Seung Eel Oh

543 total citations
20 papers, 384 citations indexed

About

Seung Eel Oh is a scholar working on Biomedical Engineering, Orthopedics and Sports Medicine and Surgery. According to data from OpenAlex, Seung Eel Oh has authored 20 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 5 papers in Orthopedics and Sports Medicine and 4 papers in Surgery. Recurrent topics in Seung Eel Oh's work include Advanced Chemical Sensor Technologies (3 papers), Sports Performance and Training (3 papers) and Sports Dynamics and Biomechanics (3 papers). Seung Eel Oh is often cited by papers focused on Advanced Chemical Sensor Technologies (3 papers), Sports Performance and Training (3 papers) and Sports Dynamics and Biomechanics (3 papers). Seung Eel Oh collaborates with scholars based in South Korea, United States and Canada. Seung Eel Oh's co-authors include Joung Hwan Mun, Ahnryul Choi, Taeyong Sim, Tae Hyong Kim, Reza Molavi, Shahriar Mirabbasi, Jonghoon Kim, Deukhyoun Heo, Pawan Agarwal and Ki-Sun Kim and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Journal of Biomechanics.

In The Last Decade

Seung Eel Oh

20 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seung Eel Oh South Korea 9 235 81 81 50 46 20 384
Ikram Chairi Morocco 6 45 0.2× 85 1.0× 42 0.5× 15 0.3× 17 0.4× 10 239
Jun‐Seok Kim South Korea 12 185 0.8× 17 0.2× 37 0.5× 20 0.4× 6 0.1× 44 500
Jeong-Woo Seo South Korea 9 79 0.3× 59 0.7× 22 0.3× 5 0.1× 12 0.3× 44 293
Kathryn M. Taylor United States 13 86 0.4× 10 0.1× 153 1.9× 15 0.3× 6 0.1× 36 509
Jin‐Hyun Park South Korea 10 31 0.1× 14 0.2× 16 0.2× 45 0.9× 11 0.2× 60 360
Federico Parisi Italy 9 156 0.7× 68 0.8× 3 0.0× 30 0.6× 20 0.4× 19 366
Noritaka Sato Japan 10 123 0.5× 47 0.6× 28 0.3× 16 0.3× 5 0.1× 70 348
Shuo Xu China 6 98 0.4× 7 0.1× 8 0.1× 21 0.4× 21 0.5× 22 451
Mokhtar Attari Algeria 10 176 0.7× 8 0.1× 4 0.0× 103 2.1× 16 0.3× 36 313

Countries citing papers authored by Seung Eel Oh

Since Specialization
Citations

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

Fields of papers citing papers by Seung Eel Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung Eel Oh. 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 Seung Eel Oh. The network helps show where Seung Eel Oh may publish in the future.

