Kai-Wei Chang

149 papers and 3.6k indexed citations i.

About

Kai-Wei Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Kai-Wei Chang has authored 149 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Artificial Intelligence, 36 papers in Computer Vision and Pattern Recognition and 13 papers in Information Systems. Recurrent topics in Kai-Wei Chang’s work include Topic Modeling (92 papers), Natural Language Processing Techniques (64 papers) and Multimodal Machine Learning Applications (31 papers). Kai-Wei Chang is often cited by papers focused on Topic Modeling (92 papers), Natural Language Processing Techniques (64 papers) and Multimodal Machine Learning Applications (31 papers). Kai-Wei Chang collaborates with scholars based in United States, China and United Kingdom. Kai-Wei Chang's co-authors include Jieyu Zhao, Nanyun Peng, Wasi Uddin Ahmad, Vicente Ordóñez, Mark Yatskar, Tianlu Wang, Prem Natarajan, Emily Sheng, Saikat Chakraborty and Baishakhi Ray and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Kai-Wei Chang i

Fields of papers citing papers by Kai-Wei Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai-Wei Chang

Since Specialization
Citations

This map shows the geographic impact of Kai-Wei 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 Kai-Wei Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-Wei 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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2025