Hyundo Park

491 total citations
21 papers, 312 citations indexed

About

Hyundo Park is a scholar working on Civil and Structural Engineering, Materials Chemistry and Signal Processing. According to data from OpenAlex, Hyundo Park has authored 21 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Civil and Structural Engineering, 5 papers in Materials Chemistry and 4 papers in Signal Processing. Recurrent topics in Hyundo Park's work include Landslides and related hazards (4 papers), Dam Engineering and Safety (4 papers) and Soil and Unsaturated Flow (4 papers). Hyundo Park is often cited by papers focused on Landslides and related hazards (4 papers), Dam Engineering and Safety (4 papers) and Soil and Unsaturated Flow (4 papers). Hyundo Park collaborates with scholars based in South Korea, Singapore and United States. Hyundo Park's co-authors include Junghwan Kim, Hyungtae Cho, Jongkoo Lim, Sangseom Jeong, Yongmin Kim, Heejo Lee, Hongzhe Li, Mahn-Soo Choi, Tae‐Beom Kim and Il Moon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Catalysis B: Environmental and Journal of Cleaner Production.

In The Last Decade

Hyundo Park

21 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyundo Park South Korea 11 63 63 61 55 54 21 312
Xiaofei Xu China 9 136 2.2× 57 0.9× 47 0.8× 23 0.4× 106 2.0× 40 434
Nélida B. Brignole Argentina 10 16 0.3× 32 0.5× 10 0.2× 29 0.5× 48 0.9× 40 287
Farhan A. Alenizi Saudi Arabia 10 15 0.2× 22 0.3× 11 0.2× 33 0.6× 29 0.5× 34 304
Yuan Yu China 10 49 0.8× 10 0.2× 8 0.1× 9 0.2× 18 0.3× 40 324
Mrinal Buragohain India 5 37 0.6× 15 0.2× 6 0.1× 10 0.2× 59 1.1× 14 297
Jung-Gyu Kim South Korea 7 82 1.3× 33 0.5× 7 0.1× 111 2.0× 13 0.2× 32 359
Paul Sage United Kingdom 8 273 4.3× 36 0.6× 14 0.2× 59 1.1× 23 0.4× 30 377
Huixin Ma China 10 17 0.3× 14 0.2× 12 0.2× 5 0.1× 141 2.6× 14 474
Huanjun Yu China 6 18 0.3× 22 0.3× 6 0.1× 15 0.3× 89 1.6× 8 336
Mengmeng Cai China 9 30 0.5× 29 0.5× 13 0.2× 14 0.3× 93 1.7× 34 614

Countries citing papers authored by Hyundo Park

Since Specialization
Citations

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

Fields of papers citing papers by Hyundo Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyundo Park

This figure shows the co-authorship network connecting the top 25 collaborators of Hyundo Park. A scholar is included among the top collaborators of Hyundo Park 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 Hyundo Park. Hyundo Park 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.
Park, Hyundo, et al.. (2025). Enhancing Catalyst Performance Prediction with Hybrid Quantum Neural Networks: A Comparative Study on Data Consistency Variation. ACS Sustainable Chemistry & Engineering. 13(5). 2048–2059. 1 indexed citations
2.
Park, Hyundo, et al.. (2024). Novel natural gradient boosting-based probabilistic prediction of physical properties for polypropylene-based composite data. Engineering Applications of Artificial Intelligence. 135. 108864–108864. 3 indexed citations
3.
Park, Hyundo, et al.. (2023). Machine learning-based heat deflection temperature prediction and effect analysis in polypropylene composites using catboost and shapley additive explanations. Engineering Applications of Artificial Intelligence. 126. 106873–106873. 43 indexed citations
4.
Park, Hyundo, et al.. (2023). Accelerating active catalyst discovery: a probabilistic prediction-based screening methodology with applications in dry reforming of methane. Journal of Materials Chemistry A. 12(3). 1629–1641. 2 indexed citations
5.
Park, Hyundo, et al.. (2023). Advancing Glycan Analysis: A New Platform Integrating SERS, Boronic Acids, and Machine Learning Algorithms. SHILAP Revista de lepidopterología. 2(12). 7 indexed citations
6.
Park, Hyundo, et al.. (2023). Interpretable machine learning framework for catalyst performance prediction and validation with dry reforming of methane. Applied Catalysis B: Environmental. 343. 123454–123454. 36 indexed citations
7.
Park, Hyundo, et al.. (2022). Optimal operating strategy of ash deposit removal system to maximize boiler efficiency using CFD and a thermal transfer efficiency model. Journal of Industrial and Engineering Chemistry. 110. 301–317. 13 indexed citations
8.
Park, Hyundo, et al.. (2022). A framework for energy optimization of distillation process using machine learning‐based predictive model. Energy Science & Engineering. 10(6). 1913–1924. 14 indexed citations
9.
10.
Lim, Jonghun, et al.. (2022). Reinforcement learning-based optimal operation of ash deposit removal system to improve recycling efficiency of biomass for CO2 reduction. Journal of Cleaner Production. 370. 133605–133605. 5 indexed citations
11.
Park, Hyundo, et al.. (2021). Computational Fluid Dynamic Modelling of Optimal Water Level in Low-pressure Microbubbles Scrubbers. SHILAP Revista de lepidopterología. 3 indexed citations
12.
Park, Hyundo, et al.. (2021). Development of physical property prediction models for polypropylene composites with optimizing random forest hyperparameters. International Journal of Intelligent Systems. 37(6). 3625–3653. 33 indexed citations
13.
Park, Hyundo, et al.. (2021). Modeling and optimization of water mist system for effective air-cooled heat exchangers. International Journal of Heat and Mass Transfer. 184. 122297–122297. 8 indexed citations
14.
Jeong, Sangseom, Yongmin Kim, Hyundo Park, & Jae‐Hong Kim. (2018). Effects of rainfall infiltration and hysteresis on the settlement of shallow foundations in unsaturated soil. Environmental Earth Sciences. 77(13). 16 indexed citations
15.
Kim, Yongmin, Hyundo Park, & Sangseom Jeong. (2017). Settlement Behavior of Shallow Foundations in Unsaturated Soils under Rainfall. Sustainability. 9(8). 1417–1417. 28 indexed citations
16.
Kim, Tae‐Beom, et al.. (2017). Packer Detection for Multi-Layer Executables Using Entropy Analysis. Entropy. 19(3). 125–125. 19 indexed citations
17.
Park, Hyundo, et al.. (2016). Entropy analysis to classify unknown packing algorithms for malware detection. International Journal of Information Security. 16(3). 227–248. 40 indexed citations
18.
Lee, Kwang‐Woo, Hyundo Park, & Sangseom Jeong. (2016). A Proposed Analytical Model for the Debris Flow with Erosion and Entrainment of Soil Layer. Journal of the Korean Geotechnical Society. 32(10). 17–29. 1 indexed citations
19.
Park, Hyundo, Hyogon Kim, & Heejo Lee. (2009). Is early warning of an imminent worm epidemic possible?. IEEE Network. 23(5). 14–20. 2 indexed citations
20.
Li, Peng, Hyundo Park, Debin Gao, & Jianming Fu. (2008). Bridging the Gap between Data-Flow and Control-Flow Analysis for Anomaly Detection. 392–401. 11 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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