Ja‐Chen Lin

15 papers and 1.1k indexed citations i.

About

Ja‐Chen Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Ja‐Chen Lin has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Ja‐Chen Lin’s work include Advanced Data Compression Techniques (5 papers), Face and Expression Recognition (5 papers) and Advanced Steganography and Watermarking Techniques (4 papers). Ja‐Chen Lin is often cited by papers focused on Advanced Data Compression Techniques (5 papers), Face and Expression Recognition (5 papers) and Advanced Steganography and Watermarking Techniques (4 papers). Ja‐Chen Lin collaborates with scholars based in Taiwan. Ja‐Chen Lin's co-authors include Li‐Fen Chen, Hong-Yuan Mark Liao, Gwo‐Jong Yu, Ming‐Tat Ko, Wen‐Hsiang Tsai, Chin‐Chuan Han, Chun-Shien Lu, H.-Y.M. Liao, Trees‐Juen Chuang and Chia‐Hua Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Communications and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Ja‐Chen Lin i

Fields of papers citing papers by Ja‐Chen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ja‐Chen Lin. 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 Ja‐Chen Lin. The network helps show where Ja‐Chen Lin may publish in the future.

Countries citing papers authored by Ja‐Chen Lin

Since Specialization
Citations

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