Feng-Hsing Wang

9 papers and 310 indexed citations i.

About

Feng-Hsing Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Feng-Hsing Wang has authored 9 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 1 paper in Artificial Intelligence. Recurrent topics in Feng-Hsing Wang’s work include Advanced Steganography and Watermarking Techniques (9 papers), Advanced Data Compression Techniques (5 papers) and Video Coding and Compression Technologies (4 papers). Feng-Hsing Wang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (9 papers), Advanced Data Compression Techniques (5 papers) and Video Coding and Compression Technologies (4 papers). Feng-Hsing Wang collaborates with scholars based in Taiwan, Australia and United States. Feng-Hsing Wang's co-authors include Jeng‐Shyang Pan, Chin‐Shiuh Shieh, Hsiang-Cheh Huang, Hsiang-Cheh Huang, Lakhmi C. Jain, Hsiang-Cheh Huang and Kang K. Yen and has published in prestigious journals such as Information Sciences, Pattern Recognition and Electronics Letters.

In The Last Decade

Co-authorship network of co-authors of Feng-Hsing Wang i

Fields of papers citing papers by Feng-Hsing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng-Hsing Wang. 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 Feng-Hsing Wang. The network helps show where Feng-Hsing Wang may publish in the future.

Countries citing papers authored by Feng-Hsing Wang

Since Specialization
Citations

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