Jangsaeng Kim

519 total citations
44 papers, 328 citations indexed

About

Jangsaeng Kim is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jangsaeng Kim has authored 44 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Electrical and Electronic Engineering, 8 papers in Artificial Intelligence and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jangsaeng Kim's work include Advanced Memory and Neural Computing (35 papers), Ferroelectric and Negative Capacitance Devices (28 papers) and Semiconductor materials and devices (16 papers). Jangsaeng Kim is often cited by papers focused on Advanced Memory and Neural Computing (35 papers), Ferroelectric and Negative Capacitance Devices (28 papers) and Semiconductor materials and devices (16 papers). Jangsaeng Kim collaborates with scholars based in South Korea, United States and Puerto Rico. Jangsaeng Kim's co-authors include Jong‐Ho Lee, Dongseok Kwon, Soochang Lee, Jong‐Ho Bae, Chul-Heung Kim, Sung‐Tae Lee, Won-Mook Kang, Byung‐Gook Park, Wonjun Shin and Sung Yun Woo and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Small.

In The Last Decade

Jangsaeng Kim

41 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jangsaeng Kim South Korea 10 304 82 76 50 29 44 328
Piergiulio Mannocci Italy 11 316 1.0× 131 1.6× 60 0.8× 35 0.7× 31 1.1× 26 351
Loai Danial Israel 8 267 0.9× 84 1.0× 97 1.3× 29 0.6× 24 0.8× 17 317
Yann Beilliard Canada 9 325 1.1× 60 0.7× 88 1.2× 34 0.7× 32 1.1× 28 352
Benedikt Kersting Switzerland 11 242 0.8× 83 1.0× 53 0.7× 32 0.6× 95 3.3× 20 263
Woyu Zhang China 10 243 0.8× 124 1.5× 59 0.8× 63 1.3× 16 0.6× 28 265
S. Bianchi Italy 11 353 1.2× 106 1.3× 137 1.8× 122 2.4× 21 0.7× 21 396
See‐On Park South Korea 6 384 1.3× 100 1.2× 161 2.1× 76 1.5× 40 1.4× 11 398
Hakcheon Jeong South Korea 7 374 1.2× 94 1.1× 138 1.8× 70 1.4× 38 1.3× 14 392
Sung Yun Woo South Korea 13 425 1.4× 129 1.6× 140 1.8× 97 1.9× 16 0.6× 43 440

