Shaohua Liu

48 papers and 457 indexed citations i.

About

Shaohua Liu is a scholar working on Artificial Intelligence, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shaohua Liu has authored 48 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Automotive Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shaohua Liu’s work include Autonomous Vehicle Technology and Safety (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Vehicle emissions and performance (4 papers). Shaohua Liu is often cited by papers focused on Autonomous Vehicle Technology and Safety (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Vehicle emissions and performance (4 papers). Shaohua Liu collaborates with scholars based in China, United Kingdom and United States. Shaohua Liu's co-authors include Tianlu Mao, Yuan Yao, Tongwen Sun, Xiao Dong Chen, Xing Wang, Xiaoguang Duan, Haibo Liu, Mingliang Li, Xianfei Ding and Jing Fang and has published in prestigious journals such as Construction and Building Materials, Fuel and Frontiers in Immunology.

In The Last Decade

Co-authorship network of co-authors of Shaohua Liu i

Fields of papers citing papers by Shaohua Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shaohua Liu

Since Specialization
Citations

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