Sijia Yu

10 papers and 1.5k indexed citations i.

About

Sijia Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Sijia Yu has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Sijia Yu’s work include Video Surveillance and Tracking Methods (3 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Sijia Yu is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Sijia Yu collaborates with scholars based in United States, China and Canada. Sijia Yu's co-authors include Haibin Ling, Xue Mei, Fan Yang, Lei Zhang, Danil Prokhorov, Chunyuan Liao, Hexin Bai, Heng Fan, Fan Yang and Peng Chu and has published in prestigious journals such as International Journal of Computer Vision, IEEE Transactions on Intelligent Transportation Systems and IEEE Internet of Things Journal.

In The Last Decade

Co-authorship network of co-authors of Sijia Yu i

Fields of papers citing papers by Sijia Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sijia Yu

Since Specialization
Citations

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