Ming-Yi Lee

1.9k citations
121 papers · 1.5k · h-index 21

Impact in

    • Advanced Harmonic Analysis Research
    • Mathematical Analysis and Transform Methods
    • Holomorphic and Operator Theory
    • Advanced Mathematical Physics Problems

Papers in

Ming-Yi Lee

112 papers receiving 1.4k citations

Peers

Ming-Yi Lee
Comparison fields: 5 of 136
  • Applied Mathematics 226
  • Mathematical Physics 140
  • Pharmacology 113
  • Biotechnology 109
  • Complementary and alternative medicine 84
Replace Hiroshi Toda with:
Hiroshi Toda Japan
Ye Yuan China
Shunsuke Kotani Japan
Patrick Lang United States
H.‐P. Kruse Germany
Ester Tellone Italy
Yifang Li China
Silvana Ficarra Italy
Jiehong Yang China
Xiaoying Jiang China
Ming-Yi Lee relative to Hiroshi Toda Japan Hiroshi Toda's profile →
Citations per field
00.5×7.6×
Hiroshi Toda · 1×
Citations per year

Countries citing papers authored by Ming-Yi Lee

Since Specialization
Citations

This map shows the geographic impact of Ming-Yi 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-Yi 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-Yi Lee more than expected).

Fields of papers citing papers by Ming-Yi Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014139
2 2008102
3 201160
4 200758
5 200657
6 200956
7 200848
8 201942
9 201139
10 200237
11 200636
12 202129
13 201729
14 200929
15 202225
16 200925
17 202024
18 200724
19 201624
20 199324

About Ming-Yi Lee

Ming-Yi Lee is a scholar working on Applied Mathematics, Molecular Biology, Mathematical Physics, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics, having authored 121 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Harmonic Analysis Research (35 papers), Neuroscience and Neuropharmacology Research (17 papers), Mathematical Analysis and Transform Methods (16 papers), Advanced Mathematical Physics Problems (15 papers), Holomorphic and Operator Theory (11 papers), Semiconductor Quantum Structures and Devices (10 papers), Semiconductor materials and interfaces (10 papers) and Semiconductor materials and devices (10 papers). The work is most often cited by research in Applied Mathematics (226 citations), Mathematical Physics (140 citations), Pharmacology (113 citations), Biotechnology (109 citations) and Complementary and alternative medicine (84 citations). Ming-Yi Lee has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Kuan‐Ming Chiu, Su‐Jane Wang, Tzu‐Yu Lin, Cheng-Wei Lü, Chin-Cheng Lin, Wenchang Chiang, Yueh‐Hsiung Kuo, Yongsheng Han, Seiji Samukawa and Kasturi Dutta. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Mathematical Analysis and Applications, Journal of Geometric Analysis, Integral Equations and Operator Theory and Biomedicines.

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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