Countries citing papers authored by Jangsaeng Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jangsaeng Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jangsaeng Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jangsaeng Kim. A scholar is included among the top collaborators of Jangsaeng 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 Jangsaeng Kim. Jangsaeng 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, Eun Chan, Jangsaeng Kim, Jonghyun Ko, et al.. (2025). Hafnia-based ferroelectric computer vision system with artificial synaptic array. Nano Energy. 139. 110877–110877. 2 indexed citations
2.
Song, Min, Ryun‐Han Koo, Jangsaeng Kim, et al.. (2025). Ferroelectric NAND for efficient hardware bayesian neural networks. Nature Communications. 16(1). 6879–6879. 1 indexed citations
3.
Ko, Jonghyun, Jangsaeng Kim, Wonjun Shin, et al.. (2025). CMOS-compatible flash-gated thyristor–based neuromorphic module with small area and low energy consumption for in-memory computing. Science Advances. 11(29). eadt8227–eadt8227. 1 indexed citations
4.
Kim, Jangsaeng, Wonjun Shin, Soochang Lee, et al.. (2024). Demonstration of In‐Memory Biosignal Analysis: Novel High‐Density and Low‐Power 3D Flash Memory Array for Arrhythmia Detection. Advanced Science. 11(26). e2308460–e2308460. 15 indexed citations
5.
Kim, Jangsaeng, Eun Chan Park, Wonjun Shin, et al.. (2024). All‐Ferroelectric Spiking Neural Networks via Morphotropic Phase Boundary Neurons. Advanced Science. 11(44). e2407870–e2407870. 2 indexed citations
6.
Kim, Jangsaeng, et al.. (2024). Performance Optimization in 3D Flash Memory Cell Stack via Process Variable Engineering. IEEE Electron Device Letters. 45(12). 2395–2398. 1 indexed citations
7.
Kim, Jangsaeng, Minkyu Park, Ryun‐Han Koo, et al.. (2024). Vertical AND-Type Flash TFT Array Capable of Accurate Vector-Matrix Multiplication Operations for Hardware Neural Networks. IEEE Electron Device Letters. 45(7). 1385–1388. 2 indexed citations
8.
Kim, Jangsaeng, et al.. (2024). Effects of Charge Imbalance on Field‐Induced Instability of HfO2‐Based Ferroelectric Tunnel Junctions. Advanced Electronic Materials. 11(2). 3 indexed citations
9.
Kim, Jangsaeng, et al.. (2024). Vertical AND-Type Flash Synaptic Cell Stack for High-Density and Reliable Binary Neural Networks. IEEE Electron Device Letters. 45(7). 1369–1372. 4 indexed citations
10.
Kim, Jangsaeng, et al.. (2024). Thermal Instability Compensation of Synaptic 3D Flash Memory-Based Hardware Neural Networks With Adaptive Read Bias. IEEE Electron Device Letters. 45(11). 2233–2236. 3 indexed citations
11.
Kim, Jangsaeng, Eun Chan Park, Ryun‐Han Koo, et al.. (2024). Analog reservoir computing via ferroelectric mixed phase boundary transistors. Nature Communications. 15(1). 9147–9147. 23 indexed citations
12.
Kim, Jangsaeng, et al.. (2024). Low-Frequency Noise Characteristics of Recessed Channel Ferroelectric Field-Effect Transistors. IEEE Electron Device Letters. 45(11). 2118–2121. 7 indexed citations
13.
Kim, Sangwoo, Ryun‐Han Koo, Jangsaeng Kim, et al.. (2024). A New Back‐End‐Of‐Line Ferroelectric Field‐Effect Transistor Platform via Laser Processing. Small. 21(15). e2406376–e2406376. 5 indexed citations
14.
Shin, Wonjun, Ji Ye Lee, Ryun‐Han Koo, et al.. (2023). Unveiled Influence of Sub‐gap Density of States on Low‐Frequency Noise in Si‐Doped ZnSnO TFTs: Does Correlated Mobility Fluctuation Model Suffice?. Advanced Electronic Materials. 10(2). 14 indexed citations
15.
Kwon, Dongseok, et al.. (2022). On-Chip Trainable Spiking Neural Networks Using Time-To-First-Spike Encoding. IEEE Access. 10. 31263–31272. 2 indexed citations
16.
Kwon, Dongseok, et al.. (2021). Direct Gradient Calculation: Simple and Variation‐Tolerant On‐Chip Training Method for Neural Networks. SHILAP Revista de lepidopterología. 3(8). 5 indexed citations
17.
Kang, Won-Mook, Dongseok Kwon, Sung Yun Woo, et al.. (2021). Hardware-Based Spiking Neural Network Using a TFT-Type AND Flash Memory Array Architecture Based on Direct Feedback Alignment. IEEE Access. 9. 73121–73132. 11 indexed citations
18.
Kwon, Dongseok, et al.. (2021). Direct Gradient Calculation: Simple and Variation‐Tolerant On‐Chip Training Method for Neural Networks. Advanced Intelligent Systems. 3(8). 1 indexed citations
19.
Kim, Chul-Heung, et al.. (2019). Unsupervised online learning of temporal information in spiking neural network using thin-film transistor-type NOR flash memory devices. Nanotechnology. 30(43). 435206–435206. 10 indexed citations
20.
Kim, Chul-Heung, Suhwan Lim, Sung Yun Woo, et al.. (2018). Emerging memory technologies for neuromorphic computing. Nanotechnology. 30(3). 32001–32001. 70 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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