Heng Chang

31 papers and 295 indexed citations i.

About

Heng Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Heng Chang has authored 31 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Mechanical Engineering. Recurrent topics in Heng Chang’s work include Advanced Graph Neural Networks (13 papers), Topic Modeling (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Heng Chang is often cited by papers focused on Advanced Graph Neural Networks (13 papers), Topic Modeling (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Heng Chang collaborates with scholars based in China, United States and Hong Kong. Heng Chang's co-authors include Wenwu Zhu, Yu Rong, Tingyang Xu, Junzhou Huang, Richard A. Wysk, Hsu‐Pin Wang, Wenbing Huang, Peng Cui, Honglei Zhang and T. W. Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Hydrogen Energy and Renewable Energy.

In The Last Decade

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

Fields of papers citing papers by Heng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Heng Chang

Since Specialization
Citations

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