Jangho Park

429 total citations
24 papers, 272 citations indexed

About

Jangho Park is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Jangho Park has authored 24 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics, Probability and Uncertainty, 8 papers in Computational Mechanics and 7 papers in Aerospace Engineering. Recurrent topics in Jangho Park's work include Probabilistic and Robust Engineering Design (8 papers), Computational Fluid Dynamics and Aerodynamics (8 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Jangho Park is often cited by papers focused on Probabilistic and Robust Engineering Design (8 papers), Computational Fluid Dynamics and Aerodynamics (8 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Jangho Park collaborates with scholars based in United States, South Korea and Austria. Jangho Park's co-authors include Chi‐Hyuck Jun, Bhavna Arora, Boris Faybishenko, Charuleka Varadharajan, Juliane Müller, Reetik Kumar Sahu, D. Agarwal, Seongim Choi, Güzi̇n Bayraksan and Sangho Lee and has published in prestigious journals such as European Journal of Operational Research, Neural Computing and Applications and Ocean Engineering.

In The Last Decade

Jangho Park

24 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jangho Park United States 9 92 75 64 42 37 24 272
Yunlu Jiang China 11 22 0.2× 48 0.6× 57 0.9× 27 0.6× 207 5.6× 40 461
Sevvandi Kandanaarachchi Australia 10 63 0.7× 69 0.9× 12 0.2× 25 0.6× 22 0.6× 25 329
S. Tarantola Italy 6 68 0.7× 19 0.3× 221 3.5× 36 0.9× 7 0.2× 12 408
Yves Deville France 3 42 0.5× 10 0.1× 119 1.9× 46 1.1× 23 0.6× 4 429
Étienne de Rocquigny France 9 25 0.3× 13 0.2× 164 2.6× 16 0.4× 23 0.6× 20 239
Ivan Depina Norway 10 46 0.5× 8 0.1× 96 1.5× 24 0.6× 10 0.3× 25 408
Daniela Jarušková Czechia 11 24 0.3× 22 0.3× 51 0.8× 92 2.2× 109 2.9× 30 314
Qi Ouyang China 9 172 1.9× 45 0.6× 105 1.6× 59 1.4× 3 0.1× 18 358
Nicolas Devictor France 5 60 0.7× 11 0.1× 209 3.3× 21 0.5× 12 0.3× 9 410
Wolfgang Mauntz Germany 3 41 0.4× 12 0.2× 225 3.5× 24 0.6× 10 0.3× 5 393

Countries citing papers authored by Jangho Park

Since Specialization
Citations

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

Fields of papers citing papers by Jangho Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jangho Park

This figure shows the co-authorship network connecting the top 25 collaborators of Jangho Park. A scholar is included among the top collaborators of Jangho 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 Jangho Park. Jangho 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.
Souza-Chaves, Bianca M., et al.. (2023). Analysis of backwash settings to maximize net water production in an engineering-scale ultrafiltration system for water reuse. Journal of Water Process Engineering. 53. 103761–103761. 7 indexed citations
2.
Park, Jangho, et al.. (2023). Modelling Isolated Propeller Performance at High Angles of Attack. 1 indexed citations
3.
Park, Jangho & Güzi̇n Bayraksan. (2022). A multistage distributionally robust optimization approach to water allocation under climate uncertainty. European Journal of Operational Research. 306(2). 849–871. 17 indexed citations
4.
Park, Jangho, Juliane Müller, Bhavna Arora, et al.. (2022). Long-term missing value imputation for time series data using deep neural networks. Neural Computing and Applications. 30 indexed citations
5.
Park, Jangho, et al.. (2021). Design by adaptive infill sampling with multi-objective optimization for exploitation and exploration. Probabilistic Engineering Mechanics. 67. 103175–103175. 3 indexed citations
6.
Müller, Juliane, Jangho Park, Reetik Kumar Sahu, et al.. (2020). Surrogate optimization of deep neural networks for groundwater predictions. Journal of Global Optimization. 81(1). 203–231. 70 indexed citations
7.
Sahu, Reetik Kumar, Juliane Müller, Jangho Park, et al.. (2020). Impact of Input Feature Selection on Groundwater Level Prediction From a Multi-Layer Perceptron Neural Network. Frontiers in Water. 2. 34 indexed citations
8.
Park, Jangho & Seongim Choi. (2019). Multi-response Gaussian Process for Multidisciplinary Design Optimization. AIAA Aviation 2019 Forum. 1 indexed citations
9.
Park, Jangho, et al.. (2018). Prediction of Dynamic Stability Using Mapped Chebyshev Pseudospectral Method. International Journal of Aerospace Engineering. 2018. 1–14. 3 indexed citations
10.
Park, Jangho, Young Min Jo, & Seongim Choi. (2017). Variable-Fidelity Multidisciplinary Design Optimization with Uncertain Design Variable for Innovative Control Effector of Tailless Aircraft. 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 1 indexed citations
11.
Park, Jangho, et al.. (2016). Stability Derivative Computation of Tailless Aircraft using Variable-Fidelity Aerodynamic Analysis for Control Performance Analysis. 54th AIAA Aerospace Sciences Meeting. 3 indexed citations
12.
Jo, Young Min, et al.. (2016). Adaptive Variable-Fidelity Analysis and Design for A Tailless Aircraft with Innovative Control Effectors under Model-Form Uncertainty. 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 1 indexed citations
13.
Park, Jangho, et al.. (2016). Adaptive Variable-Fidelity Analysis and Design of A Tailless Aircraft under Model-Form Uncertainty. 1 indexed citations
14.
15.
Jo, Young Min, Jangho Park, Jae Young Choi, et al.. (2015). Adaptive Variable-Fidelity Aerodynamic Analysis and Design for Tailless Aircraft under Model-Form Uncertainty. 1 indexed citations
16.
Park, Jangho & Chi‐Hyuck Jun. (2015). A new multivariate EWMA control chart via multiple testing. Journal of Process Control. 26. 51–55. 25 indexed citations
17.
Park, Youn Shik, et al.. (2015). Evaluation of Regression Models in LOADEST to Estimate Suspended Solid Load in Hangang Waterbody. Journal of The Korean Society of Agricultural Engineers. 57(2). 37–45. 2 indexed citations
18.
Lee, Sangho, Jangho Park, & Chi‐Hyuck Jun. (2013). An exponentially weighted moving average chart controlling false discovery rate. Journal of Statistical Computation and Simulation. 84(8). 1830–1840. 19 indexed citations
19.
Park, Jangho & Chi‐Hyuck Jun. (2012). Multivariate Process Control Chart for Controlling the False Discovery Rate. Industrial Engineering & Management Systems. 11(4). 385–389. 15 indexed citations
20.
Kim, Changbum, et al.. (2007). A Study of Electro-Optical Crystal as a Diagnostic Tool for Low Energy Electron Beam. Journal of the Korean Physical Society. 50(95). 1390–1390. 2 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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