Xianhua Song

38 papers and 690 indexed citations i.

About

Xianhua Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Xianhua Song has authored 38 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 9 papers in Computational Theory and Mathematics. Recurrent topics in Xianhua Song’s work include Quantum Computing Algorithms and Architecture (16 papers), Chaos-based Image/Signal Encryption (14 papers) and Quantum Information and Cryptography (12 papers). Xianhua Song is often cited by papers focused on Quantum Computing Algorithms and Architecture (16 papers), Chaos-based Image/Signal Encryption (14 papers) and Quantum Information and Cryptography (12 papers). Xianhua Song collaborates with scholars based in China, Egypt and Saudi Arabia. Xianhua Song's co-authors include Xiamu Niu, Ahmed A. Abd El‐Latif, Shen Wang, Shuai Liu, Jianzhi Sang, Shen Wang, Salvador E. Venegas-Andraca, Yuliang Lu, Xuehu Yan and Lintao Liu and has published in prestigious journals such as IEEE Access, Neurocomputing and Physica A Statistical Mechanics and its Applications.

In The Last Decade

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

Fields of papers citing papers by Xianhua Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xianhua Song

Since Specialization
Citations

This map shows the geographic impact of Xianhua 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 Xianhua Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianhua 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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2025