Young-Min Kim

855 total citations
44 papers, 640 citations indexed

About

Young-Min Kim is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, Young-Min Kim has authored 44 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 16 papers in Biomedical Engineering and 11 papers in Surgery. Recurrent topics in Young-Min Kim's work include Cardiovascular Health and Disease Prevention (14 papers), Non-Invasive Vital Sign Monitoring (12 papers) and Heart Rate Variability and Autonomic Control (7 papers). Young-Min Kim is often cited by papers focused on Cardiovascular Health and Disease Prevention (14 papers), Non-Invasive Vital Sign Monitoring (12 papers) and Heart Rate Variability and Autonomic Control (7 papers). Young-Min Kim collaborates with scholars based in South Korea and United States. Young-Min Kim's co-authors include Woo Song Lee, Ki Hun Park, Young Bae Ryu, Su-Jin Park, Jaeuk U. Kim, Tae‐Heon Yang, Ji Young Park, Jang Hoon Kim, Dae Wook Kim and Hyung Jae Jeong and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Young-Min Kim

38 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young-Min Kim South Korea 12 175 147 131 113 110 44 640
Anna Lohning Australia 15 67 0.4× 143 1.0× 37 0.3× 112 1.0× 27 0.2× 34 613
Ashish Kumar India 10 25 0.1× 164 1.1× 78 0.6× 29 0.3× 36 0.3× 43 596
P. Vijayalakshmi India 8 77 0.4× 99 0.7× 38 0.3× 37 0.3× 16 0.1× 55 536
Lalit Sharma India 19 103 0.6× 271 1.8× 34 0.3× 42 0.4× 19 0.2× 62 932
Hadi Zare Marzouni Iran 11 74 0.4× 153 1.0× 15 0.1× 50 0.4× 58 0.5× 33 618
Abdullah R. Alzahrani Saudi Arabia 15 47 0.3× 147 1.0× 46 0.4× 74 0.7× 56 0.5× 67 585
Chen Bai China 11 187 1.1× 227 1.5× 74 0.6× 207 1.8× 7 0.1× 36 624
Fatima Noor Pakistan 14 126 0.7× 408 2.8× 223 1.7× 150 1.3× 31 0.3× 73 899
Yong Tan China 19 465 2.7× 478 3.3× 31 0.2× 197 1.7× 23 0.2× 45 1.1k
Andrea N. Faris United States 10 52 0.3× 159 1.1× 21 0.2× 33 0.3× 19 0.2× 11 653

Countries citing papers authored by Young-Min Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young-Min Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young-Min Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young-Min Kim. A scholar is included among the top collaborators of Young-Min 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 Young-Min Kim. Young-Min 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.
Lee, Nayeon, Kang‐Woo Lee, Jinwoo Kim, et al.. (2024). Detection of physical hazards from fruit processed products using hyperspectral imaging and prediction based on PLS-DA and logistic regression machine learning models. Applied Food Research. 4(2). 100506–100506. 7 indexed citations
2.
Koo, Jeong‐Hoi, et al.. (2024). Replication of Radial Pulses Using Magneto-Rheological Fluids. Micromachines. 15(8). 1010–1010.
3.
Lee, Keun Young, et al.. (2024). Prediction of Closed Quotient During Vocal Phonation using GRU-type Neural Network with Audio Signals. Journal of information and communication convergence engineering. 22(2). 145–152.
4.
5.
Moon, Kyung Hyun, Taekmin Kwon, Sang Hyeon Cheon, et al.. (2022). Mass size is a major predictor of hypertensive attack during surgery in patients with paraganglioma of retroperitoneum. Translational Cancer Research. 11(10). 3767–3773. 3 indexed citations
7.
Kim, Young-Min, et al.. (2020). Design and Evaluation of Enhanced Mock Circulatory Platform Simulating Cardiovascular Physiology for Medical Palpation Training. Applied Sciences. 10(16). 5433–5433. 11 indexed citations
8.
Koo, Jeong‐Hoi, et al.. (2020). Experimental Evaluation on the Effect of Electrode Configuration in Electrostatic Actuators for Increasing Vibrotactile Feedback Intensity. Applied Sciences. 10(15). 5375–5375. 4 indexed citations
9.
Yang, Tae‐Heon, et al.. (2019). A New Blood Pulsation Simulator Platform Incorporating Cardiovascular Physiology for Evaluating Radial Pulse Waveform. Journal of Healthcare Engineering. 2019. 1–9. 20 indexed citations
10.
Cho, Jung‐Hee, et al.. (2018). Pulse wave response characteristics for thickness and hardness of the cover layer in pulse sensors to measure radial artery pulse. BioMedical Engineering OnLine. 17(1). 118–118. 13 indexed citations
11.
Ku, Boncho, et al.. (2018). Short‐Term Efficacy of Pulsed Radiofrequency Thermal Stimulation on Acupoints for Chronic Low Back Pain: A Preliminary Study of a Randomized, Single‐Blinded, Placebo‐Controlled Trial. Evidence-based Complementary and Alternative Medicine. 2018(1). 4510909–4510909. 7 indexed citations
12.
Kim, Young-Min, et al.. (2014). Constitution-specific features of perspiration and skin visco-elasticity in SCM. BMC Complementary and Alternative Medicine. 14(1). 24–24. 6 indexed citations
13.
Choi, Seung Won, et al.. (2014). A Case of Pachydermodactyly. 19(4). 205–205. 2 indexed citations
14.
Kim, Jaeuk U., Boncho Ku, Young-Min Kim, et al.. (2013). The Concept of Sasang Health Index and Constitution-Based Health Assessment: An Integrative Model with Computerized Four Diagnosis Methods. Evidence-based Complementary and Alternative Medicine. 2013. 1–13. 14 indexed citations
15.
Nizamutdinova, Irina Tsoy, Young-Min Kim, Kun Ho Son, et al.. (2012). Tanshinone IIA inhibits TNF-α-mediated induction of VCAM-1 but not ICAM-1 through the regulation of GATA-6 and IRF-1. International Immunopharmacology. 14(4). 650–657. 25 indexed citations
16.
Kim, Jaeuk U., et al.. (2011). Novel Diagnostic Model for the Deficient and Excess Pulse Qualities. Evidence-based Complementary and Alternative Medicine. 2012. 1–11. 18 indexed citations
17.
Ryu, Young Bae, Su-Jin Park, Young-Min Kim, et al.. (2010). SARS-CoV 3CLpro inhibitory effects of quinone-methide triterpenes from Tripterygium regelii. Bioorganic & Medicinal Chemistry Letters. 20(6). 1873–1876. 153 indexed citations
18.
Oh, Joo Suk, et al.. (2009). The usefulness of the semiquantitative procalcitonin test kit as a guideline for starting antibiotic administration. The American Journal of Emergency Medicine. 27(7). 859–863. 22 indexed citations
19.
Kim, Young-Min, Tae Woong Chung, Woong Yoon, et al.. (2007). Efficacy of US-guided Hydrostatic Reduction in Children with Intussusception. ULTRASONOGRAPHY. 26(3). 113–118. 1 indexed citations
20.
Kim, Young-Min, et al.. (1996). A Study on the Shape of the Proximal Femur for Designing Korean-type of the Femoral Stem. The Journal of the Korean Orthopaedic Association. 31(5). 949–949. 1 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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