Yongmin Kim

470 total citations
34 papers, 366 citations indexed

About

Yongmin Kim is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Yongmin Kim has authored 34 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Control and Systems Engineering. Recurrent topics in Yongmin Kim's work include Medical Image Segmentation Techniques (5 papers), Ultrasound Imaging and Elastography (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). Yongmin Kim is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Ultrasound Imaging and Elastography (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). Yongmin Kim collaborates with scholars based in United States, South Korea and Singapore. Yongmin Kim's co-authors include David R. Haynor, Vikram Chalana, Li-Yong Zhou, David G. Castner, Thomas C. Winter, E. Gunawan, Michael R. Neuman, Yifan Chen, Kay‐Soon Low and H Kim and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Circuits and Systems for Video Technology and Annals of Biomedical Engineering.

In The Last Decade

Yongmin Kim

32 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongmin Kim United States 9 130 99 83 44 36 34 366
André Bleau Canada 5 64 0.5× 186 1.9× 97 1.2× 12 0.3× 35 1.0× 6 376
Xiaoyan Chen China 12 97 0.7× 79 0.8× 26 0.3× 10 0.2× 46 1.3× 59 458
Franck Marzani France 14 113 0.9× 155 1.6× 74 0.9× 37 0.8× 127 3.5× 57 569
Zhe Jiang China 13 228 1.8× 132 1.3× 238 2.9× 9 0.2× 25 0.7× 22 498
Fabrice Mériaudeau France 9 99 0.8× 245 2.5× 95 1.1× 10 0.2× 45 1.3× 22 416
Bin Feng China 13 180 1.4× 411 4.2× 24 0.3× 17 0.4× 95 2.6× 48 621
R.N. Czerwinski United States 7 56 0.4× 233 2.4× 98 1.2× 6 0.1× 72 2.0× 13 352
C. Chinrungrueng Thailand 7 46 0.4× 119 1.2× 45 0.5× 7 0.2× 98 2.7× 22 298
Jin Zheng China 8 64 0.5× 59 0.6× 36 0.4× 6 0.1× 20 0.6× 18 349
José Silvestre Silva Portugal 12 84 0.6× 144 1.5× 144 1.7× 24 0.5× 60 1.7× 48 504

Countries citing papers authored by Yongmin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yongmin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongmin Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yongmin Kim. A scholar is included among the top collaborators of Yongmin 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 Yongmin Kim. Yongmin 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, Yong-Bin, Yongmin Kim, & In‐Sik Choi. (2022). State Classification of Wind Turbine Blade using Convolutional Neural Network. The Journal of Korean Institute of Information Technology. 20(4). 89–97. 1 indexed citations
2.
Kim, Yongmin, et al.. (2021). Abnormal Detection for Industrial Control Systems Using Ensemble Recurrent Neural Networks Model. Information Security and Cryptology. 31(3). 401–410. 1 indexed citations
3.
Kim, Yongmin, et al.. (2021). Comparative Evaluation of Kerma Area Product and New Fundamental of Kerma Area Product on Radiography. Bangsaseon gisul gwahak/Journal of radiological science and technology. 44(1). 53–58. 1 indexed citations
4.
Cho, Seonghee, Joongho Ahn, Taehoon Kim, et al.. (2017). SNR enhancement for catheter based intravascular photoacoustic/ultrasound imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10064. 100643P–100643P. 1 indexed citations
5.
Lee, Mi Hee, et al.. (2015). Effectiveness of Using the TIR Band in Landsat 8 Image Classification. Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography. 33(3). 203–209. 6 indexed citations
6.
Kim, Yongmin, et al.. (2011). Fault Detection and Diagnosis of Induction Motors using LPC and DTW Methods. Journal of the Korea Society of Computer and Information. 16(3). 141–147. 2 indexed citations
7.
Kang, Myeongsu, et al.. (2011). Feature Vector Extraction and Classification Performance Comparison According to Various Settings of Classifiers for Fault Detection and Classification of Induction Motor. The Journal of the Acoustical Society of Korea. 30(8). 446–460. 2 indexed citations
8.
Shamdasani, Vijay, et al.. (2009). Real-Time 3-D Ultrasound Scan Conversion Using a Multicore Processor. IEEE Transactions on Information Technology in Biomedicine. 13(4). 571–574. 8 indexed citations
9.
Kim, Yongmin & Jaehong Park. (2008). A Realization of Reduced-Order Detection Filters. International Journal of Control Automation and Systems. 6(1). 142–148. 5 indexed citations
10.
Byun, Young-Gi, et al.. (2007). A Study on Forest Fire Detection from MODIS Data Using Local Spatial Association Analysis. 15(1). 23–29. 1 indexed citations
11.
Kim, Yongmin. (2007). Bioengineering, translational research, and technology commercialization. 1–2. 1 indexed citations
12.
Neuman, Michael R. & Yongmin Kim. (2006). The Undergraduate Biomedical Engineering Curriculum: Devices and Instruments. Annals of Biomedical Engineering. 34(2). 226–231. 8 indexed citations
13.
Pathak, Dev S., et al.. (2004). 3D prostate shape modeling from sparsely acquired 2D images using deformable models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5367. 524–524. 5 indexed citations
14.
Kim, Yongmin, et al.. (2002). Boundary macroblock padding in MPEG-4 video decoding using a graphics coprocessor. IEEE Transactions on Circuits and Systems for Video Technology. 12(8). 719–723. 3 indexed citations
15.
Haynor, David R., et al.. (2001). A fast calibration method for 3-D tracking of ultrasound images using a spatial localizer. Ultrasound in Medicine & Biology. 27(9). 1219–1229. 82 indexed citations
16.
Chalana, Vikram, et al.. (1996). Automatic fetal head measurements from sonographic images. Academic Radiology. 3(8). 628–635. 50 indexed citations
17.
Chalana, Vikram, et al.. (1995). <title>Integrating region growing and edge detection using regularization</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2434. 262–271. 6 indexed citations
18.
Kim, Jihong & Yongmin Kim. (1995). Efficient 2-D Convolution Algorithm with the Single-Data Multiple Kernel Approach. Graphical Models and Image Processing. 57(2). 175–182. 3 indexed citations
19.
Kim, Yongmin, et al.. (1989). Algorithm For Automatic Road Recognition On Digitized Map Images. Optical Engineering. 28(9). 2 indexed citations
20.
Nelson, Alan C., et al.. (1988). 3-D Display Of Magnetic Resonance Imaging Of The Spine. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 902. 103–103. 4 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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