Dongkoo Shon

523 total citations
12 papers, 287 citations indexed

About

Dongkoo Shon is a scholar working on Mechanical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dongkoo Shon has authored 12 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 6 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dongkoo Shon's work include Machine Fault Diagnosis Techniques (6 papers), Gear and Bearing Dynamics Analysis (5 papers) and EEG and Brain-Computer Interfaces (2 papers). Dongkoo Shon is often cited by papers focused on Machine Fault Diagnosis Techniques (6 papers), Gear and Bearing Dynamics Analysis (5 papers) and EEG and Brain-Computer Interfaces (2 papers). Dongkoo Shon collaborates with scholars based in South Korea and Bangladesh. Dongkoo Shon's co-authors include Jong-Myon Kim, Kichang Im, Byungtae Jang, Dae-Seung Yoo, Jeongho Park, Tae Hyun Yoon, Hyun‐Kyun Choi, Jeong-Ho Park, Rafia Nishat Toma and Farzin Piltan and has published in prestigious journals such as Sensors, International Journal of Environmental Research and Public Health and Applied Sciences.

In The Last Decade

Dongkoo Shon

9 papers receiving 276 citations

Peers

Dongkoo Shon

CN

CSE

ME

ECP

CCM

Syed Zohaib Hassan Naqvi Pakistan

Yudong Luo China

Junjiang Zhu China

Stephan Mühlbacher-Karrer Austria

Hamed Jalaly Bidgoly Iran

Rahul Upadhyay India

Feng Shu China

Hogeon Seo South Korea

S Simić Serbia

Malika Boudraa Algeria

Syed Zohaib Hassan Naqvi Pakistan

Dongkoo Shon

58 ×0.5

CN

30 ×0.3

CSE

44 ×0.7

ME

14 ×0.3

ECP

64 ×1.5

CCM

Citations per year, relative to Dongkoo Shon Dongkoo Shon (= 1×) peers Syed Zohaib Hassan Naqvi

Countries citing papers authored by Dongkoo Shon

Since Specialization

Citations

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

Fields of papers citing papers by Dongkoo Shon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongkoo Shon

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Siddique, Muhammad, Muhammad Umar, Dongkoo Shon, et al.. (2024). Advanced Bearing-Fault Diagnosis and Classification Using Mel-Scalograms and FOX-Optimized ANN. Sensors. 24(22). 7303–7303. 19 indexed citations

2.

Shon, Dongkoo, et al.. (2024). AI-Based Percussive Acoustic Signal Classification for Fastener Strength Inspection of Stator Wedge. 2180–2185.

3.

Ullah, Niamat, Zahoor Ahmad, Muhammad Siddique, et al.. (2023). An Intelligent Framework for Fault Diagnosis of Centrifugal Pump Leveraging Wavelet Coherence Analysis and Deep Learning. Sensors. 23(21). 8850–8850. 16 indexed citations

4.

Piltan, Farzin, Rafia Nishat Toma, Dongkoo Shon, et al.. (2022). Strict-Feedback Backstepping Digital Twin and Machine Learning Solution in AE Signals for Bearing Crack Identification. Sensors. 22(2). 539–539. 14 indexed citations

5.

Toma, Rafia Nishat, Farzin Piltan, Kichang Im, et al.. (2022). A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions. Sensors. 22(13). 4881–4881. 16 indexed citations

6.

Toma, Rafia Nishat, Farzin Piltan, Kichang Im, et al.. (2022). Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features. Sensors. 22(22). 8958–8958. 25 indexed citations

7.

Hasan, Md Junayed, Dongkoo Shon, Kichang Im, et al.. (2020). Sleep State Classification Using Power Spectral Density and Residual Neural Network with Multichannel EEG Signals. Applied Sciences. 10(21). 7639–7639. 37 indexed citations

8.

Uddin, Jia, Dongkoo Shon, Kichang Im, et al.. (2019). A Watermarking Technique for Biomedical Images Using SMQT, Otsu, and Fuzzy C-Means. Electronics. 8(9). 975–975. 9 indexed citations

9.

Khan, Sheraz Ali, Dongkoo Shon, Kichang Im, et al.. (2018). A Reliable Health Indicator for Fault Prognosis of Bearings. Sensors. 18(11). 3740–3740. 49 indexed citations

10.

Shon, Dongkoo, et al.. (2018). Emotional Stress State Detection Using Genetic Algorithm-Based Feature Selection on EEG Signals. International Journal of Environmental Research and Public Health. 15(11). 2461–2461. 101 indexed citations

11.

Im, Kichang, et al.. (2018). Improvement of Risk Assessment Using Numerical Analysis for an Offshore Plant Dipole Antenna. Symmetry. 10(12). 681–681. 1 indexed citations

12.

Shon, Dongkoo, et al.. (2014). An Implementation of a Video-Equipped Real-Time Fire Detection Algorithm Using GPGPU. Journal of the Korea Society of Computer and Information. 19(8). 1–10.

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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