Yin-Wen Chang

6 papers and 331 indexed citations i.

About

Yin-Wen Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Yin-Wen Chang has authored 6 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Yin-Wen Chang’s work include Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers) and Advanced Graph Neural Networks (1 paper). Yin-Wen Chang is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers) and Advanced Graph Neural Networks (1 paper). Yin-Wen Chang collaborates with scholars based in United States and Taiwan. Yin-Wen Chang's co-authors include Kai‐Wei Chang, Chih‐Jen Lin, Cho‐Jui Hsieh, Felix X. Yu, Sanjiv Kumar, Yiming Yang, Wei-Cheng Chang, Hyung Won Chung, Henry Tsai and Srinadh Bhojanapalli and has published in prestigious journals such as Journal of Machine Learning Research, Transactions of the Association for Computational Linguistics and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Yin-Wen Chang i

Fields of papers citing papers by Yin-Wen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yin-Wen Chang

Since Specialization
Citations

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