Min Hwan Lee

5.2k citations
74 papers · 4.4k indexed · 1 hit paper · h-index 29
Topics
Advanced Memory and Neural Computing (24 papers)Advancements in Solid Oxide Fuel Cells (22 papers)Electrocatalysts for Energy Conversion (18 papers)

In The Last Decade

Min Hwan Lee

71 papers receiving 4.3k citations

Hit Papers

Atomic structure of conducting nanofilaments in TiO2 resi...2010202620152020201050010001.5k

Peers

Min Hwan Lee
Comparison fields: 5 of 82
  • Electrical and Electronic Engineering 3.7k
  • Materials Chemistry 1.7k
  • Polymers and Plastics 1.1k
  • Cellular and Molecular Neuroscience 1.0k
  • Renewable Energy, Sustainability and the Environment 407
Replace Deok‐Hwang Kwon with:
Deok‐Hwang Kwon South Korea
Linfeng Sun China
Shinbuhm Lee South Korea
Gunuk Wang South Korea
Taeho Roy Kim United States
Sebastiano Bellani Italy
Haiyang Xu China
Christoph Baeumer Germany
Xiaoqin Yan China
Fukai Shan China
Min Hwan Lee relative to Deok‐Hwang Kwon South Korea Deok‐Hwang Kwon's profile →
Citations per field
00.5×1.5×2.2×
Deok‐Hwang Kwon · 1×
Citations per year

Countries citing papers authored by Min Hwan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Min Hwan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Hwan Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Min Hwan Lee. A scholar is included among the top collaborators of Min Hwan Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Min Hwan Lee. Min Hwan Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 0
3 10
4 13
5 10
6 4
7 52
8 71
9 4
10 10
11 24
12 6
13 171
14 75
15 63
16 68
17 115
18
Atomic structure of conducting nanofilaments in TiO2 resistive switching memorybreakdown →
1794
19 125
20 94

About Min Hwan Lee

Min Hwan Lee is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Electrochemistry, having authored 74 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (24 papers), Advancements in Solid Oxide Fuel Cells (22 papers) and Electrocatalysts for Energy Conversion (18 papers). The work is most often cited by research in Polymers and Plastics (1.1k citations), Electrical and Electronic Engineering (3.7k citations) and Cellular and Molecular Neuroscience (1.0k citations). Min Hwan Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Cheol Seong Hwang, Gun Hwan Kim, Kyung Min Kim, Seungwu Han, Xiang‐Shu Li, Deok‐Hwang Kwon, Jae Hyuck Jang, Seul Ji Song, Bora Lee and Miyoung Kim. Their work appears in journals such as Advanced Materials, Applied Physics Letters and Journal of Applied Physics.

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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