Guobiao Yang
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering
- Mechanics of Materials
- Electrical and Electronic Engineering
- Civil and Structural Engineering
- Co-authors
- Lianxiang YangJunrui LiThorsten SiebertXin XieBoyang ZhangXiaoyuan HeHongjian ShiYonghong Wang
- Topics
- Optical measurement and interference techniques (11 papers)Image Processing Techniques and Applications (5 papers)Advanced Surface Polishing Techniques (4 papers)
- Journals
- IEEE AccessSAE technical papers on CD-ROM/SAE technical paper seriesInternational Journal of Fatigue
- Partner nations
- ChinaUnited StatesTürkiye
In The Last Decade
Guobiao Yang
19 papers receiving 335 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 207
- Mechanical Engineering 151
- Mechanics of Materials 88
- Electrical and Electronic Engineering 76
- Civil and Structural Engineering 70
Countries citing papers authored by Guobiao Yang
This map shows the geographic impact of Guobiao 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 Guobiao Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guobiao Yang more than expected).
Fields of papers citing papers by Guobiao Yang
This network shows the impact of papers produced by Guobiao 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 Guobiao Yang. The network helps show where Guobiao Yang may publish in the future.
Co-authorship network of co-authors of Guobiao Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Guobiao Yang. A scholar is included among the top collaborators of Guobiao 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 Guobiao Yang. Guobiao 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 | 5 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 76 | |
| 8 | 18 | |
| 9 | 5 | |
| 10 | 10 | |
| 11 | 90 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 9 | |
| 15 | 11 | |
| 16 | Research on Spatial Shape and Orientation Detection of a Flexible Shape Memory Alloy Rod | 0 |
| 17 | 42 | |
| 18 | Resent Development of some Issues in Dynamic Photoelastic Method | 0 |
| 19 | 7 | |
| 20 | [The biomechanical study of craniovertebral junction fixation with posterior transarticular screw]. | 1 |
About Guobiao Yang
Guobiao Yang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 22 papers that have together received 349 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (11 papers), Image Processing Techniques and Applications (5 papers) and Advanced Surface Polishing Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (207 citations), Media Technology (67 citations) and Mechanical Engineering (151 citations). Guobiao Yang has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Lianxiang Yang, Junrui Li, Thorsten Siebert, Xin Xie, Boyang Zhang, Xiaoyuan He, Hongjian Shi, Yonghong Wang, Dajun Zhou and Tian Bai. Their work appears in journals such as IEEE Access, SAE technical papers on CD-ROM/SAE technical paper series and International Journal of Fatigue.
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.