Myonglae Chu

829 total citations
14 papers, 639 citations indexed

About

Myonglae Chu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Myonglae Chu has authored 14 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Cognitive Neuroscience. Recurrent topics in Myonglae Chu's work include Advanced Memory and Neural Computing (10 papers), CCD and CMOS Imaging Sensors (8 papers) and Neuroscience and Neural Engineering (5 papers). Myonglae Chu is often cited by papers focused on Advanced Memory and Neural Computing (10 papers), CCD and CMOS Imaging Sensors (8 papers) and Neuroscience and Neural Engineering (5 papers). Myonglae Chu collaborates with scholars based in South Korea, Israel and United States. Myonglae Chu's co-authors include Byung‐Geun Lee, Hyunsang Hwang, Moongu Jeon, Byoung Hun Lee, Sangsu Park, Byoung‐Ho Kim, Jong‐In Kim, Jinwoo Noh, Boreom Lee and Kibong Moon and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and IEEE Transactions on Electron Devices.

In The Last Decade

Myonglae Chu

13 papers receiving 626 citations

Peers

Countries citing papers authored by Myonglae Chu

Since Specialization

Citations

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

Fields of papers citing papers by Myonglae Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Myonglae Chu

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Design and analysis on low-power and low-noise single slope ADC for digital pixel sensors 2022 ·Electronic Imaging ·(unknown), Myonglae Chu, Min-Woong Seo, (unknown), (unknown), Sanggwon Lee, (unknown), Minkyung Kim, (unknown), (unknown), (unknown), (unknown), Jonghyun Go, (unknown), Chang-Rok Moon, Hyoung-Sub Kim	0
2	A Compressive Sensing CMOS Image Sensor With Partition Sampling Technique 2020 ·IEEE Transactions on Industrial Electronics ·(unknown), (unknown), Jinho Kim, Myonglae Chu, Byung‐Geun Lee	8
3	Stuck-at-Fault Tolerant Schemes for Memristor Crossbar Array-Based Neural Networks 2019 ·IEEE Transactions on Electron Devices ·(unknown), Myonglae Chu, (unknown), Hyunsang Hwang, Byung‐Geun Lee	39
4	A Power and Area Efficient CMOS Stochastic Neuron for Neural Networks Employing Resistive Crossbar Array 2019 ·IEEE Transactions on Biomedical Circuits and Systems ·(unknown), Myonglae Chu, Byung‐Geun Lee	9
5	Modeling and System-Level Simulation for Nonideal Conductance Response of Synaptic Devices 2018 ·IEEE Transactions on Electron Devices ·(unknown), (unknown), Myonglae Chu, Kibong Moon, Hyunsang Hwang, Byung‐Geun Lee	5
6	Stochastic implementation of the activation function for artificial neural networks 2016 ·(unknown), (unknown), Byung‐Geun Lee, Myonglae Chu	13
7	Analog Synapse Device With 5-b MLC and Improved Data Retention for Neuromorphic System 2016 ·IEEE Electron Device Letters ·Kibong Moon, Euijun Cha, Jaesung Park, (unknown), Myonglae Chu, Kyungjoon Baek, Byung‐Geun Lee, Sang Ho Oh, Hyunsang Hwang	44
8	Electronic system with memristive synapses for pattern recognition 2015 ·Scientific Reports ·Sangsu Park, Myonglae Chu, Jong‐In Kim, Jinwoo Noh, Moongu Jeon, Byoung Hun Lee, Hyunsang Hwang, Boreom Lee, (unknown)	154
9	Fundamental issues of implementing hardware neural networks using memristor 2015 ·(unknown), (unknown), Myonglae Chu, Seung-Hun Kim, Byung‐Geun Lee	8
10	Oxide based nanoscale analog synapse device for neural signal recognition system 2015 ·Daeseok Lee, Jaesung Park, Kibong Moon, Junwoo Jang, (unknown), Myonglae Chu, Jong‐In Kim, Jinwoo Noh, Moongu Jeon, Byoung Hun Lee, Boreom Lee, Byung‐Geun Lee, Hyunsang Hwang	40
11	High density neuromorphic system with Mo/Pr0.7Ca0.3MnO3 synapse and NbO2 IMT oscillator neuron 2015 ·Kibong Moon, Euijun Cha, Jaesung Park, (unknown), Myonglae Chu, Kyungjoon Baek, Byung‐Geun Lee, Sang‐Ho Oh, Hyunsang Hwang	40
12	Neuromorphic Hardware System for Visual Pattern Recognition With Memristor Array and CMOS Neuron 2014 ·IEEE Transactions on Industrial Electronics ·Myonglae Chu, Byoung‐Ho Kim, Sangsu Park, Hyunsang Hwang, Moongu Jeon, Byoung Hun Lee, Byung‐Geun Lee	249
13	Digital foreground calibration of capacitor mismatch for SAR ADCs 2014 ·Electronics Letters ·(unknown), Byoung‐Ho Kim, Myonglae Chu, (unknown)	13
14	A 10-bit 200-MS/s Zero-Crossing-Based Pipeline ADC in 0.13-$\mu $ m CMOS Technology 2014 ·IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·Myonglae Chu, Byoung‐Ho Kim, Byung‐Geun Lee	17

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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