Mun Sang Kim

769 total citations
32 papers, 440 citations indexed

About

Mun Sang Kim is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Mun Sang Kim has authored 32 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 10 papers in Biomedical Engineering and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Mun Sang Kim's work include Gait Recognition and Analysis (7 papers), Indoor and Outdoor Localization Technologies (6 papers) and Human Pose and Action Recognition (6 papers). Mun Sang Kim is often cited by papers focused on Gait Recognition and Analysis (7 papers), Indoor and Outdoor Localization Technologies (6 papers) and Human Pose and Action Recognition (6 papers). Mun Sang Kim collaborates with scholars based in South Korea and United States. Mun Sang Kim's co-authors include Deok-Won Lee, Sanghyub Lee, Kyoobin Lee, Soo Hyun Kim, Yoon Keun Kwak, Joon Woong Lee, In So Kweon, Dong Hyun Ahn, Jae‐Bok Song and Mun‐Taek Choi and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Mun Sang Kim

32 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mun Sang Kim South Korea 11 208 189 78 64 59 32 440
Gu‐Min Jeong South Korea 14 228 1.1× 215 1.1× 183 2.3× 68 1.1× 43 0.7× 74 639
Iain Murray Australia 14 195 0.9× 113 0.6× 104 1.3× 49 0.8× 53 0.9× 100 569
Michael Hardegger Switzerland 12 364 1.8× 168 0.9× 167 2.1× 44 0.7× 77 1.3× 14 670
Yi Han China 12 171 0.8× 124 0.7× 167 2.1× 40 0.6× 25 0.4× 47 523
Angelica Muñoz-Meléndez Mexico 9 175 0.8× 134 0.7× 35 0.4× 49 0.8× 33 0.6× 24 443
Phuc Huu Truong South Korea 9 131 0.6× 127 0.7× 117 1.5× 35 0.5× 43 0.7× 18 331
Fangmin Sun China 10 350 1.7× 188 1.0× 113 1.4× 104 1.6× 38 0.6× 33 774
Yacine Amirat France 6 296 1.4× 403 2.1× 70 0.9× 109 1.7× 13 0.2× 8 641
M. Skubic United States 14 197 0.9× 247 1.3× 29 0.4× 162 2.5× 46 0.8× 32 660
Kerem Altun Türkiye 6 208 1.0× 312 1.7× 85 1.1× 163 2.5× 10 0.2× 12 559

Countries citing papers authored by Mun Sang Kim

Since Specialization
Citations

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

Fields of papers citing papers by Mun Sang Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mun Sang Kim. 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 Mun Sang Kim. The network helps show where Mun Sang Kim may publish in the future.

Co-authorship network of co-authors of Mun Sang Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Mun Sang Kim. A scholar is included among the top collaborators of Mun Sang Kim 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 Mun Sang Kim. Mun Sang Kim 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.
Kim, Mun Sang, et al.. (2024). A Robust Indoor Pedestrian Localization Approach Against Human Body Shadowing for UWB-Enabled Smartphones. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 7 indexed citations
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Kim, Mun Sang, et al.. (2023). Feasibility of Smartphone-Attached UWB Tag for Daily life Indoor Pedestrian Tracking. 1–4. 2 indexed citations
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Lee, Sanghyub, Deok-Won Lee, & Mun Sang Kim. (2023). A Deep Learning-Based Semantic Segmentation Model Using MCNN and Attention Layer for Human Activity Recognition. Sensors. 23(4). 2278–2278. 8 indexed citations
6.
Lee, Sanghyub, et al.. (2023). Hybrid Deep Neural Network Framework Combining Skeleton and Gait Features for Pathological Gait Recognition. Bioengineering. 10(10). 1133–1133. 3 indexed citations
7.
Kim, Mun Sang, et al.. (2022). Noise-Robust Multimodal Audio-Visual Speech Recognition System for Speech-Based Interaction Applications. Sensors. 22(20). 7738–7738. 7 indexed citations
8.
Kim, Mun Sang, et al.. (2022). Human–Robot Labeling Framework to Construct Multitype Real-World Datasets. IEEE Access. 10. 131166–131180. 2 indexed citations
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Kim, Mun Sang, et al.. (2022). A Low-Cost Foot-Placed UWB and IMU Fusion-Based Indoor Pedestrian Tracking System for IoT Applications. Sensors. 22(21). 8160–8160. 19 indexed citations
12.
Kim, Johanna Inhyang, et al.. (2021). A Novel Robot-Assisted Kinematic Measure for Children with Attention-Deficit/Hyperactivity Disorder: A Preliminary Study. Psychiatry Investigation. 18(7). 645–651. 4 indexed citations
13.
Kim, Mun Sang, et al.. (2021). Lipreading Architecture Based on Multiple Convolutional Neural Networks for Sentence-Level Visual Speech Recognition. Sensors. 22(1). 72–72. 26 indexed citations
14.
Kim, Mun Sang, et al.. (2021). A Novel Affinity Enhancing Method for Human Robot Interaction - Preliminary Study with Proactive Docent Avatar. 2021 21st International Conference on Control, Automation and Systems (ICCAS). 1007–1011. 3 indexed citations
15.
Kim, Mun Sang, et al.. (2021). A UWB-Driven Self-Actuated Projector Platform for Interactive Augmented Reality Applications. Applied Sciences. 11(6). 2871–2871. 15 indexed citations
16.
Lee, Sanghyub, et al.. (2021). Deep Learning-Based Multimodal Abnormal Gait Classification Using a 3D Skeleton and Plantar Foot Pressure. IEEE Access. 9. 161576–161589. 22 indexed citations
17.
Lee, Deok-Won, et al.. (2020). Feature Extraction Using an RNN Autoencoder for Skeleton-Based Abnormal Gait Recognition. IEEE Access. 8. 19196–19207. 98 indexed citations
18.
Kim, Geon Ha, Seun Jeon, Kiho Im, et al.. (2013). P2–323: Structural brain changes after robot‐assisted cognitive training in the elderly: A single‐blind randomized controlled trial. Alzheimer s & Dementia. 9(4S_Part_12). 5 indexed citations
19.
Kim, Soo Hyun, et al.. (2003). Double-track mobile robot for hazardous environment applications. Advanced Robotics. 17(5). 447–459. 61 indexed citations
20.
Lee, Joon Woong, Mun Sang Kim, & In So Kweon. (2002). A Kalman filter based visual tracking algorithm for an object moving in 3D. 1. 342–347. 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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