Cheng‐Chin Chiang

20 papers and 161 indexed citations i.

About

Cheng‐Chin Chiang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Cheng‐Chin Chiang has authored 20 papers receiving a total of 161 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Cheng‐Chin Chiang’s work include Neural Networks and Applications (6 papers), Face recognition and analysis (5 papers) and Face and Expression Recognition (4 papers). Cheng‐Chin Chiang is often cited by papers focused on Neural Networks and Applications (6 papers), Face recognition and analysis (5 papers) and Face and Expression Recognition (4 papers). Cheng‐Chin Chiang collaborates with scholars based in Taiwan. Cheng‐Chin Chiang's co-authors include Mau‐Tsuen Yang, Wen‐Kai Tai, Hsin-Chia Fu, Yi-Ting Huang, Hsiao-Tien Pao, Yunching Chen, Ren-Hong Wang, Sheng‐Kai Wang, Ching‐Nung Yang and Guangyi Wang and has published in prestigious journals such as Small, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Cheng‐Chin Chiang i

Fields of papers citing papers by Cheng‐Chin Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng‐Chin Chiang. 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 Cheng‐Chin Chiang. The network helps show where Cheng‐Chin Chiang may publish in the future.

Countries citing papers authored by Cheng‐Chin Chiang

Since Specialization
Citations

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