Wei-Ming Lee

428 citations
30 papers · 287 · h-index 11

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 283 citations

Peers

Wei-Ming Lee
Comparison fields: 5 of 57
  • Finance 83
  • General Economics, Econometrics and Finance 45
  • Statistics and Probability 39
  • Economics and Econometrics 83
  • 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 200432
4 200628
5 202020
6 200916
7 200915
8 201513
9 201211
10 200810
11 199610
12 20099
13 19968
14 20108
15 20155
16 20075
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 287 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (6 papers), Monetary Policy and Economic Impact (6 papers), Statistical Methods and Inference (5 papers), Advanced Statistical Methods and Models (5 papers), Numerical methods in engineering (4 papers), Electromagnetic Scattering and Analysis (4 papers), Financial Markets and Investment Strategies (4 papers) and Acoustic Wave Phenomena Research (4 papers). The work is most often cited by research in Finance (83 citations), General Economics, Econometrics and Finance (45 citations), Statistics and Probability (39 citations), Economics and Econometrics (83 citations) and Accounting (26 citations). Wei-Ming Lee has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chung‐Ming Kuan, Jeng‐Tzong Chen, Roy Chaoming Hsu, Kuan-Chieh Wang, Sue‐Lein Wang, Yun-Shiang Shu, Bang‐Sup Song, Gene‐Hsiang Lee, Fen‐Ling Liao and Michael Y. Chiang. Their work appears in journals such as International Journal of Solids and Structures, Organometallics, Computer Modeling in Engineering & Sciences, Journal of Computational Physics 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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