Peng Ding

75 papers and 4.7k indexed citations i.

About

Peng Ding is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Peng Ding has authored 75 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Statistics and Probability, 13 papers in Economics and Econometrics and 5 papers in Artificial Intelligence. Recurrent topics in Peng Ding’s work include Advanced Causal Inference Techniques (56 papers), Statistical Methods and Inference (46 papers) and Statistical Methods and Bayesian Inference (38 papers). Peng Ding is often cited by papers focused on Advanced Causal Inference Techniques (56 papers), Statistical Methods and Inference (46 papers) and Statistical Methods and Bayesian Inference (38 papers). Peng Ding collaborates with scholars based in United States, China and Singapore. Peng Ding's co-authors include Tyler J. VanderWeele, Maya B Mathur, Corinne A. Riddell, Xinran Li, Avi Feller, Fan Li, Shu Yang, Luke Miratrix, Jiannan Lu and Zhichao Jiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Annals of Internal Medicine.

In The Last Decade

Co-authorship network of co-authors of Peng Ding i

Fields of papers citing papers by Peng Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peng Ding

Since Specialization
Citations

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