Pao Siangliulue

5 papers and 89 indexed citations i.

About

Pao Siangliulue is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Developmental and Educational Psychology. According to data from OpenAlex, Pao Siangliulue has authored 5 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Science Applications, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Developmental and Educational Psychology. Recurrent topics in Pao Siangliulue’s work include Open Source Software Innovations (3 papers), Data Visualization and Analytics (2 papers) and Innovative Teaching and Learning Methods (2 papers). Pao Siangliulue is often cited by papers focused on Open Source Software Innovations (3 papers), Data Visualization and Analytics (2 papers) and Innovative Teaching and Learning Methods (2 papers). Pao Siangliulue collaborates with scholars based in United States. Pao Siangliulue's co-authors include Joel Chan, Krzysztof Z. Gajos, Steven P. Dow, Adam Marcus, Sajjadur Rahman, Raymond Fok, Aakanksha Naik, Juho Kim, Daniel S. Weld and Joseph Chee Chang and has published in prestigious journals such as Proceedings of the ACM on Human-Computer Interaction, Digital Access to Scholarship at Harvard (DASH) (Harvard University) and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Pao Siangliulue i

Fields of papers citing papers by Pao Siangliulue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pao Siangliulue

Since Specialization
Citations

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