Da-Chun Wu

13 papers and 672 indexed citations i.

About

Da-Chun Wu is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Da-Chun Wu has authored 13 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 3 papers in Information Systems and 2 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Da-Chun Wu’s work include Advanced Steganography and Watermarking Techniques (10 papers), Chaos-based Image/Signal Encryption (9 papers) and Digital Media Forensic Detection (8 papers). Da-Chun Wu is often cited by papers focused on Advanced Steganography and Watermarking Techniques (10 papers), Chaos-based Image/Signal Encryption (9 papers) and Digital Media Forensic Detection (8 papers). Da-Chun Wu collaborates with scholars based in Taiwan, China and Chile. Da-Chun Wu's co-authors include Wen‐Hsiang Tsai, Shyi‐Chyi Cheng, Yi‐Hsin Liu, Fei Luo and Weichao Ding and has published in prestigious journals such as Scientific Reports, IEEE Access and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Da-Chun Wu i

Fields of papers citing papers by Da-Chun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da-Chun Wu. 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 Da-Chun Wu. The network helps show where Da-Chun Wu may publish in the future.

Countries citing papers authored by Da-Chun Wu

Since Specialization
Citations

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