Chang‐Sik Son

1.2k total citations
99 papers, 917 citations indexed

About

Chang‐Sik Son is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Chang‐Sik Son has authored 99 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Electrical and Electronic Engineering, 35 papers in Materials Chemistry and 28 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Chang‐Sik Son's work include Semiconductor Quantum Structures and Devices (22 papers), ZnO doping and properties (20 papers) and Copper-based nanomaterials and applications (13 papers). Chang‐Sik Son is often cited by papers focused on Semiconductor Quantum Structures and Devices (22 papers), ZnO doping and properties (20 papers) and Copper-based nanomaterials and applications (13 papers). Chang‐Sik Son collaborates with scholars based in South Korea, Japan and Singapore. Chang‐Sik Son's co-authors include Yoon-Nyun Kim, Hyukhyun Ryu, Hyungseop Kim, Hyoung‐Seob Park, Minsoo Kim, Jae Yong Jung, Jeong Yong Lee, Xiao Wei Sun, Swee Tiam Tan and Jiho Chang and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and IEEE Access.

In The Last Decade

Chang‐Sik Son

94 papers receiving 894 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chang‐Sik Son South Korea 15 496 495 157 139 122 99 917
Jiahong Shen United States 17 447 0.9× 792 1.6× 160 1.0× 40 0.3× 27 0.2× 36 1.1k
Dongbo Li China 13 190 0.4× 447 0.9× 139 0.9× 111 0.8× 185 1.5× 42 785
R. K. Sharma India 12 981 2.0× 1.2k 2.4× 307 2.0× 101 0.7× 162 1.3× 55 1.7k
Shun‐Tsung Lo Taiwan 17 256 0.5× 426 0.9× 54 0.3× 263 1.9× 104 0.9× 60 1.1k
Giovanni Nisato Netherlands 18 400 0.8× 327 0.7× 184 1.2× 102 0.7× 348 2.9× 30 1.3k
M. D. Uplane India 22 1.1k 2.2× 1.1k 2.2× 241 1.5× 64 0.5× 244 2.0× 62 1.6k
John Scharf United States 12 1.7k 3.5× 1.7k 3.4× 51 0.3× 290 2.1× 76 0.6× 19 2.3k
Yoshiyuki Yonezawa Japan 22 1.4k 2.9× 182 0.4× 241 1.5× 248 1.8× 157 1.3× 135 1.8k
Antonino Parisi Italy 18 465 0.9× 135 0.3× 62 0.4× 167 1.2× 255 2.1× 79 829
Shan Lin China 13 277 0.6× 245 0.5× 229 1.5× 64 0.5× 204 1.7× 20 743

Countries citing papers authored by Chang‐Sik Son

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Sik Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang‐Sik Son. 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 Chang‐Sik Son. The network helps show where Chang‐Sik Son may publish in the future.

