Ying Liu

344 papers and 4.9k indexed citations i.

About

Ying Liu is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Ying Liu has authored 344 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Artificial Intelligence, 50 papers in Industrial and Manufacturing Engineering and 44 papers in Mechanical Engineering. Recurrent topics in Ying Liu’s work include Manufacturing Process and Optimization (27 papers), Color perception and design (20 papers) and Topic Modeling (20 papers). Ying Liu is often cited by papers focused on Manufacturing Process and Optimization (27 papers), Color perception and design (20 papers) and Topic Modeling (20 papers). Ying Liu collaborates with scholars based in China, United Kingdom and United States. Ying Liu's co-authors include Jian Jin, Aixin Sun, Ping Ji, Han Tong Loh, Charles A. Perfetti, Sin C. Ho, W.Y. Szeto, Ee‐Peng Lim, Jian Qin and Soon Chong Johnson Lim and has published in prestigious journals such as Nucleic Acids Research, Journal of Neuroscience and Brain Research.

In The Last Decade

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

Fields of papers citing papers by Ying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Liu

Since Specialization
Citations

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