Shun Chen

14 papers and 973 indexed citations i.

About

Shun Chen is a scholar working on Artificial Intelligence, Economics and Econometrics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shun Chen has authored 14 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Economics and Econometrics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shun Chen’s work include Energy Load and Power Forecasting (3 papers), AI in cancer detection (3 papers) and Market Dynamics and Volatility (3 papers). Shun Chen is often cited by papers focused on Energy Load and Power Forecasting (3 papers), AI in cancer detection (3 papers) and Market Dynamics and Volatility (3 papers). Shun Chen collaborates with scholars based in China, Netherlands and United States. Shun Chen's co-authors include Somshubra Majumdar, Fazle Karim, Houshang Darabi, Anbo Meng, Hao Yin, Jingmin Fan, Zuhong Ou, Weifeng Ding, Shiyuan Zheng and Hailong Liu and has published in prestigious journals such as Energy, IEEE Access and Frontiers in Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Shun Chen i

Fields of papers citing papers by Shun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shun Chen

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2026