Ying Luo

35 papers and 555 indexed citations i.

About

Ying Luo is a scholar working on Education, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ying Luo has authored 35 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Education, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Ying Luo’s work include Topic Modeling (4 papers), Video Analysis and Summarization (4 papers) and Natural Language Processing Techniques (4 papers). Ying Luo is often cited by papers focused on Topic Modeling (4 papers), Video Analysis and Summarization (4 papers) and Natural Language Processing Techniques (4 papers). Ying Luo collaborates with scholars based in China, United States and United Kingdom. Ying Luo's co-authors include Jenq‐Neng Hwang, Hai Zhao, Hai Zhao, Lili Cui, Lei Bao, Jing Han, Jing Wang, Kai Fang, Lin Ding and Lie-Ming Li and has published in prestigious journals such as Science, BioMed Research International and American Journal of Physics.

In The Last Decade

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

Fields of papers citing papers by Ying Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Luo

Since Specialization
Citations

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