Chunrong Ai

9.5k citations
45 papers · 7.0k indexed · 2 hit papers · h-index 17
Topics
Statistical Methods and Inference (17 papers)Statistical Methods and Bayesian Inference (11 papers)Monetary Policy and Economic Impact (10 papers)

In The Last Decade

Chunrong Ai

40 papers receiving 6.6k citations

Hit Papers

Interaction terms in logit and probit models20032026201020182003200410002.0k3.0k4.0k

Peers

Chunrong Ai
Comparison fields: 5 of 156
  • Economics and Econometrics 2.7k
  • Accounting 1.8k
  • Sociology and Political Science 1.4k
  • Strategy and Management 1.1k
  • Finance 958
Replace Jörn‐Steffen Pischke with:
Jörn‐Steffen Pischke United States
Hristos Doucouliagos Australia
Jonah B. Gelbach United States
Orley Ashenfelter United States
Leslie E. Papke United States
Peter Kennedy Canada
Marco Caliendo Germany
Arthur Lewbel United States
Joseph G. Altonji United States
Hidehiko Ichimura Japan
Chunrong Ai relative to Jörn‐Steffen Pischke United States Jörn‐Steffen Pischke's profile →
Citations per field
00.5×1.5×
Jörn‐Steffen Pischke · 1×
Citations per year

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).

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.

Co-authorship network of co-authors of Chunrong Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Chunrong Ai. A scholar is included among the top collaborators of Chunrong Ai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chunrong Ai. Chunrong Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 16
3 0
4 9
5 5
6 0
7 2
8 4
9 7
10 1
11 3
12 3
13 0
14 1
15 23
16
Interaction terms in logit and probit modelsbreakdown →
4385
17 70
18 3
19 3
20 3

About Chunrong Ai

Chunrong Ai is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 45 papers that have together received 7.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (17 papers), Statistical Methods and Bayesian Inference (11 papers) and Monetary Policy and Economic Impact (10 papers). The work is most often cited by research in Accounting (1.8k citations), Economics and Econometrics (2.7k citations) and Finance (958 citations). Chunrong Ai has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Edward C. Norton, Hua Wang, Xiaohong Chen, David E. M. Sappington, Xiaohong Chen, Frank M. Song, Arjun Chatrath, Steven P. Cassou, Yuanqing Zhang and Jean‐Louis Arcand. Their work appears in journals such as Econometrica, Energy and Journal of Econometrics.

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