Y. Qin

10.1k total citations
4 papers, 6 citations indexed

About

Y. Qin is a scholar working on Molecular Biology, Experimental and Cognitive Psychology and Transportation. According to data from OpenAlex, Y. Qin has authored 4 papers receiving a total of 6 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Experimental and Cognitive Psychology and 1 paper in Transportation. Recurrent topics in Y. Qin's work include Visual and Cognitive Learning Processes (1 paper), Reading and Literacy Development (1 paper) and Transportation Planning and Optimization (1 paper). Y. Qin is often cited by papers focused on Visual and Cognitive Learning Processes (1 paper), Reading and Literacy Development (1 paper) and Transportation Planning and Optimization (1 paper). Y. Qin collaborates with scholars based in China, United Kingdom and Macao. Y. Qin's co-authors include Tao Xu, Jie Bai, Hui Zhang, Yun Zhou, Jianchao Lee, Yulong Bai, Deborah A. Smith, Yonggang Wang, Peter Howarth and Fan Song and has published in prestigious journals such as The Analyst, Swarm and Evolutionary Computation and Education and Information Technologies.

In The Last Decade

Y. Qin

3 papers receiving 6 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Y. Qin China 2 2 1 1 1 1 4 6
Maarten van Smeden Netherlands 2 2 1.0× 3 5
Zhenfei Yin China 2 2 1.0× 9 7
W. Zha China 1 2 1.0× 5 3
A. Gupta Italy 1 2 1.0× 2 2
S. Stefkova Germany 1 2 1.0× 1 1.0× 2 5
Jason H. Moore United States 2 2 1.0× 2 2
Peter-Paul M. Willemse Netherlands 1 2 1.0× 2 2
M. He China 2 2 1.0× 5 4

Countries citing papers authored by Y. Qin

Since Specialization
Citations

This map shows the geographic impact of Y. Qin'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 Y. Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Qin more than expected).

Fields of papers citing papers by Y. Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. Qin. 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 Y. Qin. The network helps show where Y. Qin may publish in the future.

Co-authorship network of co-authors of Y. Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Qin. A scholar is included among the top collaborators of Y. Qin 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 Y. Qin. Y. Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Qin, Y., et al.. (2025). Train energy-efficient speed profile generation under various track alignments: a quantum evolutionary algorithm with cosine annealing. Swarm and Evolutionary Computation. 97. 102027–102027. 1 indexed citations
2.
Qin, Y., Qiannan Duan, H. Wang, et al.. (2025). Advances and innovations in machine learning-based spectral detection methods for trace organic pollutants. The Analyst. 151(2). 356–388.
3.
Bai, Jie, et al.. (2025). Can AI-generated pedagogical agents (AIPA) replace human teacher in picture book videos? The effects of appearance and voice of AIPA on children’s learning. Education and Information Technologies. 30(9). 12267–12287. 4 indexed citations

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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