Earo Wang

4 papers and 120 indexed citations i.

About

Earo Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Earo Wang has authored 4 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Earo Wang’s work include Data Visualization and Analytics (2 papers), Data Analysis with R (2 papers) and Time Series Analysis and Forecasting (2 papers). Earo Wang is often cited by papers focused on Data Visualization and Analytics (2 papers), Data Analysis with R (2 papers) and Time Series Analysis and Forecasting (2 papers). Earo Wang collaborates with scholars based in New Zealand, Australia and Uruguay. Earo Wang's co-authors include Rob J. Hyndman, Alan J. Lee, Dianne Cook, Stuart Lee and Ursula Laa and has published in prestigious journals such as Computational Statistics & Data Analysis, Journal of Computational and Graphical Statistics and Wiley Interdisciplinary Reviews Computational Statistics.

In The Last Decade

Co-authorship network of co-authors of Earo Wang i

Fields of papers citing papers by Earo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Earo Wang

Since Specialization
Citations

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