Song Wang

78 papers and 1.8k indexed citations i.

About

Song Wang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Song Wang has authored 78 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Signal Processing, 35 papers in Computer Vision and Pattern Recognition and 30 papers in Information Systems. Recurrent topics in Song Wang’s work include Biometric Identification and Security (33 papers), User Authentication and Security Systems (25 papers) and Advanced Steganography and Watermarking Techniques (20 papers). Song Wang is often cited by papers focused on Biometric Identification and Security (33 papers), User Authentication and Security Systems (25 papers) and Advanced Steganography and Watermarking Techniques (20 papers). Song Wang collaborates with scholars based in Australia, China and United States. Song Wang's co-authors include Jiankun Hu, Wencheng Yang, Craig Valli, Guanglou Zheng, Guang Deng, Tohari Ahmad, Jucheng Yang, Min Zhou, Kathryn S. Campy and Shujuan Qu and has published in prestigious journals such as Journal of Applied Mechanics, IEEE Transactions on Signal Processing and IEEE Communications Magazine.

In The Last Decade

Co-authorship network of co-authors of Song Wang i

Fields of papers citing papers by Song Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Wang

Since Specialization
Citations

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