Haw-Shiuan Chang

20 papers and 409 indexed citations i.

About

Haw-Shiuan Chang is a scholar working on Artificial Intelligence, Information Systems and Materials Chemistry. According to data from OpenAlex, Haw-Shiuan Chang has authored 20 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Materials Chemistry. Recurrent topics in Haw-Shiuan Chang’s work include Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers) and Machine Learning and Algorithms (4 papers). Haw-Shiuan Chang is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers) and Machine Learning and Algorithms (4 papers). Haw-Shiuan Chang collaborates with scholars based in United States, Taiwan and Germany. Haw-Shiuan Chang's co-authors include Yu-Chiang Frank Wang, Andrew McCallum, Andrew McCallum, Erik Learned-Miller, Kevin Huang, Elsa Olivetti, Edward Kim, Emma Strubell, Sheshera Mysore and Zach Jensen and has published in prestigious journals such as IEEE Transactions on Image Processing, Machine Learning and Journal of Chemical Information and Modeling.

In The Last Decade

Co-authorship network of co-authors of Haw-Shiuan Chang i

Fields of papers citing papers by Haw-Shiuan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haw-Shiuan Chang. 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 Haw-Shiuan Chang. The network helps show where Haw-Shiuan Chang may publish in the future.

Countries citing papers authored by Haw-Shiuan Chang

Since Specialization
Citations

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