Ying Shan

179 papers and 3.0k indexed citations i.

About

Ying Shan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Ying Shan has authored 179 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Computer Vision and Pattern Recognition, 36 papers in Artificial Intelligence and 24 papers in Computational Mechanics. Recurrent topics in Ying Shan’s work include Advanced Vision and Imaging (34 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Multimodal Machine Learning Applications (26 papers). Ying Shan is often cited by papers focused on Advanced Vision and Imaging (34 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Multimodal Machine Learning Applications (26 papers). Ying Shan collaborates with scholars based in China, Hong Kong and United States. Ying Shan's co-authors include Xintao Wang, Liangbin Xie, Chao Dong, Yu Li, Xiaohu Qie, Zhongang Qi, Yixiao Ge, Charles E. Bakis, Xinggang Wang and Wenyu Liu and has published in prestigious journals such as Analytical Chemistry, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Co-authorship network of co-authors of Ying Shan i

Fields of papers citing papers by Ying Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Shan

Since Specialization
Citations

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