Wai Lee

876 citations
63 papers · 617 indexed · h-index 12

Impact in

Papers in

    • Financial Markets and Investment Strategies 14
    • Financial Risk and Volatility Modeling 9
    • Stochastic processes and financial applications 4

Wai Lee

58 papers receiving 540 citations

Peers

Wai Lee
Comparison fields: 5 of 81
  • Finance 393
  • Management Science and Operations Research 144
  • General Economics, Econometrics and Finance 89
  • Accounting 105
  • Economics and Econometrics 233
Replace Jared Williams with:
Jared Williams United States
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Stephen Gordon Canada
Michael Graff Switzerland
Fabrizio Cipollini Italy
Álvaro Almeida Portugal
David Miller United States
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Wai‐Man Liu Australia
G. C. Archibald Canada
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Citations per field
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Citations per year

Countries citing papers authored by Wai Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wai Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Wai 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 Wai Lee Line = papers co-authored together Wai Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20211
3 20213
4 20214
5 20210
6 20202
7 20204
8 20209
9 20200
10 202011
11 20192
12 201930
13 20184
14 20168
15 20121
16 20112
17 20101
18
American Association for Cancer Research--99th Annual Meeting. Clinical and preclinical data on promising therapeutics.
20081
19
Analyzing the impact of prenatal care on infant health: do we have useful input and output measures?
20083
20
Segmentation of the A and B Share Chinese Equity Markets
19996

About Wai Lee

Wai Lee is a scholar working on Medical Terminology, Finance, Rheumatology, Urology and Management Science and Operations Research, having authored 63 papers that have together received 617 indexed citations. Recurring topics across this work include Pelvic floor disorders treatments (17 papers), Financial Markets and Investment Strategies (14 papers), Financial Risk and Volatility Modeling (9 papers), Anorectal Disease Treatments and Outcomes (6 papers), Market Dynamics and Volatility (6 papers), Risk and Portfolio Optimization (6 papers), Housing Market and Economics (5 papers) and Stochastic processes and financial applications (4 papers). The work is most often cited by research in Finance (393 citations), Management Science and Operations Research (144 citations), General Economics, Econometrics and Finance (89 citations), Accounting (105 citations) and Economics and Econometrics (233 citations). Wai Lee has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include Hung‐Gay Fung, Kathleen C. Kobashi, Alvaro Lucioni, Una Lee, Daniel Lam, Hakan Kaya, Jason Kim, Kamran P. Sajadi, Steven Weissbart and Katherine Wang. Their work appears in journals such as The Journal of Portfolio Management, The Journal of Urology, Urology, Neurourology and Urodynamics and International Urogynecology Journal.

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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