Wei-Ming Lee

418 citations
30 papers · 280 · h-index 10

Impact in

Papers in

    • Financial Risk and Volatility Modeling 6
    • Financial Markets and Investment Strategies 4
    • Numerical methods in engineering 4

Wei-Ming Lee

30 papers receiving 276 citations

Peers

Wei-Ming Lee
Comparison fields: 5 of 57
  • Finance 82
  • General Economics, Econometrics and Finance 44
  • Statistics and Probability 38
  • Economics and Econometrics 82
  • Accounting 26
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Citations per field
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Citations per year

Countries citing papers authored by Wei-Ming Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Ming Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Wei-Ming Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei-Ming Lee Line = papers co-authored together Wei-Ming Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200937
2 201532
3 200431
4 200627
5 202019
6 200915
7 200915
8 201513
9 201211
10 199610
11 20089
12 20099
13 19968
14 20107
15 20075
16 20154
17 20094
18
Robust M Tests without Consistent Estimation of Asymptotic Covariance Matrix
20054
19
Predicting the U.S. bear stock market using the consumption-wealth ratio
20123
20 20092

About Wei-Ming Lee

Wei-Ming Lee is a scholar working on Finance, Mechanics of Materials, General Economics, Econometrics and Finance, Statistics and Probability and Biomedical Engineering, having authored 30 papers that have together received 280 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (6 papers), Monetary Policy and Economic Impact (6 papers), Advanced Statistical Methods and Models (5 papers), Statistical Methods and Inference (5 papers), Financial Markets and Investment Strategies (4 papers), Numerical methods in engineering (4 papers), Acoustic Wave Phenomena Research (4 papers) and Electromagnetic Scattering and Analysis (4 papers). The work is most often cited by research in Finance (82 citations), General Economics, Econometrics and Finance (44 citations), Statistics and Probability (38 citations), Economics and Econometrics (82 citations) and Accounting (26 citations). Wei-Ming Lee has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Chung‐Ming Kuan, Jeng‐Tzong Chen, Roy Chaoming Hsu, Kuan-Chieh Wang, Bang‐Sup Song, Bedabrata Pain, Ju‐Chun Wang, Kom‐Bei Shiu, Fen‐Ling Liao and Yun-Shiang Shu. Their work appears in journals such as Computer Modeling in Engineering & Sciences, International Journal of Solids and Structures, Organometallics, Studies in Nonlinear Dynamics and Econometrics and IEEE Journal of Solid-State Circuits.

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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