Min Dong

20 papers and 182 indexed citations i.

About

Min Dong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Min Dong has authored 20 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Min Dong’s work include Medical Image Segmentation Techniques (4 papers), Context-Aware Activity Recognition Systems (4 papers) and Advanced Image Fusion Techniques (3 papers). Min Dong is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Context-Aware Activity Recognition Systems (4 papers) and Advanced Image Fusion Techniques (3 papers). Min Dong collaborates with scholars based in China and United States. Min Dong's co-authors include Yide Ma, Sheng Bi, Jiuwen Zhang, Jingyun Xu, Jiangcheng Chen, Bin Wu, Yi Cai, Li Wang, Xiao Zeng and Jinhui Zhu and has published in prestigious journals such as BMC Bioinformatics, Sensors and IEEE Access.

In The Last Decade

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

Fields of papers citing papers by Min Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Dong

Since Specialization
Citations

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