Andrew H. Sung

71 papers and 1.7k indexed citations i.

About

Andrew H. Sung is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Andrew H. Sung has authored 71 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 18 papers in Computer Networks and Communications. Recurrent topics in Andrew H. Sung’s work include Digital Media Forensic Detection (18 papers), Advanced Steganography and Watermarking Techniques (16 papers) and Network Security and Intrusion Detection (13 papers). Andrew H. Sung is often cited by papers focused on Digital Media Forensic Detection (18 papers), Advanced Steganography and Watermarking Techniques (16 papers) and Network Security and Intrusion Detection (13 papers). Andrew H. Sung collaborates with scholars based in United States, Portugal and China. Andrew H. Sung's co-authors include Qingzhong Liu, Mengyu Qiao, Srinivas Mukkamala, Ajith Abraham, Zhongxue Chen, Md. Shohel Rana, Jianyun Xu, Youping Deng, Xudong Huang and Beddhu Murali and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Andrew H. Sung i

Fields of papers citing papers by Andrew H. Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew H. Sung. 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 Andrew H. Sung. The network helps show where Andrew H. Sung may publish in the future.

Countries citing papers authored by Andrew H. Sung

Since Specialization
Citations

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