Ya Zhou

23 papers and 132 indexed citations i.

About

Ya Zhou is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Ya Zhou has authored 23 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Computer Science Applications. Recurrent topics in Ya Zhou’s work include Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (4 papers) and Online Learning and Analytics (4 papers). Ya Zhou is often cited by papers focused on Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (4 papers) and Online Learning and Analytics (4 papers). Ya Zhou collaborates with scholars based in China, Australia and United Kingdom. Ya Zhou's co-authors include Jingwei Zhang, Jun Li, Zhi Xu, Hui Li, Guimin Huang, Hua Jiang, Jun Li, Lihua Yin, Yuming Lin and Tong Li and has published in prestigious journals such as Sensors, IEEE Access and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Ya Zhou i

Fields of papers citing papers by Ya Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ya Zhou

Since Specialization
Citations

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