Kyeong-Beom Park

1.1k total citations · 1 hit paper
20 papers, 784 citations indexed

About

Kyeong-Beom Park is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering. According to data from OpenAlex, Kyeong-Beom Park has authored 20 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Human-Computer Interaction and 7 papers in Control and Systems Engineering. Recurrent topics in Kyeong-Beom Park's work include Augmented Reality Applications (9 papers), Gaze Tracking and Assistive Technology (4 papers) and Virtual Reality Applications and Impacts (4 papers). Kyeong-Beom Park is often cited by papers focused on Augmented Reality Applications (9 papers), Gaze Tracking and Assistive Technology (4 papers) and Virtual Reality Applications and Impacts (4 papers). Kyeong-Beom Park collaborates with scholars based in South Korea and United States. Kyeong-Beom Park's co-authors include Jae Yeol Lee, Sung Ho Choi, Yalda Ghasemi, Heejin Jeong, Minseok Kim, Minseok Kim, Jae Yeol Lee and Sungho Choi and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Kyeong-Beom Park

20 papers receiving 764 citations

Hit Papers

An integrated mixed reality system for safety-aware human... 2021 2026 2022 2024 2021 50 100 150

Peers

Kyeong-Beom Park
Sung Ho Choi South Korea
Dan Song China
Igi Ardiyanto Indonesia
Shinjiro Sueda United States
Xiaoli Zhang United States
Sung Ho Choi South Korea
Kyeong-Beom Park
Citations per year, relative to Kyeong-Beom Park Kyeong-Beom Park (= 1×) peers Sung Ho Choi

Countries citing papers authored by Kyeong-Beom Park

Since Specialization
Citations

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

Fields of papers citing papers by Kyeong-Beom Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyeong-Beom Park

This figure shows the co-authorship network connecting the top 25 collaborators of Kyeong-Beom Park. A scholar is included among the top collaborators of Kyeong-Beom 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 Kyeong-Beom Park. Kyeong-Beom 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, Kyeong-Beom, Sung Ho Choi, & Jae Yeol Lee. (2023). Self-training based augmented reality for robust 3D object registration and task assistance. Expert Systems with Applications. 238. 122331–122331. 14 indexed citations
2.
Choi, Sungho, Kyeong-Beom Park, & Jae Yeol Lee. (2023). SwinResNet: Volumetric Medical Image Segmentation by Fusing Swin Transformer and ResNet. 28(3). 282–293. 1 indexed citations
3.
Ghasemi, Yalda, Heejin Jeong, Kyeong-Beom Park, Sung Ho Choi, & Jae Yeol Lee. (2023). Evaluating User Interactions in Wearable Extended Reality: Modeling, Online Remote Survey, and In-Lab Experimental Methods. IEEE Access. 11. 77856–77872. 4 indexed citations
4.
Park, Kyeong-Beom & Jae Yeol Lee. (2022). TCU-Net: Transformer and Convolutional Neural Network-Based Advanced U-Net for Concealed Object Detection. IEEE Access. 10. 122347–122360. 3 indexed citations
5.
Ghasemi, Yalda, Heejin Jeong, Sung Ho Choi, Kyeong-Beom Park, & Jae Yeol Lee. (2022). Deep learning-based object detection in augmented reality: A systematic review. Computers in Industry. 139. 103661–103661. 110 indexed citations
6.
Park, Kyeong-Beom & Jae Yeol Lee. (2022). Novel industrial surface-defect detection using deep nested convolutional network with attention and guidance modules. Journal of Computational Design and Engineering. 9(6). 2466–2482. 14 indexed citations
7.
Park, Kyeong-Beom & Jae Yeol Lee. (2022). SwinE-Net: hybrid deep learning approach to novel polyp segmentation using convolutional neural network and Swin Transformer. Journal of Computational Design and Engineering. 9(2). 616–632. 75 indexed citations
8.
Ghasemi, Yalda, et al.. (2022). A Comparative Evaluation of XR-based Remote Collaboration Platforms: A Case Study. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 66(1). 992–992. 1 indexed citations
9.
Park, Kyeong-Beom, et al.. (2022). Indirect Robot Manipulation using Eye Gazing and Head Movement For Future of Work in Mixed Reality. 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 483–484. 3 indexed citations
10.
Park, Kyeong-Beom, et al.. (2022). An XR-based Approach to Safe Human-Robot Collaboration. 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 481–482. 4 indexed citations
11.
Park, Kyeong-Beom, et al.. (2021). Hands-Free Human–Robot Interaction Using Multimodal Gestures and Deep Learning in Wearable Mixed Reality. IEEE Access. 9. 55448–55464. 68 indexed citations
12.
Kim, Minseok, Sung Ho Choi, Kyeong-Beom Park, & Jae Yeol Lee. (2021). A Hybrid Approach to Industrial Augmented Reality Using Deep Learning-Based Facility Segmentation and Depth Prediction. Sensors. 21(1). 307–307. 16 indexed citations
13.
Choi, Sung Ho, et al.. (2021). An integrated mixed reality system for safety-aware human-robot collaboration using deep learning and digital twin generation. Robotics and Computer-Integrated Manufacturing. 73. 102258–102258. 161 indexed citations breakdown →
14.
Park, Kyeong-Beom, Sung Ho Choi, & Jae Yeol Lee. (2020). M-GAN: Retinal Blood Vessel Segmentation by Balancing Losses Through Stacked Deep Fully Convolutional Networks. IEEE Access. 8. 146308–146322. 98 indexed citations
15.
Park, Kyeong-Beom, Sung Ho Choi, Minseok Kim, & Jae Yeol Lee. (2020). Deep learning-based mobile augmented reality for task assistance using 3D spatial mapping and snapshot-based RGB-D data. Computers & Industrial Engineering. 146. 106585–106585. 44 indexed citations
16.
Park, Kyeong-Beom, Minseok Kim, Sung Ho Choi, & Jae Yeol Lee. (2019). Deep learning-based smart task assistance in wearable augmented reality. Robotics and Computer-Integrated Manufacturing. 63. 101887–101887. 108 indexed citations
17.
Kim, Minseok, Sung Ho Choi, Kyeong-Beom Park, & Jae Yeol Lee. (2019). User Interactions for Augmented Reality Smart Glasses: A Comparative Evaluation of Visual Contexts and Interaction Gestures. Applied Sciences. 9(15). 3171–3171. 34 indexed citations
18.
Kim, Minseok, Kyeong-Beom Park, Sung Ho Choi, & Jae Yeol Lee. (2019). Inside-reachable and see-through augmented reality Shell for 3D visualization and tangible interaction. Multimedia Tools and Applications. 79(9-10). 5941–5963. 7 indexed citations
19.
Park, Kyeong-Beom & Jae Yeol Lee. (2018). New design and comparative analysis of smartwatch metaphor-based hand gestures for 3D navigation in mobile virtual reality. Multimedia Tools and Applications. 78(5). 6211–6231. 10 indexed citations
20.
Park, Kyeong-Beom & Jae Yeol Lee. (2016). Comparative Study on the Interface and Interaction for Manipulating 3D Virtual Objects in a Virtual Reality Environment. 21(1). 20–30. 9 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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