Kuo-Chung Huang

About

Kuo-Chung Huang is a scholar working on Statistics and Probability, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Kuo-Chung Huang has authored 25 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 3 papers in Artificial Intelligence and 3 papers in Epidemiology. Recurrent topics in Kuo-Chung Huang’s work include Survey Sampling and Estimation Techniques (12 papers), Machine Learning and Algorithms (3 papers) and Digital Marketing and Social Media (2 papers). Kuo-Chung Huang is often cited by papers focused on Survey Sampling and Estimation Techniques (12 papers), Machine Learning and Algorithms (3 papers) and Digital Marketing and Social Media (2 papers). Kuo-Chung Huang collaborates with scholars based in Taiwan, United States and Latvia. Kuo-Chung Huang's co-authors include Hsin‐Kuang Chi, Horng‐Jinh Chang, Kuo‐Chin Huang, Chih‐Li Wang, Pang‐Hsin Hsieh, Yao-Hung Tsai, Tsan-Wen Huang, Mel S. Lee, Jianlin Zhao and Gang Xiong and has published in prestigious journals such as Chemosphere, Clinical Orthopaedics and Related Research and Sustainability.

In The Last Decade

Co-authorship network of co-authors of Kuo-Chung Huang i

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Fields of papers citing papers by Kuo-Chung Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo-Chung Huang. 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 Kuo-Chung Huang. The network helps show where Kuo-Chung Huang may publish in the future.

Countries citing papers authored by Kuo-Chung Huang

Since Specialization

Citations

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