Guang Hua

52 papers and 1.1k indexed citations i.

About

Guang Hua is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Guang Hua has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 19 papers in Signal Processing and 10 papers in Artificial Intelligence. Recurrent topics in Guang Hua’s work include Digital Media Forensic Detection (20 papers), Advanced Steganography and Watermarking Techniques (19 papers) and Music and Audio Processing (10 papers). Guang Hua is often cited by papers focused on Digital Media Forensic Detection (20 papers), Advanced Steganography and Watermarking Techniques (19 papers) and Music and Audio Processing (10 papers). Guang Hua collaborates with scholars based in China, Singapore and Australia. Guang Hua's co-authors include Yong Xiang, Haijian Zhang, Iynkaran Natgunanathan, Vrizlynn L. L. Thing, Jonathan Goh, S.S. Abeysekera, Wen Yang, Dezhong Peng, Wei Guo and Abid Mehmood and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Guang Hua i

Fields of papers citing papers by Guang Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guang Hua

Since Specialization
Citations

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