Qin Yang

49 total papers · 723 total citations
34 papers, 483 citations indexed

About

Qin Yang is a scholar working on Artificial Intelligence, Management of Technology and Innovation and Social Psychology. According to data from OpenAlex, Qin Yang has authored 34 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Management of Technology and Innovation and 4 papers in Social Psychology. Recurrent topics in Qin Yang's work include Product Development and Customization (7 papers), Quality Function Deployment in Product Design (6 papers) and Color perception and design (4 papers). Qin Yang is often cited by papers focused on Product Development and Customization (7 papers), Quality Function Deployment in Product Design (6 papers) and Color perception and design (4 papers). Qin Yang collaborates with scholars based in China, Japan and Germany. Qin Yang's co-authors include Xuemei Yao, Huiliang Zhao, Zhenghong Liu, Yaoyao He, Chao Wang, Xu Wang, Masaaki Kondo, Huaqing Wang, Gang Tang and Jianwei Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Sensors.

In The Last Decade

Qin Yang

28 papers receiving 441 citations

Hit Papers

A machine learning-based ... 2021 2026 2022 2024 2021 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Qin Yang 204 153 74 71 40 34 483
Saima Hassan 177 0.9× 150 1.0× 68 0.9× 50 0.7× 54 1.4× 46 444
Patrick Mannion 191 0.9× 82 0.5× 69 0.9× 84 1.2× 32 0.8× 34 497
Xiao Lu 235 1.2× 75 0.5× 58 0.8× 62 0.9× 16 0.4× 30 481
Devinder Kaur 211 1.0× 65 0.4× 47 0.6× 44 0.6× 72 1.8× 48 500
Youru Li 178 0.9× 123 0.8× 91 1.2× 45 0.6× 43 1.1× 24 523
Christiane Lemke 260 1.3× 82 0.5× 129 1.7× 25 0.4× 53 1.3× 30 505
Dušan Fister 213 1.0× 105 0.7× 53 0.7× 96 1.4× 51 1.3× 40 540
Lillian J. Ratliff 119 0.6× 108 0.7× 96 1.3× 122 1.7× 77 1.9× 58 539
Markus Peters 106 0.5× 120 0.8× 53 0.7× 49 0.7× 35 0.9× 28 497
Michela Fazzolari 347 1.7× 69 0.5× 39 0.5× 55 0.8× 20 0.5× 19 529

Countries citing papers authored by Qin Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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