Wei Lan

50 papers and 346 indexed citations i.

About

Wei Lan is a scholar working on Statistics and Probability, Economics and Econometrics and Finance. According to data from OpenAlex, Wei Lan has authored 50 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics and Probability, 19 papers in Economics and Econometrics and 10 papers in Finance. Recurrent topics in Wei Lan’s work include Statistical Methods and Inference (19 papers), Advanced Statistical Methods and Models (14 papers) and Statistical Methods and Bayesian Inference (12 papers). Wei Lan is often cited by papers focused on Statistical Methods and Inference (19 papers), Advanced Statistical Methods and Models (14 papers) and Statistical Methods and Bayesian Inference (12 papers). Wei Lan collaborates with scholars based in China, United States and Australia. Wei Lan's co-authors include Chih‐Ling Tsai, Hansheng Wang, Jing Zhou, Tao Zou, Yingkai Tang, Ping-Shou Zhong, Fang Fang, Jingjing Tong, Jun Shao and Shujie Ma and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Econometrics and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Wei Lan i

Fields of papers citing papers by Wei Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wei Lan

Since Specialization
Citations

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