Sijia Wang

25 papers and 148 indexed citations i.

About

Sijia Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Sijia Wang has authored 25 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Sijia Wang’s work include Topic Modeling (3 papers), Video Surveillance and Tracking Methods (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). Sijia Wang is often cited by papers focused on Topic Modeling (3 papers), Video Surveillance and Tracking Methods (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). Sijia Wang collaborates with scholars based in China, United States and Germany. Sijia Wang's co-authors include Cisheng Wu, Cynthia Rudin, Yaron Shaposhnik, Chaofan Chen, Tong Wang, Yongqian Chen, Diange Yang, He Liu, Mangui Liang and Lifu Huang and has published in prestigious journals such as Cell, Journal of Affective Disorders and Decision Support Systems.

In The Last Decade

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

Fields of papers citing papers by Sijia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sijia Wang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025