World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5545
World Ranking
12551
National Ranking
164

Overview

Hyongsuk Kim is affiliated with Jeonbuk National University in South Korea and has contributed extensively to the fields of Agricultural and Biological Sciences as well as Computer Science. Their research spans 56 publications in Agricultural and Biological Sciences and 34 in Computer Science, focusing on interdisciplinary applications at the intersection of agriculture and technology.

The scientist's work mainly covers subfields such as Plant Science, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, and Electrical and Electronic Engineering. Within these areas, the primary topics addressed include Smart Agriculture and AI, Plant Disease Management Techniques, Advanced Memory and Neural Computing, Food Supply Chain Traceability, Plant Virus Research Studies, AI in cancer detection, and Advanced Neural Network Applications.

Frequent venues where Kim's research has appeared include Frontiers in Plant Science with 8 publications, Computers and Electronics in Agriculture with 6, IEEE Access with 4, arXiv (Cornell University) with 4, and Electronics with 3 publications. These venues reflect a combination of applied agricultural science and computational methods, highlighting a cross-disciplinary approach.

Notable recent papers by Hyongsuk Kim include:

  • CED-Net: Crops and Weeds Segmentation for Smart Farming Using a Small Cascaded Encoder-Decoder Architecture, 2020, Electronics
  • Deep Neural Network-Based System for Autonomous Navigation in Paddy Field, 2020, IEEE Access
  • TSFD-Net: Tissue specific feature distillation network for nuclei segmentation and classification, 2022, Neural Networks
  • Microtubules as Sub-Cellular Memristors, 2020, Scientific Reports
  • Multi-Scale Context Aggregation for Strawberry Fruit Recognition and Disease Phenotyping, 2021, IEEE Access

Collaborations have been a significant component of Kim's research output, with frequent co-authors including Talha Ilyas, Dewa Made Sri Arsa, Dong Sun Park, Sook Yoon, and Zubaer Ibna Mannan. These partnerships further emphasize the multidisciplinary nature of their work and contributions to advancing smart agriculture technologies and computational methods in biological sciences.

Best Publications

  • Memristor Emulator for Memristor Circuit Applications

    Hyongsuk Kim;M. Pd Sah;Changju Yang;Seongik Cho

  • Memristor Bridge Synapse-Based Neural Network and Its Learning

    S. P. Adhikari;Changju Yang;Hyongsuk Kim;L. O. Chua

  • Neural Synaptic Weighting With a Pulse-Based Memristor Circuit

    Hyongsuk Kim;Maheshwar Sah;Changju Yang;Tamás Roska

  • Memristor Bridge Synapses

    Hyongsuk Kim;M. P. Sah;Changju Yang;T. Roska

  • A Circuit-Based Learning Architecture for Multilayer Neural Networks With Memristor Bridge Synapses

    Shyam Prasad Adhikari;Hyongsuk Kim;Ram Kaji Budhathoki;Changju Yang

  • Osteoporosis detection in panoramic radiographs using a deep convolutional neural network-based computer-assisted diagnosis system: a preliminary study

    Jae-Seo Lee;Shyam Adhikari;Liu Liu;Ho-Gul Jeong

  • Memristor-based multilevel memory

    Hyongsuk Kim;M.P. Sah;Changju Yang;L.O. Chua

  • Guided Soft Attention Network for Classification of Breast Cancer Histopathology Images

    Heechan Yang;Ji-Ye Kim;Hyongsuk Kim;Shyam P. Adhikari

  • CMAC-based adaptive critic self-learning control

    C.-S. Lin;H. Kim

  • Seam-line determination for image mosaicking: A technique minimizing the maximum local mismatch and the global cost

    Jaechoon Chon;Hyongsuk Kim;Chun-Shin Lin

  • A Voltage Mode Memristor Bridge Synaptic Circuit with Memristor Emulators

    Maheshwar Pd. Sah;Changju Yang;Hyongsuk Kim;Leon O. Chua

  • CED-Net: Crops and Weeds Segmentation for Smart Farming Using a Small Cascaded Encoder-Decoder Architecture

    Abbas Khan;Talha Ilyas;Muhammad Umraiz;Zubaer Ibna Mannan

  • Deep Neural Network-Based System for Autonomous Navigation in Paddy Field

    Shyam Prasad Adhikari;Gookhwan Kim;Hyongsuk Kim

  • A memristor emulator as a replacement of a real memristor

    Changju Yang;Hyuncheol Choi;Sedong Park;Maheshwar Pd Sah

  • Memristive Imitation of Synaptic Transmission and Plasticity

    Zubaer Ibna Mannan;Shyam Prasad Adhikari;Changju Yang;Ram Kaji Budhathoki

  • Method for advertising using mobile multiplayer game and system thereof

    Hyong-Suk Kim

  • Selection of learning parameters for CMAC-based adaptive critic learning

    C.-S. Lin;H. Kim

  • Learning Semantic Graphics Using Convolutional Encoder-Decoder Network for Autonomous Weeding in Paddy.

    Shyam Prasad Adhikari;Heechan Yang;Hyongsuk Kim

  • Charge Controlled Meminductor Emulator

    Maheshwar Pd. Sah;Ram Kaji Budhathoki;Changju Yang;Hyongsuk Kim

  • Packet Loss Rate Prediction Using the Sparse Basis Prediction Model

    A.F. Atiya;Sung Goo Yoo;Kil To Chong;Hyongsuk Kim

  • Multi-Scale Context Aggregation for Strawberry Fruit Recognition and Disease Phenotyping

    Talha Ilyas;Abbas Khan;Muhammad Umraiz;Yongchae Jeong

  • Deep learning-based multi-cattle tracking in crowded livestock farming using video

    Unknown

  • Morris-Lecar model of third-order barnacle muscle fiber is made of volatile memristors

    Vetriveeran Rajamani;Hyongsuk Kim;Leon O. Chua

Frequent Co-Authors

Leon O. Chua
Leon O. Chua University of California, Berkeley
Kil To Chong
Kil To Chong Jeonbuk National University
Amir F. Atiya
Amir F. Atiya Cairo University
Frank S. Werblin
Frank S. Werblin University of California, Berkeley
Fabian Rotermund
Fabian Rotermund Korea Advanced Institute of Science and Technology
Hyunjung Kim
Hyunjung Kim Hanyang University
Karthik Shankar
Karthik Shankar University of Alberta
Yue Ying Lau
Yue Ying Lau University of Michigan–Ann Arbor
Young Hoon Joo
Young Hoon Joo Kunsan National University
Kee-Young Yoo
Kee-Young Yoo Kyungpook National University

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