Minseok Kim

2.4k citations
47 papers · 1.9k indexed · 2 hit papers · h-index 17

Minseok Kim

45 papers receiving 1.9k citations

Hit Papers

MoS2‐Based Tactile Sensor for Electronic Skin Applications3712016202620192022100200300400500

Peers

Minseok Kim
Comparison fields: 5 of 99
  • Biomedical Engineering 1.3k
  • Polymers and Plastics 327
  • Cognitive Neuroscience 239
  • Materials Chemistry 559
  • Electrical and Electronic Engineering 604
Replace Yu‐Hui Fang with:
Yu‐Hui Fang China
Tae‐Kyu Choi South Korea
Jae Eun Jang South Korea
Huimin Wang China
John X. J. Zhang United States
Mark D. Poliks United States
Zhiyi Zhang China
Zhao Yao China
Shaolei Wang China
S. Venkatesh India
Minseok Kim relative to Yu‐Hui Fang China Yu‐Hui Fang's profile →
Citations per field
00.5×20×40×68×
Yu‐Hui Fang · 1×
Citations per year

Countries citing papers authored by Minseok Kim

Since Specialization
Citations

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

Fields of papers citing papers by Minseok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minseok Kim. 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 Minseok Kim. The network helps show where Minseok Kim may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20249
3 202410
4 20242
5 20242
6 20246
7 20232
8 202313
9 20233
10 202234
11 20201
12 2019110
13
Investigation of Feature Reduction for Body Motion Identification using Radio Channel Characteristics in Wireless BAN
20181
14 201710
15 201594
16 201454
17 201327
18 201112
19 201125
20 20048

About Minseok Kim

Minseok Kim is a scholar working on Biomedical Engineering, Biophysics and Electronic, Optical and Magnetic Materials, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (19 papers), Microfluidic and Capillary Electrophoresis Applications (16 papers), Innovative Microfluidic and Catalytic Techniques Innovation (9 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), 3D Printing in Biomedical Research (6 papers), Nanopore and Nanochannel Transport Studies (5 papers), Tactile and Sensory Interactions (4 papers) and Gold and Silver Nanoparticles Synthesis and Applications (3 papers). The work is most often cited by research in Biomedical Engineering (1.3k citations), Polymers and Plastics (327 citations) and Cognitive Neuroscience (239 citations). Minseok Kim has collaborated with scholars based in South Korea, Kazakhstan and Indonesia. Frequent co-authors include Jong‐Hyun Ahn, Yong Ju Park, Xiang Chen, Taesung Kim, Tanmoy Das, Houk Jang, Dogyeong Ha, Se‐woon Choe, Sung Kuk Lee and Jongwan Lee. Their work appears in journals such as Advanced Materials, Nature Communications and Nano 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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