Saiji Fu

27 papers and 253 indexed citations i.

About

Saiji Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Saiji Fu has authored 27 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Saiji Fu’s work include Face and Expression Recognition (11 papers), Imbalanced Data Classification Techniques (8 papers) and Machine Learning and ELM (7 papers). Saiji Fu is often cited by papers focused on Face and Expression Recognition (11 papers), Imbalanced Data Classification Techniques (8 papers) and Machine Learning and ELM (7 papers). Saiji Fu collaborates with scholars based in China and United Kingdom. Saiji Fu's co-authors include Yingjie Tian, Jingjing Tang, Xiaotong Yu, Long Tang, Xiaohui Liu, Kun Zhao, Xiaoxiao Wang, Gang Kou, Minghao Liu and Hao He and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Saiji Fu i

Fields of papers citing papers by Saiji Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saiji Fu

Since Specialization
Citations

This map shows the geographic impact of Saiji Fu'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 Saiji Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saiji Fu 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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2026