Sang‐Hyeob Kim

1.4k total citations
46 papers, 1.1k citations indexed

About

Sang‐Hyeob Kim is a scholar working on Materials Chemistry, Experimental and Cognitive Psychology and Electrical and Electronic Engineering. According to data from OpenAlex, Sang‐Hyeob Kim has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Materials Chemistry, 11 papers in Experimental and Cognitive Psychology and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Sang‐Hyeob Kim's work include Emotion and Mood Recognition (11 papers), ZnO doping and properties (9 papers) and EEG and Brain-Computer Interfaces (8 papers). Sang‐Hyeob Kim is often cited by papers focused on Emotion and Mood Recognition (11 papers), ZnO doping and properties (9 papers) and EEG and Brain-Computer Interfaces (8 papers). Sang‐Hyeob Kim collaborates with scholars based in South Korea, Japan and Singapore. Sang‐Hyeob Kim's co-authors include Sang‐Woo Kim, Eun-Hye Jang, Jin‐Hun Sohn, Byoung‐Jun Park, Jae‐Young Choi, Sangyoon Lee, Jong Min Kim, In-Soo Kim, Mi‐Jin Jin and Dukhyun Choi and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Applied Physics Letters.

In The Last Decade

Sang‐Hyeob Kim

40 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sang‐Hyeob Kim 530 451 437 169 162 46 1.1k
Vincenzo Vinciguerra 991 1.9× 1.3k 2.8× 1.2k 2.7× 239 1.4× 65 0.4× 69 2.1k
G.‐M. Rotaru 468 0.9× 483 1.1× 262 0.6× 169 1.0× 325 2.0× 29 1.2k
Sang Won Lee 504 1.0× 152 0.3× 436 1.0× 299 1.8× 62 0.4× 62 1.5k
Martin Ouwerkerk 325 0.6× 69 0.2× 147 0.3× 45 0.3× 55 0.3× 30 706
Anderson D. Smith 910 1.7× 708 1.6× 1.1k 2.5× 202 1.2× 507 3.1× 71 1.9k
Yubo Li 165 0.3× 423 0.9× 520 1.2× 129 0.8× 122 0.8× 66 888
Ahmad Nazlim Yusoff 463 0.9× 141 0.3× 213 0.5× 159 0.9× 849 5.2× 55 1.2k
Murat Kaya Yapici 117 0.2× 1.1k 2.4× 507 1.2× 340 2.0× 56 0.3× 74 1.4k
Ming Lei 269 0.5× 314 0.7× 423 1.0× 165 1.0× 73 0.5× 65 1.0k
Kang‐Il Song 198 0.4× 694 1.5× 307 0.7× 239 1.4× 276 1.7× 40 1.2k

