Han‐Wool Yeon

2.1k citations
13 papers · 1.0k indexed · 1 hit paper · h-index 9
Topics
Advanced Memory and Neural Computing (6 papers)Thin-Film Transistor Technologies (5 papers)ZnO doping and properties (3 papers)

In The Last Decade

Han‐Wool Yeon

12 papers receiving 1.0k citations

Hit Papers

SiGe epitaxial memory for neuromorphic computing with rep...20182026202020232018100200300400500

Peers

Han‐Wool Yeon
Comparison fields: 5 of 33
  • Electrical and Electronic Engineering 989
  • Cellular and Molecular Neuroscience 434
  • Polymers and Plastics 242
  • Materials Chemistry 207
  • Artificial Intelligence 100
Replace Scott H. Tan with:
Scott H. Tan United States
Kate J. Norris United States
Zuoao Xiao Singapore
Cuiya Qin China
Dae Eun Kwon South Korea
Shaochuan Chen China
Mario Laudato Italy
Deliang Ren China
Huiwu Mao China
Euijun Cha South Korea
Han‐Wool Yeon relative to Scott H. Tan United States Scott H. Tan's profile →
Citations per field
00.5×1.5×1.8×
Scott H. Tan · 1×
Citations per year

Countries citing papers authored by Han‐Wool Yeon

Since Specialization
Citations

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

Fields of papers citing papers by Han‐Wool Yeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han‐Wool Yeon. 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 Han‐Wool Yeon. The network helps show where Han‐Wool Yeon may publish in the future.

Co-authorship network of co-authors of Han‐Wool Yeon

This figure shows the co-authorship network connecting the top 25 collaborators of Han‐Wool Yeon. A scholar is included among the top collaborators of Han‐Wool Yeon 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 Han‐Wool Yeon. Han‐Wool Yeon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 2
2 0
3 4
4 218
5 15
6
SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocationsbreakdown →
592
7 25
8 10
9 49
10 15
11 30
12 4
13 52

About Han‐Wool Yeon

Han‐Wool Yeon is a scholar working on Instrumentation, Polymers and Plastics and Electrical and Electronic Engineering, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Thin-Film Transistor Technologies (5 papers) and ZnO doping and properties (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (434 citations), Polymers and Plastics (242 citations) and Electrical and Electronic Engineering (989 citations). Han‐Wool Yeon has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Scott H. Tan, Jeehwan Kim, Chanyeol Choi, Shinhyun Choi, Zefan Li, Shimeng Yu, Yunjo Kim, Pai-Yu Chen, Young‐Chang Joo and Yongmo Park. Their work appears in journals such as Nature, Nature Materials 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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