Ming–Jung Seow

14 papers and 148 indexed citations i.

About

Ming–Jung Seow is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Ming–Jung Seow has authored 14 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 4 papers in Cognitive Neuroscience. Recurrent topics in Ming–Jung Seow’s work include Neural Networks and Applications (7 papers), Image Enhancement Techniques (6 papers) and Image and Signal Denoising Methods (4 papers). Ming–Jung Seow is often cited by papers focused on Neural Networks and Applications (7 papers), Image Enhancement Techniques (6 papers) and Image and Signal Denoising Methods (4 papers). Ming–Jung Seow collaborates with scholars based in United States and Germany. Ming–Jung Seow's co-authors include Vijayan K. Asari, Tao Li, Tao Li and Hau Ngo and has published in prestigious journals such as Neurocomputing, Neural Networks and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Ming–Jung Seow i

Fields of papers citing papers by Ming–Jung Seow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming–Jung Seow. 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 Ming–Jung Seow. The network helps show where Ming–Jung Seow may publish in the future.

Countries citing papers authored by Ming–Jung Seow

Since Specialization
Citations

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