The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Jiyong Woo sits on this spectrum.
This scientist: 115 publications — 6th percentile
6% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Jiyong Woo sits on this spectrum.
This scientist: 33 D-Index — 14th percentile
14% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Jiyong Woo is affiliated with Kyungpook National University in South Korea and works primarily in the field of Engineering, with a focus on Electrical and Electronic Engineering. Their research spans several interrelated subfields, including Cellular and Molecular Neuroscience, Artificial Intelligence, and Computational Theory and Mathematics.
The main topics of Jiyong Woo's work revolve around advanced memory technologies and neural computing, the study of ferroelectric and negative capacitance devices, neuroscience and neural engineering, neural networks and their applications, quantum-dot cellular automata, and machine learning methods such as Extreme Learning Machines.
Jiyong Woo has authored research published in a number of scientific venues, including Advanced Intelligent Systems, Scientific Reports, Science Advances, and ECS Meeting Abstracts. These venues reflect a diverse engagement with interdisciplinary studies in neuromorphic devices and neuroengineering.
Their recent significant publications include:
Frequent collaborators identified in Jiyong Woo's publications include Jong-Pil Im, Seung Eon Moon, Jeong Hun Kim, and Kyungmi Noh. These coauthors have contributed to multiple pieces of research, indicating a collaborative approach within the neuromorphic systems research community.
The research focus of Jiyong Woo is primarily on advanced memory and neural computing, with an emphasis on the development and application of neuromorphic technologies, addressing challenges such as defect tolerance in resistive RAM arrays and analog deep learning accelerator performance.
Jiyong Woo;Kibong Moon;Jeonghwan Song;Sangheon Lee
Seungyeol Oh;Taeho Kim;Myunghoon Kwak;Jeonghwan Song
Jaesung Park;Myunghoon Kwak;Kibong Moon;Jiyong Woo
K. Moon;S. Lim;J. Park;C. Sung
S. Park;H. Kim;M. Choo;J. Noh
Jeonghwan Song;Jiyong Woo;Amit Prakash;Daeseok Lee
Wootae Lee;Jubong Park;Seonghyun Kim;Jiyong Woo
Amit Prakash;Jaesung Park;Jeonghwan Song;Jiyong Woo
Jiyong Woo;Shimeng Yu
Euijun Cha;Jaehyuk Park;Jiyong Woo;Daeseok Lee
Seonghyun Kim;Xinjun Liu;Jubong Park;Seungjae Jung
Jiyong Woo;Andrea Padovani;Kibong Moon;Myounghun Kwak
Jiyong Woo;Kibong Moon;Jeonghwan Song;Myounghoon Kwak
Euijun Cha;Jiyong Woo;Daeseok Lee;Sangheon Lee
Seonghyun Kim;Jubong Park;Jiyong Woo;Chunhum Cho
Kibong Moon;Sangsu Park;Junwoo Jang;Daeseok Lee
Jongmyung Yoo;Jiyong Woo;Jeonghwan Song;Hyunsang Hwang
Jeonghwan Song;Jiyong Woo;Sangheon Lee;Amit Prakash
Andrea Padovani;Jiyong Woo;Hyunsang Hwang;Luca Larcher
Saiful Haque Misha;Nusrat Tamanna;Jiyong Woo;Sangheon Lee
Jiyong Woo;Jiyong Woo;Dongwook Lee;Yunmo Koo;Hyunsang Hwang
Jeonghwan Song;Amit Prakash;Daeseok Lee;Jiyong Woo
Wootae Lee;Jubong Park;Jungho Shin;Jiyong Woo
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