Ernie Chang

14 papers and 76 indexed citations i.

About

Ernie Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ernie Chang has authored 14 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Ernie Chang’s work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Speech Recognition and Synthesis (4 papers). Ernie Chang is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Speech Recognition and Synthesis (4 papers). Ernie Chang collaborates with scholars based in Germany, South Korea and United States. Ernie Chang's co-authors include Vera Demberg, Xiaoyu Shen, Hui Su, José G. C. de Souza, Evgeny Matusov, Raghuraman Krishnamoorthi, Zechun Liu, Matteo Negri, Vikas Chandra and Yangyang Shi and has published in prestigious journals such as INFM-OAR (INFN Catania), arXiv (Cornell University) and Interspeech 2022.

In The Last Decade

Co-authorship network of co-authors of Ernie Chang i

Fields of papers citing papers by Ernie Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ernie Chang

Since Specialization
Citations

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