Countries citing papers authored by Sang‐Hyeob Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Hyeob Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang‐Hyeob Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Hyeob Kim. A scholar is included among the top collaborators of Sang‐Hyeob Kim 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 Sang‐Hyeob Kim. Sang‐Hyeob Kim 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
1.
Park, Byoung‐Jun, et al.. (2015). Classification of Human Emotions from Physiological signals using Machine Learning Algorithms Recognition of Pain, Boredom, and Surprise Emotions. 2 indexed citations
2.
Lee, Eun‐Mi, Dae-Yong Kim, Ah-Young Kim, et al.. (2015). Chronic effects of losartan on the muscles and the serologic profiles of mdx mice. Life Sciences. 143. 35–42. 23 indexed citations
3.
Jang, Eun-Hye, Byoung‐Jun Park, Misook Park, Sang‐Hyeob Kim, & Jin‐Hun Sohn. (2015). Analysis of physiological signals for recognition of boredom, pain, and surprise emotions. Journal of PHYSIOLOGICAL ANTHROPOLOGY. 34(1). 25–25. 118 indexed citations
4.
Kim, Sang‐Hyeob, et al.. (2014). Subcutaneous leiomyosarcoma in a Smad3+/- mouse.. Pakistan Veterinary Journal. 34(3). 420–422.
5.
Lee, Kanghyuck, Hyeon‐Jin Shin, Han Sol Kim, et al.. (2014). Nanocrystalline‐Graphene‐Tailored Hexagonal Boron Nitride Thin Films. Angewandte Chemie. 126(43). 11677–11681. 5 indexed citations
6.
Lee, Kanghyuck, Hyeon‐Jin Shin, Brijesh Kumar, et al.. (2014). Nanocrystalline‐Graphene‐Tailored Hexagonal Boron Nitride Thin Films. Angewandte Chemie International Edition. 53(43). 11493–11497. 22 indexed citations
7.
Ki, Mi‐Ran, Meeyul Hwang, Ah-Young Kim, et al.. (2014). Role of vacuolating cytotoxin VacA and cytotoxin-associated antigen CagA of Helicobacter pylori in the progression of gastric cancer. Molecular and Cellular Biochemistry. 396(1-2). 23–32. 16 indexed citations
8.
Jang, Eun-Hye, et al.. (2013). Classification of Human Emotions from Physiological signals using Machine Learning Algorithms. Advances in Computer-Human Interaction. 395–400. 8 indexed citations
9.
Jang, Eun-Hye, et al.. (2013). Classification of Three Negative Emotions based on Physiological Signals. 75–78. 4 indexed citations
10.
Park, Byoung‐Jun, et al.. (2013). Emotion Recognition using Autonomic Nervous System Responses. Advances in Computer-Human Interaction. 389–394. 3 indexed citations
11.
Kang, Kyung‐Ku, Ah-Young Kim, Eun‐Mi Lee, et al.. (2013). A case of metastatic cholangiocarcinoma in a ferret. 14(2). 128–131.
12.
Huh, Chul, Bong Kyu Kim, Byoung-Jun Park, Eun-Hye Jang, & Sang‐Hyeob Kim. (2013). Enhancement in electron transport and light emission efficiency of a Si nanocrystal light-emitting diode by a SiCN/SiC superlattice structure. Nanoscale Research Letters. 8(1). 14–14. 10 indexed citations
13.
Jang, Eun-Hye, et al.. (2012). Emotion Recognition Through ANS Responses Evoked by Negative Emotions. Advances in Computer-Human Interaction. 218–223. 3 indexed citations
14.
Jang, Eun-Hye, Byoung‐Jun Park, Sang‐Hyeob Kim, & Jin‐Hun Sohn. (2012). Emotion classification based on physiological signals induced by negative emotions: Discriminantion of negative emotions by machine learning algorithm. 283–288. 18 indexed citations
15.
Shin, Kyung‐Sik, Hyejeong Park, Brijesh Kumar, et al.. (2012). Inverted Organic Solar Cells with ZnO Nanowalls Prepared Using Wet Chemical Etching in a KOH Solution. Journal of Nanoscience and Nanotechnology. 12(2). 1234–1237. 5 indexed citations
16.
Choi, Dukhyun, Mi‐Jin Jin, In-Soo Kim, et al.. (2009). Mechanically Powered Transparent Flexible Charge‐Generating Nanodevices with Piezoelectric ZnO Nanorods. Advanced Materials. 21(21). 2185–2189. 378 indexed citations
17.
Lee, Jin‐Moo, Sungjin Kim, Sang‐Woo Kim, et al.. (2008). ZnO nanotips and nanorods on carbon nanotube/Si substrates: anomalous p-type like optical properties of undoped ZnO nanotips. Nanotechnology. 19(24). 245708–245708. 10 indexed citations
18.
Lee, Jin‐Moo, Donggu Lee, Sungjin Kim, et al.. (2007). Low-temperature synthesis of one-dimensional ZnO nanostructures on screen-printed carbon nanotube films. Physica E Low-dimensional Systems and Nanostructures. 40(7). 2526–2530. 11 indexed citations
19.
Park, Hyunkyu, B. Yang, Sang‐Woo Kim, et al.. (2006). Formation of silicon oxide nanowires directly from Au/Si and Pd–Au/Si substrates. Physica E Low-dimensional Systems and Nanostructures. 37(1-2). 158–162. 24 indexed citations
20.
Im, Hoong-Sun, et al.. (1997). Deposition of Ferroelectric PB(Zr 0.52 Ti 0.48 )O 3 Films on Platinized Silicon Using Nd:YAG Laser. Bulletin of the Korean Chemical Society. 18(1). 56–61. 2 indexed citations

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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