Wei-Cheng Chang

15 papers and 526 indexed citations i.

About

Wei-Cheng Chang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wei-Cheng Chang has authored 15 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wei-Cheng Chang’s work include Text and Document Classification Technologies (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Topic Modeling (4 papers). Wei-Cheng Chang is often cited by papers focused on Text and Document Classification Technologies (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Topic Modeling (4 papers). Wei-Cheng Chang collaborates with scholars based in United States and Taiwan. Wei-Cheng Chang's co-authors include Yiming Yang, Yuexin Wu, Jingzhou Liu, Hsiang‐Fu Yu, Inderjit S. Dhillon, Kai Zhong, Yiming Yang, Barnabás Póczos, Chunliang Li and Yu Cheng and has published in prestigious journals such as Multimedia Tools and Applications, arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

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

Fields of papers citing papers by Wei-Cheng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wei-Cheng Chang

Since Specialization
Citations

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