Ming‐Chih Lee

1.4k citations
49 papers · 1.1k · h-index 15

Impact in

Papers in

    • Financial Risk and Volatility Modeling 11
    • Financial Markets and Investment Strategies 7
    • GaN-based semiconductor devices and materials 8

Ming‐Chih Lee

47 papers receiving 1.1k citations

Peers

Ming‐Chih Lee
Comparison fields: 5 of 123
  • Finance 181
  • General Energy 18
  • Economics and Econometrics 419
  • General Economics, Econometrics and Finance 107
  • Aging 23
Replace Juan Carlos Molero with:
Juan Carlos Molero Australia
Junyi Liu China
Ana Escribano Spain
Ling Hu China
Jiaqian Chen China
Günter Lang Germany
Jiří Kukačka Czechia
Chen Ma China
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Awais Anwar Pakistan
Ming‐Chih Lee relative to Juan Carlos Molero Australia Juan Carlos Molero's profile →
Citations per field
00.5×2×4×6.5×
Juan Carlos Molero · 1×
Citations per year

Countries citing papers authored by Ming‐Chih Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chih Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009212
2 2003179
3 2007139
4 2003107
5 200463
6 199263
7 201354
8 201350
9 202026
10 201023
11 200822
12 200617
13 202116
14 200815
15 200515
16 200515
17 200614
18 201514
19 200712
20 201411

About Ming‐Chih Lee

Ming‐Chih Lee is a scholar working on Finance, Condensed Matter Physics, Economics and Econometrics, Atomic and Molecular Physics, and Optics and General Economics, Econometrics and Finance, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Market Dynamics and Volatility (11 papers), Financial Risk and Volatility Modeling (11 papers), GaN-based semiconductor devices and materials (8 papers), Financial Markets and Investment Strategies (7 papers), Monetary Policy and Economic Impact (5 papers), Semiconductor Quantum Structures and Devices (4 papers), Ga2O3 and related materials (3 papers) and ZnO doping and properties (3 papers). The work is most often cited by research in Finance (181 citations), General Energy (18 citations), Economics and Econometrics (419 citations), General Economics, Econometrics and Finance (107 citations) and Aging (23 citations). Ming‐Chih Lee has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ting-Huan Chang, Chien-Ming Huang, Jui‐Cheng Hung, Hung‐Chun Liu, Yoshihiro Ishikawa, Junichi Sadoshima, Satoshi Okumura, Jun-ichi Kawabe, Chull Hong and Gen Takagi. Their work appears in journals such as Japanese Journal of Applied Physics, Journal of Biotechnology, Energy Policy, Energy Economics and Scientia Horticulturae.

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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