Naehyuck Chang

5.7k total citations
236 papers, 4.4k citations indexed

About

Naehyuck Chang is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Hardware and Architecture. According to data from OpenAlex, Naehyuck Chang has authored 236 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Electrical and Electronic Engineering, 94 papers in Automotive Engineering and 91 papers in Hardware and Architecture. Recurrent topics in Naehyuck Chang's work include Advanced Battery Technologies Research (89 papers), Parallel Computing and Optimization Techniques (61 papers) and Embedded Systems Design Techniques (44 papers). Naehyuck Chang is often cited by papers focused on Advanced Battery Technologies Research (89 papers), Parallel Computing and Optimization Techniques (61 papers) and Embedded Systems Design Techniques (44 papers). Naehyuck Chang collaborates with scholars based in South Korea, United States and Italy. Naehyuck Chang's co-authors include Massoud Pedram, Younghyun Kim, Hyung Gyu Lee, Donghwa Shin, Yanzhi Wang, Hojun Shim, In-Seok Choi, Qing Xie, Xue Lin and Yanzhi Wang and has published in prestigious journals such as Journal of Power Sources, Applied Energy and IEEE Transactions on Power Electronics.

In The Last Decade

Naehyuck Chang

232 papers receiving 4.3k citations

Peers

Naehyuck Chang
Chi-Ying Tsui Hong Kong
Vijay Raghunathan United States
Bashir M. Al‐Hashimi United Kingdom
Qinru Qiu United States
Yanzhi Wang United States
Sudeep Pasricha United States
Chi-Ying Tsui Hong Kong
Naehyuck Chang
Citations per year, relative to Naehyuck Chang Naehyuck Chang (= 1×) peers Chi-Ying Tsui

Countries citing papers authored by Naehyuck Chang

Since Specialization
Citations

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

Fields of papers citing papers by Naehyuck Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naehyuck Chang

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

All Works

20 of 20 papers shown
1.
Kim, Jaemin, et al.. (2022). Congestion-Aware Multi-Drone Delivery Routing Framework. IEEE Transactions on Vehicular Technology. 71(9). 9384–9396. 15 indexed citations
2.
Baek, Donkyu, et al.. (2021). Energy-Efficient Online Path Planning of Multiple Drones Using Reinforcement Learning. IEEE Transactions on Vehicular Technology. 70(10). 9725–9740. 61 indexed citations
3.
Park, Jaehyun, et al.. (2020). Comparison of Cooling Methods for a Thermoelectric Generator with Forced Convection. Energies. 13(12). 3185–3185. 17 indexed citations
4.
Baek, Donkyu, Yukai Chen, Naehyuck Chang, Enrico Macii, & Massimo Poncino. (2020). Optimal Battery Sizing for Electric Truck Delivery. Energies. 13(3). 709–709. 23 indexed citations
5.
Baek, Donkyu, Yukai Chen, Naehyuck Chang, Enrico Macii, & Massimo Poncino. (2020). Battery-Aware Electric Truck Delivery Route Exploration. Energies. 13(8). 2096–2096. 11 indexed citations
6.
Baek, Donkyu, et al.. (2020). Least-Energy Path Planning With Building Accurate Power Consumption Model of Rotary Unmanned Aerial Vehicle. IEEE Transactions on Vehicular Technology. 69(12). 14803–14817. 29 indexed citations
7.
Baek, Donkyu, Yukai Chen, Naehyuck Chang, Enrico Macii, & Massimo Poncino. (2020). Energy-Efficient Coordinated Electric Truck-Drone Hybrid Delivery Service Planning. 1–6. 14 indexed citations
8.
Baek, Donkyu, Yukai Chen, Alberto Bocca, et al.. (2019). Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles. IEEE Transactions on Vehicular Technology. 68(6). 5471–5482. 61 indexed citations
9.
Baek, Donkyu & Naehyuck Chang. (2018). Runtime Power Management of Battery Electric Vehicles for Extended Range With Consideration of Driving Time. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 27(3). 549–559. 22 indexed citations
10.
Kim, Jaemin, Donkyu Baek, Caiwen Ding, et al.. (2018). Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting Under Location-Dependent Temperature Variations. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 26(7). 1241–1253. 12 indexed citations
11.
Lin, Xue, Paul Bogdan, Naehyuck Chang, & Massoud Pedram. (2015). Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost. International Conference on Computer Aided Design. 627–634. 14 indexed citations
12.
Wang, Yanzhi, Xue Lin, Massoud Pedram, Jaemin Kim, & Naehyuck Chang. (2013). Capital cost-aware design and partial shading-aware architecture optimization of a reconfigurable photovoltaic system. Design, Automation, and Test in Europe. 909–912. 5 indexed citations
13.
Wang, Yanzhi, Xue Lin, Massoud Pedram, Sangyoung Park, & Naehyuck Chang. (2013). Optimal control of a grid-connected hybrid electrical energy storage system for homes. Design, Automation, and Test in Europe. 881–886. 25 indexed citations
14.
Chang, Naehyuck, Hiroshi Nakamura, Koji Inoue, Kenichi Osada, & Massimo Poncino. (2011). Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design. 7 indexed citations
15.
Lee, Hyung Gyu, Naehyuck Chang, Ümit Y. Ogras, & Radu Mărculescu. (2007). On-chip communication architecture exploration. ACM Transactions on Design Automation of Electronic Systems. 12(3). 1–20. 155 indexed citations
16.
Cho, Youngjin, et al.. (2005). Flip-flop insertion with shifted-phase clocks for FPGA power reduction. International Conference on Computer Aided Design. 335–342. 9 indexed citations
17.
Chang, Naehyuck, In-Seok Choi, & Hojun Shim. (2004). DLS: dynamic backlight luminance scaling of liquid crystal display. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 12(8). 837–846. 143 indexed citations
18.
Ermedahl, Andreas, et al.. (2002). Statistical Derivation of an Accurate Energy Consumption Model for Embedded Processors. KTH Publication Database DiVA (KTH Royal Institute of Technology). 124. 1069–74. 4 indexed citations
19.
Shin, Dongkun, Jihong Kim, & Naehyuck Chang. (2001). An operation rearrangement technique for power optimization in VLIM instruction fetch. Design, Automation, and Test in Europe. 809. 7 indexed citations
20.
Kim, Tae‐Woong, Heonshik Shin, & Naehyuck Chang. (2000). A Jitter Analysis for Improved Schedulability of Distributed Real-Time Tasks. 27(5). 506–517. 1 indexed citations

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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