Zhong Yang
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Civil and Structural Engineering top 10%
- Aerospace Engineering top 10%
- Mechanical Engineering
- Topics
- Adaptive Control of Nonlinear Systems (13 papers)Robotic Path Planning Algorithms (12 papers)Power Line Inspection Robots (10 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAutomotive Engineering
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Zhong Yang
59 papers receiving 543 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 173
- Control and Systems Engineering 158
- Civil and Structural Engineering 132
- Aerospace Engineering 96
- Mechanical Engineering 93
Countries citing papers authored by Zhong Yang
This map shows the geographic impact of Zhong 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 Zhong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhong Yang more than expected).
Fields of papers citing papers by Zhong Yang
This network shows the impact of papers produced by Zhong 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 Zhong Yang. The network helps show where Zhong Yang may publish in the future.
Co-authorship network of co-authors of Zhong Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhong Yang. A scholar is included among the top collaborators of Zhong 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 Zhong Yang. Zhong 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 | 66 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | 11 | |
| 14 | 3 | |
| 15 | Design and research of helicopter patrol inspection system for power transmission line based on intelligent diagnosis technology | 1 |
| 16 | UAV collaborative tracking system modeling based on object-oriented Petri net | 2 |
| 17 | A Study on Image Segmentation Techniques | 2 |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 1 |
About Zhong Yang
Zhong Yang is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 62 papers that have together received 573 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (13 papers), Robotic Path Planning Algorithms (12 papers) and Power Line Inspection Robots (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (173 citations), Control and Systems Engineering (158 citations) and Automotive Engineering (80 citations). Zhong Yang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Guoxiong Hu, Li Huang, Yupu Yang, Changliang Xu, Chaolong Zhang, Liping Chen, Bolun Du, Ziheng Zhou, Ji Wu and Cong Chen. Their work appears in journals such as Energies, Applied Sciences and Journal of Energy Storage.
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.