Yuxiang Yang
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Media Technology top 2%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Jing ZhangMingyu GaoHaichen BaiRui ZhangMingjin ZhangJie GuoZhiwei HeZhekang Dong
- Topics
- Image and Object Detection Techniques (11 papers)Image Processing Techniques and Applications (11 papers)Industrial Vision Systems and Defect Detection (10 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yuxiang Yang
53 papers receiving 860 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Aerospace Engineering 351
- Computer Vision and Pattern Recognition 342
- Electrical and Electronic Engineering 238
- Media Technology 155
- Industrial and Manufacturing Engineering 98
Countries citing papers authored by Yuxiang Yang
This map shows the geographic impact of Yuxiang 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 Yuxiang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuxiang Yang more than expected).
Fields of papers citing papers by Yuxiang Yang
This network shows the impact of papers produced by Yuxiang 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 Yuxiang Yang. The network helps show where Yuxiang Yang may publish in the future.
Co-authorship network of co-authors of Yuxiang Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuxiang Yang. A scholar is included among the top collaborators of Yuxiang 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 Yuxiang Yang. Yuxiang 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 | 0 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 18 | |
| 11 | 38 | |
| 12 | 5 | |
| 13 | 75 | |
| 14 | Fine-grained ECG Classification Based on Deep CNN and Online Decision Fusion | 4 |
| 15 | 2 | |
| 16 | 0 | |
| 17 | 7 | |
| 18 | 12 | |
| 19 | 3 | |
| 20 | 11 |
About Yuxiang Yang
Yuxiang Yang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 57 papers that have together received 884 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (11 papers), Image Processing Techniques and Applications (11 papers) and Industrial Vision Systems and Defect Detection (10 papers). The work is most often cited by research in Media Technology (155 citations), Computer Vision and Pattern Recognition (342 citations) and Aerospace Engineering (351 citations). Yuxiang Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jing Zhang, Mingyu Gao, Haichen Bai, Rui Zhang, Mingjin Zhang, Jie Guo, Zhiwei He, Mingyu Gao, Zhekang Dong and Guoqing Jin. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Sensors and International Journal of Computer Vision.
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.