Hao-Yun Kao

About

Hao-Yun Kao is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Hao-Yun Kao has authored 32 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Developmental and Educational Psychology, 5 papers in Artificial Intelligence and 4 papers in Epidemiology. Recurrent topics in Hao-Yun Kao’s work include Innovative Teaching and Learning Methods (4 papers), Primary Care and Health Outcomes (3 papers) and Mobile Learning in Education (3 papers). Hao-Yun Kao is often cited by papers focused on Innovative Teaching and Learning Methods (4 papers), Primary Care and Health Outcomes (3 papers) and Mobile Learning in Education (3 papers). Hao-Yun Kao collaborates with scholars based in Taiwan, United States and Saudi Arabia. Hao-Yun Kao's co-authors include Wen‐Hsiung Wu, Yenchun Jim Wu, Che-Hung Lin, Chun‐Yu Chen, Chun‐Wang Wei, Wen‐Bin Chiou, Jen‐Her Wu, Hon‐Yi Shi, Herng‐Chia Chiu and Min-Chun Yu and has published in prestigious journals such as PLoS ONE, Computers in Human Behavior and Computers & Education.

In The Last Decade

Co-authorship network of co-authors of Hao-Yun Kao i

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Fields of papers citing papers by Hao-Yun Kao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hao-Yun Kao. 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 Hao-Yun Kao. The network helps show where Hao-Yun Kao may publish in the future.

Countries citing papers authored by Hao-Yun Kao

Since Specialization

Citations

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