Qin Wan

26 papers and 281 indexed citations i.

About

Qin Wan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Qin Wan has authored 26 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Qin Wan’s work include Video Surveillance and Tracking Methods (6 papers), Machine Learning and ELM (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Qin Wan is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Machine Learning and ELM (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Qin Wan collaborates with scholars based in China and Australia. Qin Wan's co-authors include Ke Yu, Feng Xu, Qingli Li, Bo Liu, Bin Zhang, Xuewei Li, Tianyong Huang, Ru Wang, Zhaojia Wang and Zibin Yin and has published in prestigious journals such as Applied Physics Letters, Construction and Building Materials and Optics Express.

In The Last Decade

Co-authorship network of co-authors of Qin Wan i

Fields of papers citing papers by Qin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qin Wan

Since Specialization
Citations

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

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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2025