Chao Yang
- Automotive Engineering top 0.2%
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering top 10%
- Topics
- Electric and Hybrid Vehicle Technologies (42 papers)Vehicle Dynamics and Control Systems (26 papers)Electric Vehicles and Infrastructure (25 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Industrial Electronics
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chao Yang
106 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 95
- Automotive Engineering 1.9k
- Electrical and Electronic Engineering 1.3k
- Control and Systems Engineering 559
- Computer Vision and Pattern Recognition 299
- Mechanical Engineering 294
Countries citing papers authored by Chao Yang
This map shows the geographic impact of Chao Yang'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 Chao Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Yang more than expected).
Fields of papers citing papers by Chao Yang
This network shows the impact of papers produced by Chao Yang. 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 Chao Yang. The network helps show where Chao Yang may publish in the future.
Co-authorship network of co-authors of Chao Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Chao Yang. A scholar is included among the top collaborators of Chao Yang 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 Chao Yang. Chao Yang 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 2 | |
| 11 | 64 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | Design of FIR Hilbert Transformer Based on Matlab | 0 |
| 16 | Research of parallel volume rendering of large-scale battlefield electromagnetic environment | 0 |
| 17 | TECHNOLOGY FOR REALIZATION OF THREE-DIMENSIONAL TEMPERATURE FIELD TO BE VISUALIZED IN DCS | 1 |
| 18 | Program Development of Data-driven Forest Resource Management Information System | 0 |
| 19 | Research and Implementation on Web Publication of Remote Sensing Images | 4 |
| 20 | Positioning Of A Floating Otec Plant By Surface Intake Water | 7 |
About Chao Yang
Chao Yang is a scholar working on Automotive Engineering, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 118 papers that have together received 2.6k indexed citations. Recurring topics across this work include Electric and Hybrid Vehicle Technologies (42 papers), Vehicle Dynamics and Control Systems (26 papers) and Electric Vehicles and Infrastructure (25 papers). The work is most often cited by research in Automotive Engineering (1.9k citations), Control and Systems Engineering (559 citations) and Electrical and Electronic Engineering (1.3k citations). Chao Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Liang Li, Weida Wang, Changle Xiang, Jian Song, Sixiong You, Tianqi Qie, Zheng Chen, Lipeng Zhang, Yahui Zhang and Mingjun Zha. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Industrial 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.