Yong‐Hwa Kim

2.7k total citations · 1 hit paper
136 papers, 1.9k citations indexed

About

Yong‐Hwa Kim is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Yong‐Hwa Kim has authored 136 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Electrical and Electronic Engineering, 22 papers in Computer Networks and Communications and 15 papers in Control and Systems Engineering. Recurrent topics in Yong‐Hwa Kim's work include Power Line Communications and Noise (21 papers), Advanced Wireless Communication Techniques (15 papers) and High voltage insulation and dielectric phenomena (13 papers). Yong‐Hwa Kim is often cited by papers focused on Power Line Communications and Noise (21 papers), Advanced Wireless Communication Techniques (15 papers) and High voltage insulation and dielectric phenomena (13 papers). Yong‐Hwa Kim collaborates with scholars based in South Korea, United States and Vietnam. Yong‐Hwa Kim's co-authors include Jong-Ho Lee, Seong-Cheol Kim, Jong-Ho Sun, Young-Woo Youn, Don-Ha Hwang, Jung‐Hwan Kwon, Jong‐Hyeon Lee, Dong-Sik Kang, Tien‐Tung Nguyen and Jaegul Choo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Yong‐Hwa Kim

121 papers receiving 1.8k citations

Hit Papers

A Novel Two-Stage Deep Learning Model for Network Intrusi... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong‐Hwa Kim South Korea 23 812 352 280 222 209 136 1.9k
Haixin Wang China 31 1.3k 1.6× 274 0.8× 114 0.4× 376 1.7× 290 1.4× 178 3.0k
Tianbao Wang China 21 278 0.3× 179 0.5× 210 0.8× 267 1.2× 129 0.6× 70 2.5k
Jinlong Wang China 29 1.1k 1.4× 169 0.5× 232 0.8× 108 0.5× 293 1.4× 127 2.7k
Siying Zhang China 30 305 0.4× 1.2k 3.5× 784 2.8× 356 1.6× 153 0.7× 289 3.3k
Shilong Wang China 34 693 0.9× 454 1.3× 163 0.6× 143 0.6× 183 0.9× 232 3.9k
Vinod Kumar Jain India 25 920 1.1× 49 0.1× 219 0.8× 447 2.0× 74 0.4× 157 3.5k
Huifang Sun United States 35 254 0.3× 66 0.2× 227 0.8× 201 0.9× 279 1.3× 152 4.7k
Isabelle Queinnec France 24 843 1.0× 1.9k 5.4× 264 0.9× 31 0.1× 285 1.4× 118 2.8k
Jinfeng Liu Canada 38 1000 1.2× 3.4k 9.6× 344 1.2× 117 0.5× 103 0.5× 251 4.8k
Caleb Phillips United States 19 579 0.7× 92 0.3× 273 1.0× 171 0.8× 45 0.2× 79 1.5k

Countries citing papers authored by Yong‐Hwa Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Hwa Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong‐Hwa Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Hwa Kim. A scholar is included among the top collaborators of Yong‐Hwa 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 Yong‐Hwa Kim. Yong‐Hwa 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.
Youn, Young-Woo, et al.. (2025). Partial Discharge Diagnosis Using Semi-Supervised Learning and Complementary Labels in Gas-Insulated Switchgear. IEEE Access. 13. 58722–58734. 2 indexed citations
3.
Youn, Young-Woo, et al.. (2024). Shared Knowledge-Based Contrastive Federated Learning for Partial Discharge Diagnosis in Gas-Insulated Switchgear. IEEE Access. 12. 34993–35007. 3 indexed citations
4.
5.
Nguyen, Sang Quang, et al.. (2021). Performance Evaluation of Downlink Multiple Users NOMA-Enable UAV-Aided Communication Systems Over Nakagami-m Fading Environments. IEEE Access. 9. 151641–151653. 11 indexed citations
6.
Cho, Yong Sung, et al.. (2020). Convolutional-Neural-Network-Based Partial Discharge Diagnosis for Power Transformer Using UHF Sensor. IEEE Access. 8. 207377–207388. 58 indexed citations
7.
Choi, Jeongsik, et al.. (2018). NLOS Identification in WLANs Using Deep LSTM with CNN Features. Sensors. 18(11). 4057–4057. 20 indexed citations
8.
Lee, Woong‐Hee, Jeongsik Choi, Yong‐Hwa Kim, Jong-Ho Lee, & Seong-Cheol Kim. (2017). Adaptive Sector Coloring Game for Geometric Network Information-Based Inter-Cell Interference Coordination in Wireless Cellular Networks. IEEE/ACM Transactions on Networking. 26(1). 288–301. 3 indexed citations
9.
Hwang, Don-Ha, et al.. (2015). Support Vector Machine Based Bearing Fault Diagnosis for Induction Motors Using Vibration Signals. Journal of Electrical Engineering and Technology. 10(4). 1558–1565. 43 indexed citations
10.
Lee, Jong-Chan, et al.. (2007). A Study on the Shelf-life Prediction of the Single Base Propellants Using Accelerated Aging Test. Journal of the Korean society for quality management. 35(2). 45–52. 6 indexed citations
11.
Kim, Yong‐Hwa, et al.. (2007). Quantitative analysis of 3-MCPD in water using LC-MS. Analytical Science and Technology. 20(3). 198–203. 1 indexed citations
12.
Kim, Yong‐Hwa, et al.. (2006). A Case Study of Six Sigma for Improving Non-Function Test Process in the Ammunition Stockpile Reliability Program. Journal of the Korean society for quality management. 34(4). 13–21. 5 indexed citations
13.
Kim, Yong‐Hwa, et al.. (1995). Information Resources for the Establishment of Tolerances on Pesticide Residues in Water Quality. Korean Journal of Environmental Agriculture. 14(3). 351–373. 1 indexed citations
14.
Kim, Yong‐Hwa, et al.. (1990). Congenital Aniridia in a Family for Three Generations.. Journal of the Korean Ophthalmological Society. 31(3). 383–389. 1 indexed citations
15.
Kim, Young‐Bae, et al.. (1988). Selective Toxicity and Acetylcholinesterase Inhibition of Diazinon and Carbofuran to Killifish(Oryzias latipes) and Loach(Misgurnus anguillicaudatus). Korean Journal of Environmental Agriculture. 7(2). 117–123. 1 indexed citations
16.
Lee, Sung‐Kyu, et al.. (1986). Environmental Fate of Trichlorfon Used to Control Agelastica coerulea B. in Forest by Aerial Application. Korean Journal of Environmental Agriculture. 5(2). 119–129. 1 indexed citations
17.
Kim, Yong‐Hwa, et al.. (1981). Behavior of 14 C-BHC Residues in Rice Grain. Nuclear Engineering and Technology. 13(4). 221–228. 1 indexed citations
18.
Kang, Myung‐Hee, et al.. (1980). Trypsin Inhibitor and Hemagglutinating Activities of Some Minor Beans in Korea. Korean Journal of Food Science and Technology. 12(1). 24–33. 1 indexed citations
19.
Kim, Yong‐Hwa, et al.. (1979). Elimination of BHC Residues in the Polishing and Cooking Processes of Brown Rice. Korean Journal of Food Science and Technology. 11(1). 18–25. 2 indexed citations
20.
Kim, Yong‐Hwa, et al.. (1977). Detection of Aflatoxins in Some Korean Foodstuffs. Korean Journal of Food Science and Technology. 9(1). 73–80. 3 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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