Joongheon Kim

2.0k total citations · 1 hit paper
76 papers, 1.4k citations indexed

About

Joongheon Kim is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Joongheon Kim has authored 76 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Electrical and Electronic Engineering, 23 papers in Computer Networks and Communications and 18 papers in Artificial Intelligence. Recurrent topics in Joongheon Kim's work include Advanced MIMO Systems Optimization (19 papers), Millimeter-Wave Propagation and Modeling (12 papers) and Energy Harvesting in Wireless Networks (7 papers). Joongheon Kim is often cited by papers focused on Advanced MIMO Systems Optimization (19 papers), Millimeter-Wave Propagation and Modeling (12 papers) and Energy Harvesting in Wireless Networks (7 papers). Joongheon Kim collaborates with scholars based in South Korea, United States and Japan. Joongheon Kim's co-authors include Jeongyeup Paek, Ramesh Govindan, Sungrae Cho, MyungJae Shin, Dae‐Hyun Choi, Wonjun Lee, Laihyuk Park, Soohyun Park, Soyi Jung and Choonhwa Lee and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Joongheon Kim

67 papers receiving 1.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Energy-efficient rate-adaptive GPS-based positioning for smartphones

2010 361 citations Jeongyeup Paek, Joongheon Kim et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joongheon Kim South Korea	18	946	490	203	174	164	76	1.4k
Luca Bedogni Italy	19	562 0.6×	543 1.1×	201 1.0×	79 0.5×	241 1.5×	99	1.2k
Hirozumi Yamaguchi Japan	21	767 0.8×	743 1.5×	284 1.4×	133 0.8×	225 1.4×	206	1.6k
Christos Laoudias Cyprus	20	1.1k 1.1×	431 0.9×	196 1.0×	371 2.1×	163 1.0×	79	1.6k
Chaocan Xiang China	18	572 0.6×	307 0.6×	168 0.8×	167 1.0×	159 1.0×	72	1.1k
Fanzi Zeng China	16	479 0.5×	609 1.2×	103 0.5×	218 1.3×	131 0.8×	35	1.2k
Fan Ye United States	20	931 1.0×	773 1.6×	176 0.9×	152 0.9×	99 0.6×	96	1.8k
Yu Gu China	24	1.6k 1.7×	664 1.4×	63 0.3×	145 0.8×	64 0.4×	49	1.9k
Jinsong Gui China	20	569 0.6×	721 1.5×	89 0.4×	187 1.1×	45 0.3×	91	1.2k
Pedro José Marrón Germany	23	577 0.6×	1.1k 2.2×	336 1.7×	133 0.8×	107 0.7×	142	1.5k
Michel Goraczko United States	14	772 0.8×	990 2.0×	244 1.2×	76 0.4×	196 1.2×	19	1.6k

Countries citing papers authored by Joongheon Kim

Since Specialization

Citations

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

Fields of papers citing papers by Joongheon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joongheon Kim

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kim, Joongheon, et al.. (2025). Quantum-Amplitude Embedded Adaptation for Parameter-Efficient Fine-Tuning in Large Language Models. 5171–5175.

Kim, Minjoo, et al.. (2025). Correlation-assisted spatio-temporal reinforcement learning for stock revenue maximization. Expert Systems with Applications. 289. 128361–128361.

Park, Soohyun, et al.. (2025). Dynamic Quantum Federated Learning for UAV-Based Autonomous Surveillance. IEEE Transactions on Vehicular Technology. 74(5). 8158–8170. 1 indexed citations

Jung, Soyi, et al.. (2025). Integrated Control, Communication, and Computing for Mission-Critical Embedded Unmanned Aerial Vehicles. IEEE Transactions on Aerospace and Electronic Systems. 62. 682–703.

Park, Soohyun, et al.. (2024). Adaptive Quantum Federated Learning for Autonomous Surveillance Multi-Drone Networks. IEEE Transactions on Intelligent Vehicles. 10(11). 5055–5059.

Park, Soohyun, et al.. (2024). AQUA: Analytics-driven quantum neural network (QNN) user assistance for software validation. Future Generation Computer Systems. 159. 545–556. 2 indexed citations

Lin, Xingqin, Jun Zhang, Yuanwei Liu, & Joongheon Kim. (2023). Fundamentals of 6G Communications and Networking. Signals and communication technology. 5 indexed citations

Park, Soohyun, et al.. (2023). Joint frame rate adaptation and object recognition model selection for stabilized unmanned aerial vehicle surveillance. ETRI Journal. 45(5). 811–821. 6 indexed citations

Park, Soohyun, et al.. (2023). Two tales of platoon intelligence for autonomous mobility control: Enabling deep learning recipes. ETRI Journal. 45(5). 735–745. 1 indexed citations

10.

Jung, Soyi, Jae‐Hyun Kim, Aziz Mohaisen, & Joongheon Kim. (2023). Truthful and performance-optimal computation outsourcing for aerial surveillance platforms via learning-based auction. Computer Networks. 225. 109651–109651. 1 indexed citations

11.

Bui, Van Ga, et al.. (2021). Multi-Behavior with Bottleneck Features LSTM for Load Forecasting in Building Energy Management System. Electronics. 10(9). 1026–1026. 15 indexed citations

12.

Jung, Soyi, et al.. (2020). Joint Message-Passing and Convex Optimization Framework for Energy-Efficient Surveillance UAV Scheduling. Electronics. 9(9). 1475–1475. 17 indexed citations

13.

Park, Soohyun, et al.. (2020). Adaptive Real-Time Offloading Decision-Making for Mobile Edges: Deep Reinforcement Learning Framework and Simulation Results. Applied Sciences. 10(5). 1663–1663. 13 indexed citations

14.

Park, Soohyun, et al.. (2020). Optimal User Selection for High-Performance and Stabilized Energy-Efficient Federated Learning Platforms. Electronics. 9(9). 1359–1359. 11 indexed citations

15.

Youn, Taek-Young, Joongheon Kim, Aziz Mohaisen, & Seog Chung Seo. (2020). Faster Data Forwarding in Content-Centric Network via Overlaid Packet Authentication Architecture. Sustainability. 12(20). 8746–8746. 2 indexed citations

16.

Shin, MyungJae, et al.. (2018). Top-down parsing for Neural Network Exchange Format (NNEF) in TensorFlow-based deep learning computation. 522–524. 8 indexed citations

17.

Park, Laihyuk, et al.. (2017). Residential Demand Response for Renewable Energy Resources in Smart Grid Systems. IEEE Transactions on Industrial Informatics. 13(6). 3165–3173. 99 indexed citations

18.

Lee, Cheol W., et al.. (2017). Energy-Efficient Mobile Charging for Wireless Power Transfer in Internet of Things Networks. IEEE Internet of Things Journal. 5(1). 79–92. 94 indexed citations

19.

Dao, Nhu‐Ngoc, et al.. (2017). Adaptive Resource Balancing for Serviceability Maximization in Fog Radio Access Networks. IEEE Access. 5. 14548–14559. 39 indexed citations

20.

Kim, Joongheon, et al.. (2016). Achievable Rate Estimation of IEEE 802.11ad Visual Big-Data Uplink Access in Cloud-Enabled Surveillance Applications. PLoS ONE. 11(12). e0167447–e0167447. 5 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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