Chin-Wei Huang

About

Chin-Wei Huang is a scholar working on Artificial Intelligence, Control and Systems Engineering and Management Science and Operations Research. According to data from OpenAlex, Chin-Wei Huang has authored 2 papers receiving a total of 4 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Control and Systems Engineering and 1 paper in Management Science and Operations Research. Recurrent topics in Chin-Wei Huang’s work include Time Series Analysis and Forecasting (1 paper), Advanced Control Systems Optimization (1 paper) and Algorithms and Data Compression (1 paper). Chin-Wei Huang is often cited by papers focused on Time Series Analysis and Forecasting (1 paper), Advanced Control Systems Optimization (1 paper) and Algorithms and Data Compression (1 paper). Chin-Wei Huang collaborates with scholars based in Canada, United States and India. Chin-Wei Huang's co-authors include Kundan Kumar, Aaron Courville, Alexandre Lacoste, Faruk Ahmed and Laurent Dinh and has published in prestigious journals such as International Conference on Learning Representations and Uncertainty in Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Chin-Wei Huang i

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Fields of papers citing papers by Chin-Wei Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chin-Wei Huang

Since Specialization

Citations

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