Sing‐Tze Bow

3 papers and 294 indexed citations i.

About

Sing‐Tze Bow is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Sing‐Tze Bow has authored 3 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Sing‐Tze Bow’s work include Neural Networks and Applications (1 paper), Image Processing and 3D Reconstruction (1 paper) and Handwritten Text Recognition Techniques (1 paper). Sing‐Tze Bow is often cited by papers focused on Neural Networks and Applications (1 paper), Image Processing and 3D Reconstruction (1 paper) and Handwritten Text Recognition Techniques (1 paper). Sing‐Tze Bow collaborates with scholars based in United States. Sing‐Tze Bow's co-authors include James Gattiker and Rangachar Kasturi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, M. Dekker eBooks and CRC Press eBooks.

In The Last Decade

Co-authorship network of co-authors of Sing‐Tze Bow i

Fields of papers citing papers by Sing‐Tze Bow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sing‐Tze Bow. 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 Sing‐Tze Bow. The network helps show where Sing‐Tze Bow may publish in the future.

Countries citing papers authored by Sing‐Tze Bow

Since Specialization
Citations

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