Co-authorship network of co-authors of Chang‐Sik Son

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Sik Son. A scholar is included among the top collaborators of Chang‐Sik Son 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 Chang‐Sik Son. Chang‐Sik Son 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.
Son, Chang‐Sik, et al.. (2025). Depthwise-Separable U-Net for Wearable Sensor-Based Human Activity Recognition. Applied Sciences. 15(16). 9134–9134.
2.
3.
Son, Chang‐Sik & Won‐Seok Kang. (2023). Multivariate CNN Model for Human Locomotion Activity Recognition with a Wearable Exoskeleton Robot. Bioengineering. 10(9). 1082–1082. 6 indexed citations
4.
Son, Chang‐Sik, Sang Hyeon Jin, & Won‐Seok Kang. (2022). Propensity-Score-Matched Evaluation of Adverse Events Affecting Recovery after COVID-19 Vaccination: On Adenovirus and mRNA Vaccines. Vaccines. 10(2). 284–284. 5 indexed citations
5.
Son, Chang‐Sik, et al.. (2022). Variations in the Physical Properties of RF-Sputtered CdS Thin Films Observed at Substrate Temperatures Ranging from 25 °C to 500 °C. Nanomaterials. 12(10). 1618–1618. 6 indexed citations
6.
Son, Chang‐Sik, et al.. (2022). The development of a web-based app employing machine learning for delirium prevention in long-term care facilities in South Korea. BMC Medical Informatics and Decision Making. 22(1). 220–220. 4 indexed citations
7.
Son, Chang‐Sik, et al.. (2021). Machine Learning to Identify Psychomotor Behaviors of Delirium for Patients in Long-Term Care Facility. IEEE Journal of Biomedical and Health Informatics. 26(4). 1802–1814. 10 indexed citations
8.
Jung, Jae Yong, et al.. (2021). Boron Nitride Nanoparticle Phosphors for Use in Transparent Films for Deep-UV Detection and White Light-Emitting Diodes. ACS Applied Nano Materials. 4(4). 3529–3536. 12 indexed citations
9.
Kim, Young Do, et al.. (2020). The Effect of ALD-Zn(O,S) Buffer Layer on the Performance of CIGSSe Thin Film Solar Cells. Energies. 13(2). 412–412. 5 indexed citations
10.
Son, Chang‐Sik, et al.. (2020). A Classification Method of Delirium Patients Using Local Covering-Based Rule Acquisition Approach with Rough Lower Approximation. KIPS Transactions on Software and Data Engineering. 9(4). 137–144. 3 indexed citations
11.
Lee, Sang-Woon, et al.. (2020). Effect of RF Power on the Properties of Sputtered-CuS Thin Films for Photovoltaic Applications. Energies. 13(3). 688–688. 28 indexed citations
12.
Son, Chang‐Sik, et al.. (2018). Particulate Matter (PM2.5) State Inference by Rule Induction. 13(4). 179–185. 1 indexed citations
13.
Kim, Min Soo, et al.. (2012). Analysis of Multifrequency Impedance of Biologic Active Points Using a Dry Electrode System. The Journal of Alternative and Complementary Medicine. 18(9). 864–869. 3 indexed citations
14.
Son, Chang‐Sik, Yoon-Nyun Kim, Hyungseop Kim, Hyoung‐Seob Park, & Minsoo Kim. (2012). Decision-making model for early diagnosis of congestive heart failure using rough set and decision tree approaches. Journal of Biomedical Informatics. 45(5). 999–1008. 78 indexed citations
15.
Son, Chang‐Sik, et al.. (2012). A hybrid decision support model to discover informative knowledge in diagnosing acute appendicitis. BMC Medical Informatics and Decision Making. 12(1). 17–17. 17 indexed citations
16.
Lee, Jeong Yong, Jae‐Young Leem, Hyukhyun Ryu, et al.. (2009). Effects of thermal annealing temperature and duration on hydrothermally grown ZnO nanorod arrays. Applied Surface Science. 255(11). 5861–5865. 41 indexed citations
17.
Son, Chang‐Sik, et al.. (2007). Multi-Component ZnO-In<sub>2</sub>O<sub>3</sub>-SnO<sub>2</sub>Thin Films Deposited by RF Magnetron Co-Sputtering. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 124-126. 119–122. 1 indexed citations
18.
Choi, In-Hoon, et al.. (2004). Fabrication of a Surface Micromachined Uncooled Microbolometer Based on the V2O5/V/V2O5 Sandwich Structure. Journal of the Korean Physical Society. 45(6). 1655–1658. 3 indexed citations
19.
Kim, Seong‐Il, et al.. (2003). Growth and Characterization of Triangular Shaped AlGaAs/GaAs and InGaAs/GaAs Quantum Wire Structures. Journal of the Korean Physical Society. 43(2). 282–285. 3 indexed citations
20.
Son, Chang‐Sik, Seong-Il Kim, Yong Soo Kim, et al.. (1997). Dependence of carbon incorporation on crystallographic orientation of GaAs and AlGaAs grown by metalorganic chemical vapor deposition using CBr4. Journal of Applied Physics. 82(3). 1205–1207. 9 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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