Song Bian

About

Song Bian is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Song Bian has authored 31 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Electrical and Electronic Engineering and 5 papers in Hardware and Architecture. Recurrent topics in Song Bian’s work include Cryptography and Data Security (13 papers), Privacy-Preserving Technologies in Data (6 papers) and Combinatorial Optimization and Complexity Theory (4 papers). Song Bian is often cited by papers focused on Cryptography and Data Security (13 papers), Privacy-Preserving Technologies in Data (6 papers) and Combinatorial Optimization and Complexity Theory (4 papers). Song Bian collaborates with scholars based in Japan, China and United States. Song Bian's co-authors include Takashi Satō, Masayuki Hiromoto, Weiqiang Liu, Tianchen Wang, Yiyu Shi, Máire O’Neill, Ayesha Khalid, Chenghua Wang, Jia‐Hai Ye and Wenchao Zhang and has published in prestigious journals such as Tetrahedron Letters, Japanese Journal of Applied Physics and IEEE Internet of Things Journal.

In The Last Decade

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

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Fields of papers citing papers by Song Bian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Bian

Since Specialization

Citations

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