Chaoqun Li

67 papers and 1.6k indexed citations i.

About

Chaoqun Li is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Chaoqun Li has authored 67 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 19 papers in Information Systems and 17 papers in Computer Science Applications. Recurrent topics in Chaoqun Li’s work include Machine Learning and Data Classification (29 papers), Imbalanced Data Classification Techniques (19 papers) and Bayesian Modeling and Causal Inference (18 papers). Chaoqun Li is often cited by papers focused on Machine Learning and Data Classification (29 papers), Imbalanced Data Classification Techniques (19 papers) and Bayesian Modeling and Causal Inference (18 papers). Chaoqun Li collaborates with scholars based in China, Italy and United States. Chaoqun Li's co-authors include Liangxiao Jiang, Lungan Zhang, Shasha Wang, Jia Wu, Shasha Wang, Huan Zhang, Qiu Chen, Wenqiang Xu, Zhihua Cai and Dong Yu and has published in prestigious journals such as NeuroImage, IEEE Transactions on Pattern Analysis and Machine Intelligence and Cerebral Cortex.

In The Last Decade

Co-authorship network of co-authors of Chaoqun Li i

Fields of papers citing papers by Chaoqun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chaoqun Li

Since Specialization
Citations

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