Co-authorship network of co-authors of Seung Eel Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Seung Eel Oh. A scholar is included among the top collaborators of Seung Eel Oh 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 Seung Eel Oh. Seung Eel Oh 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.
Oh, Seung Eel, et al.. (2025). Food Safety Distribution Systems Using Private Blockchain: Ensuring Traceability and Data Integrity Verification. Foods. 14(8). 1405–1405. 2 indexed citations
2.
Oh, Seung Eel, et al.. (2024). Development of Cracked Egg Detection Device Using Electric Discharge Phenomenon. Foods. 13(18). 2989–2989. 2 indexed citations
3.
Oh, Seung Eel, et al.. (2024). A Simulation-Based Approach for Evaluating the Effectiveness of Robotic Automation Systems in HMR Product Loading. Foods. 13(19). 3121–3121. 2 indexed citations
4.
Lee, Seung Hyun, et al.. (2024). Conceptual Design of Simulation-Based Approach for Robotic Automation Systems: A Case Study of Tray Transporting. Processes. 12(12). 2791–2791. 2 indexed citations
5.
Jung, Won Seok, et al.. (2023). Variational autoencoder-based estimation of chronological age and changes in morphological features of teeth. Scientific Reports. 13(1). 704–704. 8 indexed citations
6.
Kim, Tae Hyong, Seung‐Hoon Baek, Ki Hyun Kwon, & Seung Eel Oh. (2023). Hierarchical Machine Learning-Based Growth Prediction Model of Panax ginseng Sprouts in a Hydroponic Environment. Plants. 12(22). 3867–3867. 5 indexed citations
7.
Kim, Tae Hyong, et al.. (2023). Optimization of number of wireless temperature sensors using clustering algorithm for deep learning algorithm-based Kimchi quality prediction. Journal of Food Engineering. 367. 111883–111883. 4 indexed citations
8.
Kim, Tae Hyong, et al.. (2022). Egg Freshness Prediction Model Using Real-Time Cold Chain Storage Condition Based on Transfer Learning. Foods. 11(19). 3082–3082. 20 indexed citations
9.
Yoon, Sun‐Jung, et al.. (2020). Automatic multi-class intertrochanteric femur fracture detection from CT images based on AO/OTA classification using faster R-CNN-BO method. Journal of Applied Biomedicine. 18(4). 97–105. 9 indexed citations
10.
Jung, Young Sung, et al.. (2019). Developing and Validating a Method for Separating Flavonoid Isomers in Common Buckwheat Sprouts Using HPLC-PDA. Foods. 8(11). 549–549. 27 indexed citations
11.
Agarwal, Pawan, Suman P. Sah, Reza Molavi, et al.. (2017). Switched Substrate-Shield-Based Low-Loss CMOS Inductors for Wide Tuning Range VCOs. IEEE Transactions on Microwave Theory and Techniques. 65(8). 2964–2976. 46 indexed citations
12.
Oh, Seung Eel, et al.. (2016). Improving the ground reaction force prediction accuracy using one-axis plantar pressure: Expansion of input variable for neural network. Journal of Biomechanics. 49(14). 3153–3161. 14 indexed citations
13.
Oh, Seung Eel, et al.. (2015). Comparison of Three Normalization Methods for 3D Joint Moment in the Asymmetric Rotational Human Movements in Golf Swing Analysis. Journal of Biosystems Engineering. 40(3). 289–295. 2 indexed citations
14.
Sim, Taeyong, et al.. (2015). Predicting Complete Ground Reaction Forces and Moments During Gait With Insole Plantar Pressure Information Using a Wavelet Neural Network. Journal of Biomechanical Engineering. 137(9). 45 indexed citations
15.
Oh, Seung Eel, et al.. (2015). Estimation of the spinal twisting angle using inertial measurement units during a rod derotation surgery in idiopathic scoliosis patients. Journal of Applied Biomedicine. 13(2). 143–159. 3 indexed citations
16.
Oh, Seung Eel, et al.. (2014). Prediction of gait speed from plantar pressure using artificial neural networks. Expert Systems with Applications. 41(16). 7398–7405. 41 indexed citations
17.
Choi, Ahnryul, et al.. (2013). Upper torso and pelvis linear velocity during the downswing of elite golfers. BioMedical Engineering OnLine. 12(1). 13–13. 21 indexed citations
18.
Oh, Seung Eel, Ahnryul Choi, & Joung Hwan Mun. (2013). Prediction of ground reaction forces during gait based on kinematics and a neural network model. Journal of Biomechanics. 46(14). 2372–2380. 127 indexed citations
19.
Seo, Eun Ji, et al.. (2013). Prediction of Cobb-angle for Monitoring System in Adolescent Girls with Idiopathic Scoliosis using Multiple Regression Analysis. Journal of Biosystems Engineering. 38(1). 64–71. 2 indexed citations
20.
Oh, Seung Eel, et al.. (2006). The Analysis of Slice-Induced Factors in Golf Swing Using a 3D Motion Capture System. Key engineering materials. 321-323. 1094–1097. 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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