Hongseok Kim

4.7k total citations · 2 hit papers
108 papers, 3.5k citations indexed

About

Hongseok Kim is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Hongseok Kim has authored 108 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Electrical and Electronic Engineering, 38 papers in Computer Networks and Communications and 19 papers in Control and Systems Engineering. Recurrent topics in Hongseok Kim's work include Advanced MIMO Systems Optimization (20 papers), Smart Grid Energy Management (17 papers) and Energy Load and Power Forecasting (15 papers). Hongseok Kim is often cited by papers focused on Advanced MIMO Systems Optimization (20 papers), Smart Grid Energy Management (17 papers) and Energy Load and Power Forecasting (15 papers). Hongseok Kim collaborates with scholars based in South Korea, United States and Hong Kong. Hongseok Kim's co-authors include Seunghyoung Ryu, Yohwan Choi, Gustavo de Veciana, Jae-Koo Noh, Kyungnam Park, Yung Yi, Bhaskar Krishnamachari, Kyuho Son, Xiangying Yang and Muthaiah Venkatachalam and has published in prestigious journals such as Proceedings of the IEEE, Chemical Engineering Journal and Applied Energy.

In The Last Decade

Hongseok Kim

105 papers receiving 3.4k citations

Hit Papers

Base Station Operation and User Association Mechanisms fo... 2011 2026 2016 2021 2011 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hongseok Kim South Korea 28 2.6k 1.3k 611 476 327 108 3.5k
Rui Castro Portugal 35 2.1k 0.8× 564 0.4× 805 1.3× 235 0.5× 584 1.8× 170 3.8k
Arif I. Sarwat United States 33 3.0k 1.2× 1.1k 0.9× 1.8k 2.9× 670 1.4× 570 1.7× 228 4.7k
Jun Peng China 27 1.1k 0.4× 694 0.6× 648 1.1× 806 1.7× 284 0.9× 276 2.7k
Christian Wietfeld Germany 33 2.8k 1.1× 2.0k 1.6× 771 1.3× 242 0.5× 260 0.8× 367 4.3k
M. Hadi Amini United States 30 2.8k 1.1× 366 0.3× 1.1k 1.7× 1.0k 2.2× 707 2.2× 92 4.0k
Daniel Krajzewicz Germany 15 1.9k 0.7× 1.2k 0.9× 1.4k 2.4× 1.1k 2.3× 301 0.9× 86 3.6k
Laura Bieker Germany 7 1.3k 0.5× 816 0.6× 995 1.6× 721 1.5× 223 0.7× 15 2.4k
Javier Gozálvez Spain 32 3.9k 1.5× 2.4k 1.9× 1.0k 1.7× 970 2.0× 192 0.6× 227 5.0k
Hao Liang Canada 39 3.5k 1.4× 1.8k 1.4× 2.3k 3.7× 626 1.3× 574 1.8× 139 5.2k
Melike Erol‐Kantarci Canada 36 3.9k 1.5× 2.2k 1.8× 1.4k 2.3× 307 0.6× 439 1.3× 214 5.5k

Countries citing papers authored by Hongseok Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hongseok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongseok Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hongseok Kim. A scholar is included among the top collaborators of Hongseok Kim 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 Hongseok Kim. Hongseok Kim 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, Hongseok, et al.. (2024). ProADD: Proactive battery anomaly dual detection leveraging denoising convolutional autoencoder and incremental voltage analysis. Applied Energy. 373. 123757–123757. 5 indexed citations
2.
Kim, Hongseok, et al.. (2024). Graph-Based Large Scale Probabilistic PV Power Forecasting Insensitive to Space-Time Missing Data. IEEE Transactions on Sustainable Energy. 16(1). 160–173. 5 indexed citations
3.
Rana, S M Sohel, Omar Faruk, Md Selim Reza, et al.. (2024). All porous Ecoflex and SEBS-based stretchable high-performance triboelectric nanogenerator for self-powered human activity monitoring. Chemical Engineering Journal. 488. 151050–151050. 35 indexed citations
4.
Huy, Truong Hoang Bao, et al.. (2024). Fully Decentralized Peer-to-Peer Community Grid With Dynamic and Congestion Pricing. IEEE Internet of Things Journal. 11(14). 24483–24496. 4 indexed citations
5.
Faruk, Omar, M. Robiul Islam, S M Sohel Rana, et al.. (2024). V2CTX-MXene-functionalized fluoropolymer composite nanofibrous mat-based high-performance triboelectric nanogenerator for self-powered human activity and posture monitoring. Nano Energy. 127. 109787–109787. 28 indexed citations
6.
Kim, Hongseok, et al.. (2023). Stochastic optimization of home energy management system using clustered quantile scenario reduction. Applied Energy. 349. 121555–121555. 22 indexed citations
7.
Kim, Hongseok, et al.. (2023). Sector Coupling and Migration towards Carbon-Neutral Power Systems. Energies. 16(4). 1897–1897. 7 indexed citations
8.
Kim, Hongseok, et al.. (2023). Convolutional Autoencoder-Based Anomaly Detection for Photovoltaic Power Forecasting of Virtual Power Plants. Energies. 16(14). 5293–5293. 9 indexed citations
9.
Kim, Hongseok, et al.. (2022). A study on factors that affect error rates in handwriting examinations of Korean characters by forensic document examiners and non-experts. Forensic Science International. 334. 111266–111266. 2 indexed citations
10.
Lee, Sukhan, et al.. (2021). Learning-Based Automation of Robotic Assembly for Smart Manufacturing. Proceedings of the IEEE. 109(4). 423–440. 25 indexed citations
11.
Park, Kyungnam, et al.. (2020). Missing-Insensitive Short-Term Load Forecasting Leveraging Autoencoder and LSTM. IEEE Access. 8. 206039–206048. 20 indexed citations
12.
Kim, Hongseok, et al.. (2019). Direct Energy Trading of Microgrids in Distribution Energy Market. 1–6. 11 indexed citations
13.
14.
Moon, Sangwoo, Yung Yi, & Hongseok Kim. (2013). Energy-efficient user association in cellular networks: A population game approach. 388–395. 8 indexed citations
15.
Kim, Hongseok, et al.. (2010). Hydra: A Block-Mapped Parallel Flash Memory Solid-State Disk Architecture. IEEE Transactions on Computers. 59(7). 905–921. 78 indexed citations
16.
Kim, Hongseok, Chan‐Byoung Chae, Gustavo de Veciana, & Robert W. Heath. (2009). A cross-layer approach to energy efficiency for adaptive MIMO systems exploiting spare capacity. IEEE Transactions on Wireless Communications. 8(8). 4264–4275. 108 indexed citations
17.
Kim, Hongseok, et al.. (2008). Development of SEROPI as a wheel-based humanoid robot. The Journal of Korea Robotics Society. 3(1). 73–80. 2 indexed citations
18.
Roh, Se-gon, et al.. (2008). Flexible Docking Mechanism with Error-Compensation Capability for Auto Recharging System of Mobile Robot. International Journal of Control Automation and Systems. 6(5). 731–739. 17 indexed citations
19.
Kim, Hongseok, et al.. (2005). Robot software component interface abstractions for distributed sensor and actuator. 제어로봇시스템학회 국제학술대회 논문집. 2285–2289. 4 indexed citations
20.
Kim, Hongseok, et al.. (2002). A Virtual Machine for Modularized Personal Robot Controller. 제어로봇시스템학회 국제학술대회 논문집. 2170–2173. 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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