HyungWon Kim

3.8k total citations · 2 hit papers
203 papers, 2.7k citations indexed

About

HyungWon Kim is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Biomedical Engineering. According to data from OpenAlex, HyungWon Kim has authored 203 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Electrical and Electronic Engineering, 43 papers in Computer Networks and Communications and 31 papers in Biomedical Engineering. Recurrent topics in HyungWon Kim's work include Vehicular Ad Hoc Networks (VANETs) (21 papers), Advanced Neural Network Applications (20 papers) and Advanced Memory and Neural Computing (16 papers). HyungWon Kim is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (21 papers), Advanced Neural Network Applications (20 papers) and Advanced Memory and Neural Computing (16 papers). HyungWon Kim collaborates with scholars based in South Korea, Egypt and United States. HyungWon Kim's co-authors include David A. Huse, Shimaa A. Abdel Hakeem, Tatsuhiko N. Ikeda, Hanan Hussein, Dong-Ho Lee, Mahmoud Elsharief, Hong-Bae Jun, John P. Hayes, Frank Lu and Hoon Huh and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical Review B.

In The Last Decade

HyungWon Kim

183 papers receiving 2.6k citations

Hit Papers

Ballistic Spreading of Entanglement in a Diffusive Nonint... 2013 2026 2017 2021 2013 2014 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
HyungWon Kim South Korea 23 903 791 514 409 399 203 2.7k
H.N. Koivo Finland 29 1.7k 1.9× 167 0.2× 524 1.0× 477 1.2× 92 0.2× 223 5.1k
Matthias A. Müller Germany 35 332 0.4× 232 0.3× 264 0.5× 173 0.4× 124 0.3× 192 4.3k
Tzyh‐Jong Tarn United States 29 293 0.3× 597 0.8× 268 0.5× 1.0k 2.5× 147 0.4× 120 2.8k
Quanyuan Feng China 25 2.6k 2.9× 454 0.6× 569 1.1× 111 0.3× 78 0.2× 308 3.6k
Chunlin Chen China 32 661 0.7× 441 0.6× 446 0.9× 1.6k 3.8× 113 0.3× 203 3.3k
T.J. Tarn United States 28 117 0.1× 369 0.5× 185 0.4× 436 1.1× 195 0.5× 135 3.0k
Wei Zhang China 38 2.8k 3.1× 413 0.5× 913 1.8× 569 1.4× 74 0.2× 335 4.8k
Zhi Li China 29 320 0.4× 182 0.2× 397 0.8× 129 0.3× 233 0.6× 165 2.5k
Wei Liang China 34 3.4k 3.8× 1.3k 1.6× 1.4k 2.8× 563 1.4× 94 0.2× 289 5.3k
Bayu Jayawardhana Netherlands 30 356 0.4× 75 0.1× 665 1.3× 136 0.3× 110 0.3× 192 3.0k

Countries citing papers authored by HyungWon Kim

Since Specialization
Citations

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

Fields of papers citing papers by HyungWon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of HyungWon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of HyungWon Kim. A scholar is included among the top collaborators of HyungWon 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 HyungWon Kim. HyungWon 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, HyungWon, et al.. (2025). Self-Supervised Image Anomaly Detection Through Diverse Pseudo Anomaly Insertion. IEEE Access. 13. 115712–115734.
3.
Kim, HyungWon, et al.. (2024). High-Speed CNN Accelerator SoC Design Based on a Flexible Diagonal Cyclic Array. Electronics. 13(8). 1564–1564. 1 indexed citations
4.
Kim, HyungWon, et al.. (2024). Hybrid Precision Floating-Point (HPFP) Selection to Optimize Hardware-Constrained Accelerator for CNN Training. Sensors. 24(7). 2145–2145. 5 indexed citations
5.
Kim, HyungWon, et al.. (2023). Evaluation of Anode Water Electrolyzed with Anion Exchange Membrane for Cleaning EUV Semiconductor. SHILAP Revista de lepidopterología. 2(4). 40510–40510. 1 indexed citations
6.
Kim, HyungWon, et al.. (2023). CNN Accelerator Using Proposed Diagonal Cyclic Array for Minimizing Memory Accesses. Computers, materials & continua/Computers, materials & continua (Print). 76(2). 1665–1687. 2 indexed citations
7.
Kim, HyungWon, et al.. (2023). A Compact and Low-Power SoC Design for Spiking Neural Network Based on Current Multiplier Charge Injector Synapse. Sensors. 23(14). 6275–6275. 6 indexed citations
8.
Kim, HyungWon, et al.. (2023). Analog Convolutional Operator Circuit for Low-Power Mixed-Signal CNN Processing Chip. Sensors. 23(23). 9612–9612. 3 indexed citations
9.
Kim, HyungWon, et al.. (2022). Optimal Architecture of Floating-Point Arithmetic for Neural Network Training Processors. Sensors. 22(3). 1230–1230. 7 indexed citations
10.
Hakeem, Shimaa A. Abdel, Sherine M. Abd El-Kader, & HyungWon Kim. (2021). A Key Management Protocol Based on the Hash Chain Key Generation for Securing LoRaWAN Networks. Sensors. 21(17). 5838–5838. 18 indexed citations
11.
Kim, HyungWon, et al.. (2021). A Low-Power Spiking Neural Network Chip Based on a Compact LIF Neuron and Binary Exponential Charge Injector Synapse Circuits. Sensors. 21(13). 4462–4462. 29 indexed citations
12.
Kim, HyungWon, et al.. (2021). Design of Power-Efficient Training Accelerator for Convolution Neural Networks. Electronics. 10(7). 787–787. 9 indexed citations
13.
Lee, Jae‐Jin, et al.. (2019). A Switched Capacitor Voltage Converter With Exponentially Sized Capacitor Banks for Wide Load Range. IEEE Transactions on Circuits & Systems II Express Briefs. 67(10). 2049–2053. 3 indexed citations
14.
Kim, HyungWon, et al.. (2019). Zero-Shot Deep Learning for Media Mining: Person Spotting and Face Clustering in Video Big Data. Electronics. 8(12). 1394–1394. 8 indexed citations
15.
Kim, HyungWon, et al.. (2019). Power Efficient Current Driver Based on Negative Boosting for High-Speed Lasers. Electronics. 8(11). 1309–1309. 3 indexed citations
16.
Kim, HyungWon, et al.. (2018). Low Power Time Synchronization for Wireless Sensor Networks Using Density-Driven Scheduling.. Journal of information and communication convergence engineering. 16. 1 indexed citations
17.
Lee, Jae‐Jin, et al.. (2017). An Energy Efficient Charging Technique for Switched Capacitor Voltage Converters With Low-Duty Ratio. IEEE Transactions on Circuits & Systems II Express Briefs. 65(6). 779–783. 16 indexed citations
18.
Lee, Dong-Ho, et al.. (2011). A Scenario based Framework for System Setup and Scheduling in Reconfigurable Manufacturing Systems. Journal of the Korean Society for Precision Engineering. 28(3). 339–348. 1 indexed citations
19.
Kim, Jun-Gyu, HyungWon Kim, & Dong-Ho Lee. (2009). 병렬기계에서 공통납기 결정 및 일정계획 문제에 관한 탐색 알고리듬. 대한산업공학회 춘계공동학술대회 논문집. 251–257. 1 indexed citations
20.
Kim, HyungWon, et al.. (2009). Surrogate Objective based Search Heuristics to Minimize the Number of Tardy Jobs for Multi-Stage Hybrid Flow Shop Scheduling. Journal of Korean Institute of Industrial Engineers. 35(4). 257–265. 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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