Yiming Yang
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Aerospace Engineering
- Artificial Intelligence
- Co-authors
- Sethu VijayakumarVladimir IvanWolfgang MerktThomas W. PierceZhibin LiKun WangRuixue LiMaurice Fallon
- Topics
- Robotic Path Planning Algorithms (12 papers)Robotics and Sensor-Based Localization (7 papers)Robot Manipulation and Learning (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringIndustrial and Manufacturing Engineering
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Yiming Yang
22 papers receiving 250 citations
Peers
Comparison fields: 5 of 42
- Control and Systems Engineering 124
- Computer Vision and Pattern Recognition 116
- Biomedical Engineering 77
- Aerospace Engineering 61
- Artificial Intelligence 41
Countries citing papers authored by Yiming Yang
This map shows the geographic impact of Yiming 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 Yiming Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiming Yang more than expected).
Fields of papers citing papers by Yiming Yang
This network shows the impact of papers produced by Yiming 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 Yiming Yang. The network helps show where Yiming Yang may publish in the future.
Co-authorship network of co-authors of Yiming Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Yiming Yang. A scholar is included among the top collaborators of Yiming 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 Yiming Yang. Yiming 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 | 4 | |
| 3 | 10 | |
| 4 | 8 | |
| 5 | 19 | |
| 6 | 8 | |
| 7 | 25 | |
| 8 | 12 | |
| 9 | 5 | |
| 10 | 20 | |
| 11 | 7 | |
| 12 | 14 | |
| 13 | 23 | |
| 14 | 3 | |
| 15 | 20 | |
| 16 | 22 | |
| 17 | 12 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | Combining Multiple Learning Strategies for Effective Cross Validation | 29 |
About Yiming Yang
Yiming Yang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 22 papers that have together received 257 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (12 papers), Robotics and Sensor-Based Localization (7 papers) and Robot Manipulation and Learning (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (116 citations), Control and Systems Engineering (124 citations) and Industrial and Manufacturing Engineering (27 citations). Yiming Yang has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Sethu Vijayakumar, Vladimir Ivan, Wolfgang Merkt, Thomas W. Pierce, Zhibin Li, Kun Wang, Ruixue Li, Maurice Fallon, Haigen Min and Xiangmo Zhao. Their work appears in journals such as IEEE Access, Remote Sensing and International Journal of Production Research.
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.