Chengyu Song

About

Chengyu Song is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Chengyu Song has authored 29 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 16 papers in Signal Processing and 8 papers in Information Systems. Recurrent topics in Chengyu Song’s work include Advanced Malware Detection Techniques (16 papers), Security and Verification in Computing (12 papers) and Adversarial Robustness in Machine Learning (5 papers). Chengyu Song is often cited by papers focused on Advanced Malware Detection Techniques (16 papers), Security and Verification in Computing (12 papers) and Adversarial Robustness in Machine Learning (5 papers). Chengyu Song collaborates with scholars based in United States, China and South Korea. Chengyu Song's co-authors include Wenke Lee, Taesoo Kim, Yeongjin Jang, Byoungyoung Lee, Esmaeil Mohammadian Koruyeh, Heng Yin, Khaled N. Khasawneh, Nael Abu‐Ghazaleh, Kangjie Lu and Tielei Wang and has published in prestigious journals such as ACM Computing Surveys, Frontiers in Human Neuroscience and Information Processing & Management.

In The Last Decade

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

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Fields of papers citing papers by Chengyu Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chengyu Song

Since Specialization

Citations

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