Chin‐Ming Hong

About

Chin‐Ming Hong is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chin‐Ming Hong has authored 20 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chin‐Ming Hong’s work include Open Education and E-Learning (3 papers), Web Data Mining and Analysis (3 papers) and ECG Monitoring and Analysis (2 papers). Chin‐Ming Hong is often cited by papers focused on Open Education and E-Learning (3 papers), Web Data Mining and Analysis (3 papers) and ECG Monitoring and Analysis (2 papers). Chin‐Ming Hong collaborates with scholars based in Taiwan and Ghana. Chin‐Ming Hong's co-authors include Chih‐Ming Chen, Yi-Shiang Wang, Shing‐Chia Chen, Wen-Chung Kao, Yiming Lin, Chin‐Teng Lin, Wei‐Hsin Chen, Yih‐Guang Leu, Ting‐Yu Chang and Chaoyu Liu and has published in prestigious journals such as Expert Systems with Applications, Computers & Education and IEEE Transactions on Energy Conversion.

In The Last Decade

Co-authorship network of co-authors of Chin‐Ming Hong i

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Fields of papers citing papers by Chin‐Ming Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Ming Hong. 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 Chin‐Ming Hong. The network helps show where Chin‐Ming Hong may publish in the future.

Countries citing papers authored by Chin‐Ming Hong

Since Specialization

Citations

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