Shuyi Ji

7 papers and 166 indexed citations i.

About

Shuyi Ji is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Shuyi Ji has authored 7 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Shuyi Ji’s work include Advanced Graph Neural Networks (3 papers), Complex Network Analysis Techniques (2 papers) and Graph Theory and Algorithms (2 papers). Shuyi Ji is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Complex Network Analysis Techniques (2 papers) and Graph Theory and Algorithms (2 papers). Shuyi Ji collaborates with scholars based in China and Canada. Shuyi Ji's co-authors include Yue Gao, Yifan Feng, Rongrong Ji, Xibin Zhao, Shihui Ying, Zizhao Zhang, Liejun Wang, Qionghai Dai, Changqing Zou and Shaoyi Du and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Shuyi Ji i

Fields of papers citing papers by Shuyi Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shuyi Ji

Since Specialization
Citations

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