Min‐Hyun Lee

1.5k citations
32 papers · 1.3k indexed · 1 hit paper · h-index 13
Topics
Graphene research and applications (7 papers)Semiconductor materials and devices (7 papers)Advanced Memory and Neural Computing (6 papers)

In The Last Decade

Min‐Hyun Lee

31 papers receiving 1.2k citations

Hit Papers

Vertical MoS2 Double-Layer Memristor with Electrochemical...20192026202120232019100200300

Peers

Min‐Hyun Lee
Comparison fields: 5 of 57
  • Electrical and Electronic Engineering 891
  • Materials Chemistry 543
  • Biomedical Engineering 384
  • Cellular and Molecular Neuroscience 191
  • Polymers and Plastics 167
Replace О. А. Агеев with:
О. А. Агеев Russia
M. Porti Spain
Sushant Sonde United States
Gengxu Chen China
Sichao Du China
Dagou A. Zeze United Kingdom
Giulia Privitera United Kingdom
Hwan Sung Choe United States
Jian‐Min Yan China
Mindaugas Lukosius Germany
Min‐Hyun Lee relative to О. А. Агеев Russia О. А. Агеев's profile →
Citations per field
00.5×3.3×
О. А. Агеев · 1×
Citations per year

Countries citing papers authored by Min‐Hyun Lee

Since Specialization
Citations

This map shows the geographic impact of Min‐Hyun 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‐Hyun 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‐Hyun Lee more than expected).

Fields of papers citing papers by Min‐Hyun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min‐Hyun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Hyun Lee. A scholar is included among the top collaborators of Min‐Hyun 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‐Hyun Lee. Min‐Hyun 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 3
2 0
3 51
4 7
5 110
6 9
7 3
8 1
9 95
10 159
11
Vertical MoS2 Double-Layer Memristor with Electrochemical Metallization as an Atomic-Scale Synapse with Switching Thresholds Approaching 100 mVbreakdown →
369
12 7
13 32
14 108
15 4
16 8
17 5
18 32
19 12
20 4

About Min‐Hyun Lee

Min‐Hyun Lee is a scholar working on Structural Biology, Electrical and Electronic Engineering and Materials Chemistry, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Graphene research and applications (7 papers), Semiconductor materials and devices (7 papers) and Advanced Memory and Neural Computing (6 papers). The work is most often cited by research in Electrical and Electronic Engineering (891 citations), Polymers and Plastics (167 citations) and Materials Chemistry (543 citations). Min‐Hyun Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Hyeon‐Jin Shin, Donhee Ham, Houk Jang, Haeryong Kim, Seongjun Park, Yeonchoo Cho, Ki‐Bum Kim, Renjing Xu, Hyun-Mi Kim and Minsu Seol. Their work appears in journals such as Advanced Materials, Nano Letters and Applied Physics Letters.

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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