Qin Yang
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Management Science and Operations Research top 10%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Huiliang ZhaoZhenghong LiuXuemei YaoYaoyao HeXu WangChao WangMasaaki KondoJianwei Ma
- Topics
- Product Development and Customization (7 papers)Quality Function Deployment in Product Design (6 papers)Color perception and design (4 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchManagement of Technology and Innovation
- Journals
- SHILAP Revista de lepidopterologíaApplied EnergySensors
In The Last Decade
Qin Yang
28 papers receiving 443 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 205
- Electrical and Electronic Engineering 153
- Management Science and Operations Research 74
- Control and Systems Engineering 72
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Qin Yang
This map shows the geographic impact of Qin 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 Qin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Yang more than expected).
Fields of papers citing papers by Qin Yang
This network shows the impact of papers produced by Qin 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 Qin Yang. The network helps show where Qin Yang may publish in the future.
Co-authorship network of co-authors of Qin Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Qin Yang. A scholar is included among the top collaborators of Qin 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 Qin Yang. Qin 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 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 26 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 130 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 53 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 1 |
About Qin Yang
Qin Yang is a scholar working on Management of Technology and Innovation, Computer Graphics and Computer-Aided Design and Human Factors and Ergonomics, having authored 34 papers that have together received 487 indexed citations. Recurring topics across this work include Product Development and Customization (7 papers), Quality Function Deployment in Product Design (6 papers) and Color perception and design (4 papers). The work is most often cited by research in Artificial Intelligence (205 citations), Management Science and Operations Research (74 citations) and Management of Technology and Innovation (22 citations). Qin Yang has collaborated with scholars based in China, Japan and Germany. Frequent co-authors include Huiliang Zhao, Zhenghong Liu, Xuemei Yao, Yaoyao He, Xu Wang, Chao Wang, Masaaki Kondo, Jianwei Ma, Huaqing Wang and Gang Tang. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and Sensors.
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.