Won-Mook Kang - Concepedia

Author

Won-Mook Kang

Seoul National University ORCID

Also Known As

Kang, Won-Mook, Seongbin Oh, Won-Mook Kang

Publications

505

Citations

H-Index

Concepts

All Affiliations

Seoul National University University of California, Berkeley

About

Won-Mook Kang is an author at Seoul National University specializing in engineering, neuromorphic engineering, and social sciences.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	12	374
2	Social Sciences	8	8	258
3	Applied Physics	4	4	116
4	Biomedical Engineering	1	1	21
5	Cognitive Science	1	1	22

Won-Mook Kang

Publications

469

Citations

H-Index

Page 1

	Year	Citations
Emerging memory technologies for neuromorphic computing Chul-Heung Kim, Suhwan Lim, Sung Yun Woo, Nanotechnology NeurochipMemory TechnologiesEngineeringRecent TrendsComputational Neuroscience	2018	80
Demonstration of Unsupervised Learning With Spike-Timing-Dependent Plasticity Using a TFT-Type NOR Flash Memory Array Chul-Heung Kim, Soochang Lee, Sung Yun Woo, IEEE Transactions on Electron Devices Motor LearningThin-film TransistorEngineeringNeural Networks (Machine Learning)Neural Recoding	2018	62
Multi-layer WSe 2 field effect transistor with improved carrier-injection contact by using oxygen plasma treatment Won-Mook Kang, Sung‐Tae Lee, In-Tak Cho, Solid-State Electronics Electrical EngineeringEngineeringOxygen Plasma TreatmentMulti-layer Wse 2Nanoelectronics	2017	46
Gas-Sensing Characteristics of Exfoliated WSe<sub>2</sub> Field-Effect Transistors Yoonki Hong, Won-Mook Kang, In-Tak Cho, Journal of Nanoscience and Nanotechnology Semiconductor TechnologyElectrical EngineeringGas-sensing CharacteristicsEngineeringGas Sensor	2017	44
A Split-Gate Positive Feedback Device With an Integrate-and-Fire Capability for a High-Density Low-Power Neuron Circuit Kyu-Bong Choi, Sung Yun Woo, Won-Mook Kang, Frontiers in Neuroscience	2018	40
Neuron Circuits for Low-Power Spiking Neural Networks Using Time-To-First-Spike Encoding Seongbin Oh, Dongseok Kwon, Gyuho Yeom, IEEE Access	2022	28
Hardware-based spiking neural network architecture using simplified backpropagation algorithm and homeostasis functionality Jangsaeng Kim, Dongseok Kwon, Sung Yun Woo, Neurocomputing EngineeringNeurophysiologyComputational NeuroscienceComputer EngineeringHomeostasis Functionality	2020	27
A Spiking Neural Network with a Global Self-Controller for Unsupervised Learning Based on Spike-Timing-Dependent Plasticity Using Flash Memory Synaptic Devices Won-Mook Kang, Chul-Heung Kim, Soochang Lee, EngineeringNeurochipSocial SciencesGlobal Self-controllerVon Neumann Processor	2019	22
Implementation of homeostasis functionality in neuron circuit using double-gate device for spiking neural network Sung Yun Woo, Kyu-Bong Choi, Jangsaeng Kim, Solid-State Electronics EngineeringNeurophysiologyComputational NeuroscienceNeural NetworkComputer Engineering	2019	22
Low-Power and High-Density Neuron Device for Simultaneous Processing of Excitatory and Inhibitory Signals in Neuromorphic Systems Sung Yun Woo, Dongseok Kwon, Nagyong Choi, IEEE Access EngineeringCircuit NeuroscienceSynaptic TransmissionNeuromodulation TherapiesNeural Systems	2020	21

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