Min Wan

About

Min Wan is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Min Wan has authored 21 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Theory and Mathematics and 3 papers in Artificial Intelligence. Recurrent topics in Min Wan’s work include Formal Methods in Verification (3 papers), Image Retrieval and Classification Techniques (3 papers) and Computational Geometry and Mesh Generation (3 papers). Min Wan is often cited by papers focused on Formal Methods in Verification (3 papers), Image Retrieval and Classification Techniques (3 papers) and Computational Geometry and Mesh Generation (3 papers). Min Wan collaborates with scholars based in China, Singapore and United States. Min Wan's co-authors include Jianping Gou, Lan Du, Yongzhao Zhan, Jinfu Chen, Xiang‐Jun Shen, Zhao Zhang, Lihua Xiong, Kieran M. O’Connor, Yu Wang and Desheng Wang and has published in prestigious journals such as International Journal for Numerical Methods in Engineering, Journal of Hydraulic Engineering and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

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

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Fields of papers citing papers by Min Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Wan

Since Specialization

Citations

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