Wei Chang

21 papers and 227 indexed citations i.

About

Wei Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Wei Chang has authored 21 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Computational Mechanics. Recurrent topics in Wei Chang’s work include Face and Expression Recognition (8 papers), Sparse and Compressive Sensing Techniques (7 papers) and Machine Learning and ELM (6 papers). Wei Chang is often cited by papers focused on Face and Expression Recognition (8 papers), Sparse and Compressive Sensing Techniques (7 papers) and Machine Learning and ELM (6 papers). Wei Chang collaborates with scholars based in China and United States. Wei Chang's co-authors include Feiping Nie, Xuelong Li, Rong Wang, Zhanxuan Hu, Daniel Zeng, Hsinchun Chen, Guanghui Li, Sheng Jin, Danyang Wu and James Ma and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and IEEE Journal on Selected Areas in Communications.

In The Last Decade

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

Fields of papers citing papers by Wei Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wei Chang

Since Specialization
Citations

This map shows the geographic impact of 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 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 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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