Chuangquan Chen

About

Chuangquan Chen is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Chuangquan Chen has authored 26 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Cognitive Neuroscience and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Chuangquan Chen’s work include Machine Learning and ELM (10 papers), EEG and Brain-Computer Interfaces (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Chuangquan Chen is often cited by papers focused on Machine Learning and ELM (10 papers), EEG and Brain-Computer Interfaces (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Chuangquan Chen collaborates with scholars based in China, Macao and Greece. Chuangquan Chen's co-authors include Hongtao Wang, Chi‐Man Vong, Anastasios Bezerianos, Zhiguo Zhang, Feng Wan, Yu Sun, Pak Kin Wong, Nitish V. Thakor, Junhua Li and Pak-Kin Wong and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

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

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Fields of papers citing papers by Chuangquan Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chuangquan Chen

Since Specialization

Citations

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

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