Guangda Su

33 papers and 209 indexed citations i.

About

Guangda Su is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Guangda Su has authored 33 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 4 papers in Media Technology. Recurrent topics in Guangda Su’s work include Face and Expression Recognition (18 papers), Face recognition and analysis (16 papers) and Biometric Identification and Security (8 papers). Guangda Su is often cited by papers focused on Face and Expression Recognition (18 papers), Face recognition and analysis (16 papers) and Biometric Identification and Security (8 papers). Guangda Su collaborates with scholars based in China, United States and Hong Kong. Guangda Su's co-authors include Jiansheng Chen, Junyan Wang, Yafeng Deng, Rong Ding, Jun Zhou, Congcong Li, Chunhong Jiang, Cuiping Zhang, Xiang Yan and Jiongxin Liu and has published in prestigious journals such as Pattern Recognition, Neurocomputing and Electronics Letters.

In The Last Decade

Co-authorship network of co-authors of Guangda Su i

Fields of papers citing papers by Guangda Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guangda Su. 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 Guangda Su. The network helps show where Guangda Su may publish in the future.

Countries citing papers authored by Guangda Su

Since Specialization
Citations

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