Hyeonmin Kim

780 total citations
42 papers, 512 citations indexed

About

Hyeonmin Kim is a scholar working on Aerospace Engineering, Statistics, Probability and Uncertainty and Control and Systems Engineering. According to data from OpenAlex, Hyeonmin Kim has authored 42 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Aerospace Engineering, 11 papers in Statistics, Probability and Uncertainty and 8 papers in Control and Systems Engineering. Recurrent topics in Hyeonmin Kim's work include Risk and Safety Analysis (11 papers), Nuclear Engineering Thermal-Hydraulics (9 papers) and Fault Detection and Control Systems (7 papers). Hyeonmin Kim is often cited by papers focused on Risk and Safety Analysis (11 papers), Nuclear Engineering Thermal-Hydraulics (9 papers) and Fault Detection and Control Systems (7 papers). Hyeonmin Kim collaborates with scholars based in South Korea, United States and Singapore. Hyeonmin Kim's co-authors include Jung-Taek Kim, Gyunyoung Heo, Jaehyuk Eoh, Man Gyun Na, Jinkyun Park, Poong Hyun Seong, Sang-Hwan Lee, Jun‐Seok Park, Hyung Dae Kim and Jae‐Hyun Cho and has published in prestigious journals such as Circulation, The Science of The Total Environment and ACS Applied Materials & Interfaces.

In The Last Decade

Hyeonmin Kim

37 papers receiving 500 citations

Peers

Hyeonmin Kim

CSE

SPU

EEE

Richard Vilim United States

Junyu Guo China

Mohammad Jafari Jozani Canada

Nesrin Sarigul‐Klijn United States

Kai Wen China

Yuming Sun China

Wei Liang China

Anderson Alvarenga de Moura Meneses Brazil

Jiang Wang China

Richard Vilim United States

Hyeonmin Kim

142 ×1.1

CSE

41 ×0.3

SPU

138 ×1.4

228 ×2.7

EEE

108 ×1.8

Citations per year, relative to Hyeonmin Kim Hyeonmin Kim (= 1×) peers Richard Vilim

Countries citing papers authored by Hyeonmin Kim

Since Specialization

Citations

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

Fields of papers citing papers by Hyeonmin Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyeonmin Kim

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

All Works

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20 of 20 papers shown

Ryu, Seunghyoung, et al.. (2025). Quantitative comparison of explainable artificial intelligence methods for nuclear power plant accident diagnosis models. Progress in Nuclear Energy. 180. 105605–105605. 2 indexed citations

Kim, Hyeonmin, et al.. (2025). Unprecedented East Siberian wildfires intensify Arctic snow darkening through enhanced poleward transport of black carbon. The Science of The Total Environment. 961. 178423–178423.

Cha, Yesol, Jong-Jae Lee, Chul Han Song, et al.. (2024). Investigating uncertainties in air quality models used in GMAP/SIJAQ 2021 field campaign: General performance of different models and ensemble results. Atmospheric Environment. 340. 120896–120896.

Kim, Hyeonmin, June‐Goo Lee, Geunyoung Lee, et al.. (2024). Deep learning model for intravascular ultrasound image segmentation with temporal consistency. The International Journal of Cardiovascular Imaging. 40(11). 2283–2292. 4 indexed citations

Kim, Hyeonmin & Young Yoon. (2023). An Ensemble of Text Convolutional Neural Networks and Multi-Head Attention Layers for Classifying Threats in Network Packets. Electronics. 12(20). 4253–4253. 3 indexed citations

Rim, Tyler Hyungtaek, Sungha Park, Sung Soo Kim, et al.. (2023). Cardiovascular disease risk assessment using a deep-learning-based retinal biomarker: a comparison with existing risk scores. European Heart Journal - Digital Health. 4(3). 236–244. 15 indexed citations

Kim, Hyeonmin, et al.. (2023). Analysis of BIM-Based Quantity Take-Off in Simplification of the Length of Processed Rebar. Applied Sciences. 13(4). 2468–2468. 4 indexed citations

Kim, Hyeonmin, et al.. (2023). Detailed Activity-Based Earthwork Scheduling Model to Aid during the Planning Stage of Road Construction. Applied Sciences. 13(23). 12902–12902. 2 indexed citations

Rim, Tyler Hyungtaek, Hyun Goo Kang, Chan Joo Lee, et al.. (2023). Abstract 16476: Association Between Atrial Fibrillation and Deep Learning Derived Retinal Features Trained on Electrocardiogram versus Coronary Artery Calcium. Circulation. 148(Suppl_1). 1 indexed citations

10.

Tseng, Rachel Marjorie Wei Wen, Tyler Hyungtaek Rim, Eduard Shantsila, et al.. (2023). Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank. BMC Medicine. 21(1). 28–28. 24 indexed citations

11.

Oak, Yujin J., Rokjin J. Park, Duseong S. Jo, et al.. (2022). Evaluation of Secondary Organic Aerosol (SOA) Simulations for Seoul, Korea. Journal of Advances in Modeling Earth Systems. 14(2). 15 indexed citations

12.

Kim, Hyeonmin, et al.. (2022). An approach to constructing effective training data for a classification model to evaluate the reliability of a passive safety system. Reliability Engineering & System Safety. 222. 108446–108446. 6 indexed citations

13.

Kim, Hyeonmin, Rokjin J. Park, Saewung Kim, et al.. (2022). Observed versus simulated OH reactivity during KORUS-AQ campaign: Implications for emission inventory and chemical environment in East Asia. Elementa Science of the Anthropocene. 10(1). 11 indexed citations

14.

Kim, Hyeonmin, Rokjin J. Park, B. E. Anderson, et al.. (2021). Boundary layer versus free tropospheric submicron particle formation: A case study from NASA DC-8 observations in the Asian continental outflow during the KORUS-AQ campaign. Atmospheric Research. 264. 105857–105857. 4 indexed citations

15.

Rim, Tyler Hyungtaek, Aaron Lee, Daniel Shu Wei Ting, et al.. (2021). Computer-aided detection and abnormality score for the outer retinal layer in optical coherence tomography. British Journal of Ophthalmology. 106(9). 1301–1307. 6 indexed citations

16.

Lee, Hyunah, Hae‐Sung Nam, Jihye Choi, et al.. (2020). Analysis of Food Poisoning Outbreaks Occurred in Chungnam Korea, 2019. Korean Journal of Environmental Health Sciences. 46(2). 184–191.

17.

Na, Man Gyun, et al.. (2018). Smart support system for diagnosing severe accidents in nuclear power plants. Nuclear Engineering and Technology. 50(4). 562–569. 33 indexed citations

18.

Kim, Hyeonmin, et al.. (2016). Diagnosis of feedwater heater performance degradation using fuzzy inference system. Expert Systems with Applications. 69. 239–246. 20 indexed citations

19.

Kim, Hyeonmin & Gyunyoung Heo. (2015). Survey on Prognostics Techniques for Updating Initiating Event Frequency in PSA. 1 indexed citations

20.

Kim, Hyeonmin, et al.. (2013). Study on the Relationship Between Cooperative Factors of National R&D Projects and Performance: Focusing on the Moderating Effect of Projects' Characteristics. Korean Journal of Business Administration. 26(3). 695–718. 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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