Jaehyeok Doh

573 total citations
48 papers, 373 citations indexed

About

Jaehyeok Doh is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, Jaehyeok Doh has authored 48 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Civil and Structural Engineering, 13 papers in Mechanical Engineering and 9 papers in Automotive Engineering. Recurrent topics in Jaehyeok Doh's work include Probabilistic and Robust Engineering Design (9 papers), Additive Manufacturing and 3D Printing Technologies (7 papers) and Fatigue and fracture mechanics (6 papers). Jaehyeok Doh is often cited by papers focused on Probabilistic and Robust Engineering Design (9 papers), Additive Manufacturing and 3D Printing Technologies (7 papers) and Fatigue and fracture mechanics (6 papers). Jaehyeok Doh collaborates with scholars based in South Korea, Singapore and India. Jaehyeok Doh's co-authors include Jongsoo Lee, Nagarajan Raghavan, Qing Yang, Sang-in Park, Farhan Amin, Rashid Abbasi, Ali Kashif Bashir, Hasan J. Alyamani, Jianwen Chen and Minho Joo and has published in prestigious journals such as Carbon, Polymer and Energy.

In The Last Decade

Jaehyeok Doh

36 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaehyeok Doh South Korea 12 96 76 65 60 55 48 373
Jianhua Zhao China 11 168 1.8× 51 0.7× 15 0.2× 35 0.6× 94 1.7× 42 408
Veli Çelik Türkiye 8 130 1.4× 110 1.4× 65 1.0× 60 1.0× 206 3.7× 18 474
Vincent Y. Blouin United States 11 129 1.3× 28 0.4× 69 1.1× 72 1.2× 59 1.1× 47 405
Huang Gao China 15 413 4.3× 96 1.3× 88 1.4× 93 1.6× 60 1.1× 20 567
Weigang Zhang China 9 246 2.6× 35 0.5× 103 1.6× 31 0.5× 77 1.4× 24 545
Pravin M. Singru India 14 162 1.7× 53 0.7× 58 0.9× 50 0.8× 76 1.4× 39 477
Jizhe Wang China 12 69 0.7× 62 0.8× 84 1.3× 108 1.8× 12 0.2× 53 432
Michael Beitelschmidt Germany 10 123 1.3× 53 0.7× 24 0.4× 20 0.3× 41 0.7× 49 325
Peng Jin China 9 248 2.6× 29 0.4× 109 1.7× 49 0.8× 51 0.9× 28 439
Huile Zhang China 8 292 3.0× 56 0.7× 35 0.5× 57 0.9× 130 2.4× 15 457

Countries citing papers authored by Jaehyeok Doh

Since Specialization
Citations

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

Fields of papers citing papers by Jaehyeok Doh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaehyeok Doh

This figure shows the co-authorship network connecting the top 25 collaborators of Jaehyeok Doh. A scholar is included among the top collaborators of Jaehyeok Doh 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 Jaehyeok Doh. Jaehyeok Doh 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.
Doh, Jaehyeok, et al.. (2025). Data-Efficient and Uncertainty-Aware RUL Prediction Using Physics-Informed Neural Networks. Annual Conference of the PHM Society. 17(1).
2.
Kim, Sanghoon, et al.. (2025). Multi-Objective Optimization Technique-based Inverse Design of Honeycomb Lattice Steel Damper Considering Target Internal Force. Transactions of the Korean Society of Mechanical Engineers A. 49(6). 461–469.
6.
Park, Sang-in, et al.. (2023). Multi-objective Optimization of Aerodynamic Blade Shapes for Quadcopter System to Enhance Hovering Thrust and Power Consumption Efficiency. International Journal of Aeronautical and Space Sciences. 24(3). 689–700. 2 indexed citations
7.
Ryu, Hyun‐Seung, et al.. (2023). Design Optimization of Yoke for Calcine Container Considering Strength Condition. Transactions of the Korean Society of Mechanical Engineers A. 47(8). 679–686.
8.
Bora, Pritom J., et al.. (2023). Optimization of PDMS -MWCNT nanocomposites for strong Ku-band absorption by integrating microwave simulations and genetic algorithm. Composites Communications. 39. 101568–101568. 12 indexed citations
9.
Choi, Chang‐Ho, et al.. (2023). Expediting High‐Yield Mxene Carbides and Nitrides Synthesis for Next‐Generation 2D Materials. Advanced Materials Technologies. 9(2). 11 indexed citations
10.
Dhand, Vivek, et al.. (2023). Current status of synthesis and consolidation strategies for thermo-resistant nanoalloys and their general applications. Nanotechnology Reviews. 12(1). 2 indexed citations
11.
Duong, Pham Luu Trung, et al.. (2021). Online Prognosis of Bimodal Crack Evolution for Fatigue Life Prediction of Composite Laminates Using Particle Filters. Applied Sciences. 11(13). 6046–6046. 10 indexed citations
12.
Doh, Jaehyeok, et al.. (2021). Bayesian inference-based decision of fatigue life model for metal additive manufacturing considering effects of build orientation and post-processing. International Journal of Fatigue. 155. 106535–106535. 15 indexed citations
13.
Doh, Jaehyeok, Sang-in Park, Qing Yang, & Nagarajan Raghavan. (2019). The effect of carbon nanotube chirality on the electrical conductivity of polymer nanocomposites considering tunneling resistance. Nanotechnology. 30(46). 465701–465701. 22 indexed citations
14.
Doh, Jaehyeok, et al.. (2018). Viscoplastic parameter identification of temperature‐dependent mechanical behavior of modified polyphenylene oxide polymers. Polymer Engineering and Science. 59(S1). 13 indexed citations
15.
Lee, So‐Young, et al.. (2018). Heat Transfer and Thermal Stress Analysis According to Wheel Web Shapes Considering Tread Braking. Transactions of the Korean Society of Mechanical Engineers A. 42(2). 159–166. 2 indexed citations
16.
Doh, Jaehyeok & Jongsoo Lee. (2017). Bayesian estimation of the lethargy coefficient for probabilistic fatigue life model. Journal of Computational Design and Engineering. 5(2). 191–197. 15 indexed citations
17.
Yoo, SangHyuk, et al.. (2017). Topologically optimized shape of CFRP front lower control ARM. International Journal of Automotive Technology. 18(4). 625–630. 9 indexed citations
18.
Doh, Jaehyeok, et al.. (2016). Reliability Based Design of the Automotive Components considering Degradation Properties of Polymeric Materials. Transactions of Korean Society of Automotive Engineers. 24(5). 596–604. 5 indexed citations
19.
Doh, Jaehyeok, Seung Uk Lee, & Jongsoo Lee. (2016). Back-propagation neural network-based approximate analysis of true stress-strain behaviors of high-strength metallic material. Journal of Mechanical Science and Technology. 30(3). 1233–1241. 11 indexed citations
20.
Lee, Hyung‐Seok, et al.. (2013). Long-term life prediction of polyacrylate rubber (ACM) gasket with chlorine cure sites using the four-parameter recovery model. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 227(11). 1536–1545. 7 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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