Wei Lan
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Finance top 10%
- Financial Risk and Volatility Modeling
- Financial Markets and Investment Strategies
Papers in
-
- Statistical Methods and Inference 19
- Advanced Statistical Methods and Models 14
- Statistical Methods and Bayesian Inference 12
- Finance 10
- Financial Risk and Volatility Modeling 8
- Financial Markets and Investment Strategies 6
- Co-authors
- Chih‐Ling TsaiHansheng WangJing ZhouTao ZouYingkai TangJingjing TongJun ShaoFang Fang
- Journals
- Journal of Business and Economic Statistics (10 papers)Computational Statistics & Data Analysis (5 papers)Journal of Econometrics (5 papers)Science China Mathematics (3 papers)Journal of Multivariate Analysis (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Lan
44 papers receiving 380 citations
Peers
Comparison fields: 5 of 78
- Statistics and Probability 131
- Finance 66
- Accounting 57
- Economics and Econometrics 114
- Statistical and Nonlinear Physics 33
Countries citing papers authored by Wei Lan
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).
Fields of papers citing papers by Wei Lan
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.
Co-authors
The 25 scholars most cited alongside Wei Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 24 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 2 | |
| 11 | 2019 | 9 | |
| 12 | 2016 | 17 | |
| 13 | 2016 | 29 | |
| 14 | 2016 | 7 | |
| 15 | 2015 | 5 | |
| 16 | 2015 | 15 | |
| 17 | 2014 | 1 | |
| 18 | 2014 | 0 | |
| 19 | 2011 | 7 | |
| 20 | The Rectification Method and Sequencing Algorithm of The Inconsistent Interval Number Judgement Matrix | 2003 | 2 |
About Wei Lan
Wei Lan is a scholar working on Statistics and Probability, Finance, Economics and Econometrics, Accounting and Statistical and Nonlinear Physics, having authored 54 papers that have together received 392 indexed citations. Recurring topics across this work include Statistical Methods and Inference (19 papers), Advanced Statistical Methods and Models (14 papers), Spatial and Panel Data Analysis (14 papers), Statistical Methods and Bayesian Inference (12 papers), Financial Risk and Volatility Modeling (8 papers), Complex Network Analysis Techniques (6 papers), Corporate Finance and Governance (6 papers) and Financial Markets and Investment Strategies (6 papers). The work is most often cited by research in Statistics and Probability (131 citations), Finance (66 citations), Accounting (57 citations), Economics and Econometrics (114 citations) and Statistical and Nonlinear Physics (33 citations). Wei Lan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chih‐Ling Tsai, Hansheng Wang, Jing Zhou, Tao Zou, Yingkai Tang, Jingjing Tong, Jun Shao, Fang Fang, Yingying Ma and Ping-Shou Zhong. Their work appears in journals such as Journal of Business and Economic Statistics, Computational Statistics & Data Analysis, Journal of Econometrics, Science China Mathematics and Journal of Multivariate Analysis.
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.