Yaya Xie

About

Yaya Xie is a scholar working on Information Systems, Marketing and Molecular Biology. According to data from OpenAlex, Yaya Xie has authored 3 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems, 2 papers in Marketing and 1 paper in Molecular Biology. Recurrent topics in Yaya Xie’s work include Data Mining Algorithms and Applications (2 papers), Customer churn and segmentation (2 papers) and Imbalanced Data Classification Techniques (1 paper). Yaya Xie is often cited by papers focused on Data Mining Algorithms and Applications (2 papers), Customer churn and segmentation (2 papers) and Imbalanced Data Classification Techniques (1 paper). Yaya Xie collaborates with scholars based in China and Hong Kong. Yaya Xie's co-authors include Eric W.T. Ngai, Xiu Li, Xiu Li and Hao Liu and has published in prestigious journals such as Expert Systems with Applications, 3 Biotech and International Conference on Machine Learning and Cybernetics.

In The Last Decade

Co-authorship network of co-authors of Yaya Xie i

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Fields of papers citing papers by Yaya Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yaya Xie

Since Specialization

Citations

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