Chunrong Ai

44 papers and 6.8k indexed citations i.

About

Chunrong Ai is a scholar working on Economics and Econometrics, Statistics and Probability and General Economics, Econometrics and Finance. According to data from OpenAlex, Chunrong Ai has authored 44 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Economics and Econometrics, 20 papers in Statistics and Probability and 10 papers in General Economics, Econometrics and Finance. Recurrent topics in Chunrong Ai’s work include Statistical Methods and Inference (16 papers), Statistical Methods and Bayesian Inference (11 papers) and Monetary Policy and Economic Impact (10 papers). Chunrong Ai is often cited by papers focused on Statistical Methods and Inference (16 papers), Statistical Methods and Bayesian Inference (11 papers) and Monetary Policy and Economic Impact (10 papers). Chunrong Ai collaborates with scholars based in United States, China and United Kingdom. Chunrong Ai's co-authors include Edward C. Norton, Hua Wang, Xiaohong Chen, David E. M. Sappington, Xiaohong Chen, Frank M. Song, Arjun Chatrath, Steven P. Cassou, Jean‐Louis Arcand and Yuanqing Zhang and has published in prestigious journals such as Econometrica, Journal of Econometrics and Energy.

In The Last Decade

Co-authorship network of co-authors of Chunrong Ai i

Fields of papers citing papers by Chunrong Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chunrong Ai

Since Specialization
Citations

This map shows the geographic impact of Chunrong Ai'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 Chunrong Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunrong Ai 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
2025