Shi Bai

10 papers and 48 indexed citations i.

About

Shi Bai is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shi Bai has authored 10 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shi Bai’s work include Cryptography and Data Security (5 papers), Coding theory and cryptography (3 papers) and Algorithms and Data Compression (3 papers). Shi Bai is often cited by papers focused on Cryptography and Data Security (5 papers), Coding theory and cryptography (3 papers) and Algorithms and Data Compression (3 papers). Shi Bai collaborates with scholars based in United States, China and France. Shi Bai's co-authors include Damien Stehlé, Ron Steinfeld, Tancrède Lepoint, Adeline Roux-Langlois, Amin Sakzad, Richard P. Brent, Chao Tong, Thijs Laarhoven, Emmanuel Thomé and Jinming Wen and has published in prestigious journals such as Mathematics of Computation, IEEE Communications Letters and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Co-authorship network of co-authors of Shi Bai i

Fields of papers citing papers by Shi Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shi Bai

Since Specialization
Citations

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