Ye‐In Chang

42 papers and 177 indexed citations i.

About

Ye‐In Chang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ye‐In Chang has authored 42 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Artificial Intelligence. Recurrent topics in Ye‐In Chang’s work include Advanced Image and Video Retrieval Techniques (12 papers), Data Management and Algorithms (12 papers) and Algorithms and Data Compression (11 papers). Ye‐In Chang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (12 papers), Data Management and Algorithms (12 papers) and Algorithms and Data Compression (11 papers). Ye‐In Chang collaborates with scholars based in Taiwan. Ye‐In Chang's co-authors include Ming T. Liu, Mukesh Singhal, Chien-I Lee, Wei‐Pang Yang, Jui‐Hsiang Chen, Cheng‐Chi Lee, Chih‐Hao Lin, Chung-Ming Huang and Yao‐Jen Chang and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Ye‐In Chang i

Fields of papers citing papers by Ye‐In Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ye‐In Chang. 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 Ye‐In Chang. The network helps show where Ye‐In Chang may publish in the future.

Countries citing papers authored by Ye‐In Chang

Since Specialization
Citations

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