), Computer Vision and Pattern Recognition (202 citations) and Control and Systems Engineering (150 citations). Songyi Zhang has collaborated with scholars based in China and United States. Frequent co-authors include Nanning Zheng, Shitao Chen, Zhiqiang Jian, Yu Chen, Badong Chen, Zhixiong Nan, Yu Chen, Yu Chen, Tong Xiao and Masayoshi Tomizuka. Their work appears in journals such as Renewable Energy, IEEE Transactions on Intelligent Transportation Systems and Neurocomputing.
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.