S. Choi

901 total citations
10 papers, 43 citations indexed

About

S. Choi is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, S. Choi has authored 10 papers receiving a total of 43 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 2 papers in Artificial Intelligence and 2 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in S. Choi's work include Ferroelectric and Negative Capacitance Devices (3 papers), Semiconductor materials and devices (3 papers) and Copper Interconnects and Reliability (2 papers). S. Choi is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (3 papers), Semiconductor materials and devices (3 papers) and Copper Interconnects and Reliability (2 papers). S. Choi collaborates with scholars based in United States, Switzerland and South Korea. S. Choi's co-authors include Kevin Brew, Julian Büchel, Abu Sebastian, Benedikt Kersting, Timothy M. Philip, Manuel Le Gallo, Nicole Saulnier, Vijay Narayanan, Giovanni Cherubini and Oleg Gluschenkov and has published in prestigious journals such as IEEE Transactions on Electron Devices, Alexandria Engineering Journal and ECS Journal of Solid State Science and Technology.

In The Last Decade

S. Choi

8 papers receiving 43 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Choi United States 4 38 19 6 6 3 10 43
Ishtiaq Ahsan United States 4 34 0.9× 8 0.4× 3 0.5× 1 0.2× 1 0.3× 14 37
S. Ricciardi United Kingdom 5 37 1.0× 4 0.2× 5 0.8× 15 2.5× 8 67
C. W. Chang Taiwan 5 56 1.5× 4 0.2× 2 0.3× 6 1.0× 6 64
Amitha Mathew India 4 35 0.9× 5 0.3× 4 0.7× 17 2.8× 10 63
Adam Makosiej France 7 115 3.0× 5 0.3× 11 1.8× 3 0.5× 2 0.7× 24 121
C. E. Montanari Switzerland 4 9 0.2× 5 0.3× 10 1.7× 5 0.8× 9 29
Pawel Borowiec Poland 3 14 0.4× 4 0.2× 11 1.8× 4 0.7× 9 28
B. Campbell United States 4 22 0.6× 6 0.3× 3 0.5× 6 33
Chun-Chen Yeh United States 5 109 2.9× 10 0.5× 27 4.5× 6 1.0× 1 0.3× 16 119

Countries citing papers authored by S. Choi

Since Specialization
Citations

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

Fields of papers citing papers by S. Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Choi

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

All Works

10 of 10 papers shown
1.
Choi, Hyungwon, et al.. (2025). Balancing accuracy and efficiency: comparative analysis of deep learning models for defect classification in water transfer printing. Journal of Mechanical Science and Technology. 39(12). 7201–7210.
3.
Choi, S., et al.. (2024). Developing a Grover's quantum algorithm emulator on standalone FPGAs: optimization and implementation. AIMS Mathematics. 9(11). 30939–30971. 1 indexed citations
4.
Büchel, Julian, Benedikt Kersting, Corey Lammie, et al.. (2023). Exploiting the State Dependency of Conductance Variations in Memristive Devices for Accurate In-Memory Computing. IEEE Transactions on Electron Devices. 70(12). 6279–6285. 10 indexed citations
5.
Büchel, Julian, Athanasios Vasilopoulos, Benedikt Kersting, et al.. (2022). Gradient descent-based programming of analog in-memory computing cores. 2022 International Electron Devices Meeting (IEDM). 33.1.1–33.1.4. 10 indexed citations
6.
Karunaratne, Geethan, Michael Hersche, Giovanni Cherubini, et al.. (2022). In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 105–108. 11 indexed citations
7.
Pancharatnam, S., Wei‐Tsu Tseng, S. Choi, & Richard Johnson. (2020). Process Co-Optimization of CVD and CMP for Tungsten Metallization. ECS Journal of Solid State Science and Technology. 9(10). 104004–104004. 1 indexed citations
8.
Gluschenkov, Oleg, Heng Wu, Kevin Brew, et al.. (2018). External Resistance Reduction by Nanosecond Laser Anneal in Si/SiGe CMOS Technology. 35.3.1–35.3.4. 8 indexed citations
9.
Nag, Joyeeta, Brian S. Cohen, S. Choi, et al.. (2015). ALD TaN Barrier for Enhanced Performance with Low Contact Resistance for 14nm Technology Node Cu Interconnects. ECS Transactions. 69(7). 161–169. 1 indexed citations
10.
Tilleman, Michael M., et al.. (1997). <title>High-speed photographic system for objects with highly radiant backgrounds</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3018. 50–57. 1 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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