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 Naehyuck Chang sits on this spectrum.
This scientist: 276 publications — 52nd percentile
52% 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 Naehyuck Chang sits on this spectrum.
This scientist: 43 D-Index — 45th percentile
45% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Naehyuck Chang is affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research contributions primarily lie in the fields of Engineering and Computer Science, with a significant emphasis on Automotive Engineering, Electrical and Electronic Engineering, and Computer Vision and Pattern Recognition.
The scientist's research spans several main topics, including Advanced Battery Technologies Research, Robotic Path Planning Algorithms, and Electric Vehicles and Infrastructure. Additional focus areas encompass UAV Applications and Optimization, Electric and Hybrid Vehicle Technologies, Green IT and Sustainability, and Reinforcement Learning in Robotics.
Recent notable publications include:
Frequent co-authors collaborating with Naehyuck Chang include Donkyu Baek, Jaemin Kim, Dooyoung Hong, Seonhoon Lee, and Young Hoo Cho.
The scientist's work appears predominantly in specialized publication venues such as Energies, IEEE Transactions on Vehicular Technology, and IEEE Design and Test. Specifically, Energies features four of their publications, while IEEE Transactions on Vehicular Technology contains three, and IEEE Design and Test includes one.
Naehyuck Chang has been recognized by the Association for Computing Machinery (ACM) with distinctions including ACM Fellow in 2015 for contributions to low-power computing systems, ACM Distinguished Member in 2012, and ACM Senior Member in 2007.
Hyung Gyu Lee;Naehyuck Chang;Umit Y. Ogras;Radu Marculescu
Naehyuck Chang;Inseok Choi;Hojun Shim
Inseok Choi;Hojun Shim;Naehyuck Chang
Yongsoo Joo;Dimin Niu;Xiangyu Dong;Guangyu Sun
Yongseok Choi;Naehyuck Chang;Taewhan Kim
Sangyoung Park;Jaehyun Park;Donghwa Shin;Yanzhi Wang
Massoud Pedram;Naehyuck Chang;Younghyun Kim;Yanzhi Wang
Naehyuck Chang;Kwanho Kim;Hyung Gyu Lee
Donghwa Shin;Younghyun Kim;Jaeam Seo;Naehyuck Chang
Sheayun Lee;Andreas Ermedahl;Sang Lyul Min;Naehyuck Chang
Donghwa Shin;Younghyun Kim;Naehyuck Chang;Massoud Pedram
Younghyun Kim;Naehyuck Chang;Yanzhi Wang;Massoud Pedram
Donghwa Shin;Younghyun Kim;Yanzhi Wang;Naehyuck Chang
Jaehyun Park;Donghwa Shin;Naehyuck Chang;Massoud Pedram
Yiqun Wang;Yongpan Liu;Cong Wang;Zewei Li
Donghwa Shin;Sung Woo Chung;Eui-Young Chung;Naehyuck Chang
H. Shim;N. Chang;M. Pedram
Samarjit Chakraborty;Martin Lukasiewycz;Christian Buckl;Suhaib Fahmy
Hyung Gyu Lee;Naehyuck Chang
Qing Xie;Yanzhi Wang;Younghyun Kim;M. Pedram
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