Yong‐Hwan Kim

801 total citations
35 papers, 574 citations indexed

About

Yong‐Hwan Kim is a scholar working on Epidemiology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yong‐Hwan Kim has authored 35 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Cognitive Neuroscience and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yong‐Hwan Kim's work include Functional Brain Connectivity Studies (7 papers), Stroke Rehabilitation and Recovery (6 papers) and Acute Ischemic Stroke Management (6 papers). Yong‐Hwan Kim is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Stroke Rehabilitation and Recovery (6 papers) and Acute Ischemic Stroke Management (6 papers). Yong‐Hwan Kim collaborates with scholars based in South Korea, United States and Puerto Rico. Yong‐Hwan Kim's co-authors include Dong‐Wha Kang, Eun‐Jae Lee, Namkug Kim, Jong‐Hwan Lee, JungHoe Kim, Dongho Kim, Yuka Sasaki, T. Watanabe, Hwa Jung Kim and Soo-Won Kim and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Yong‐Hwan Kim

33 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong‐Hwan Kim South Korea 14 146 129 123 87 72 35 574
Deepthi Rajashekar Canada 14 118 0.8× 134 1.0× 126 1.0× 64 0.7× 78 1.1× 35 636
Yulin Wang China 17 63 0.4× 118 0.9× 356 2.9× 50 0.6× 58 0.8× 70 814
Jungsoo Lee South Korea 14 58 0.4× 156 1.2× 172 1.4× 10 0.1× 72 1.0× 66 618
Meiping Huang China 14 118 0.8× 53 0.4× 215 1.7× 156 1.8× 131 1.8× 86 686
Adrienne Kline Canada 8 43 0.3× 63 0.5× 53 0.4× 15 0.2× 45 0.6× 20 415
Xianzheng Sha China 11 29 0.2× 40 0.3× 71 0.6× 39 0.4× 46 0.6× 28 413
Tim Bonnici Bulgaria 4 19 0.1× 133 1.0× 78 0.6× 28 0.3× 122 1.7× 7 469
Yifei Zhang China 12 46 0.3× 251 1.9× 58 0.5× 52 0.6× 98 1.4× 37 707
S. Dinesh Nayak India 7 188 1.3× 280 2.2× 13 0.1× 62 0.7× 34 0.5× 16 612

Countries citing papers authored by Yong‐Hwan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Hwan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong‐Hwan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Hwan Kim. A scholar is included among the top collaborators of Yong‐Hwan 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 Yong‐Hwan Kim. Yong‐Hwan 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.
Namgung, Eun, Yong‐Hwan Kim, Eun‐Jae Lee, et al.. (2024). Customized Visual Discrimination Digital Therapy According to Visual Field Defects in Chronic Stroke Patients. Journal of Clinical Neurology. 20(5). 509–509. 1 indexed citations
2.
Namgung, Eun, Eun‐Jae Lee, Yong‐Hwan Kim, & Dong‐Wha Kang. (2024). White Matter Structural Connectivity Associated With Visual Field Recovery After Stroke. Journal of Stroke. 26(1). 116–120. 2 indexed citations
3.
Namgung, Eun, Yong‐Hwan Kim, Eun‐Jae Lee, et al.. (2024). Functional connectivity interacts with visual perceptual learning for visual field recovery in chronic stroke. Scientific Reports. 14(1). 3247–3247. 4 indexed citations
4.
5.
Lee, Eun‐Jae, Dongho Kim, Yong‐Hwan Kim, et al.. (2023). Digital Therapeutics With Visual Discrimination Training for Cortical Blindness in Patients With Chronic Stroke. Journal of Stroke. 25(3). 409–412. 5 indexed citations
6.
Jeong, Soo, Eun‐Jae Lee, Yong‐Hwan Kim, et al.. (2022). Deep Learning Approach Using Diffusion-Weighted Imaging to Estimate the Severity of Aphasia in Stroke Patients. Journal of Stroke. 24(1). 108–117. 7 indexed citations
7.
Kim, Bum Joon, Yong‐Hwan Kim, Eun‐Jae Lee, et al.. (2021). Diagnosis of Acute Central Dizziness With Simple Clinical Information Using Machine Learning. Frontiers in Neurology. 12. 691057–691057. 12 indexed citations
8.
Chang, Jun Young, Ji Sung Lee, Eun‐Jae Lee, et al.. (2020). Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression. Journal of Stroke. 22(3). 403–406. 22 indexed citations
9.
Kim, Hyunjin, Young In Lee, Yong‐Hwan Kim, et al.. (2020). Deep Learning-Based Method to Differentiate Neuromyelitis Optica Spectrum Disorder From Multiple Sclerosis. Frontiers in Neurology. 11. 599042–599042. 32 indexed citations
10.
Kim, Yong‐Hwan, A-Hyun Cho, Dongho Kim, et al.. (2019). Early Functional Connectivity Predicts Recovery from Visual Field Defects after Stroke. Journal of Stroke. 21(2). 207–216. 13 indexed citations
11.
Kim, Yong‐Hwan & Yushin Kim. (2019). Trend Analysis of Healthcare Research in Korea using Topic Modeling. Journal of the Korean society for Wellness. 14(1). 253–262. 6 indexed citations
12.
Kim, Hyungtak, et al.. (2018). Effects of digital smart glove system on motor recovery of upper extremity in subacute stroke patients. Annals of Physical and Rehabilitation Medicine. 61. e28–e28. 5 indexed citations
13.
Kim, Yong‐Hwan, et al.. (2017). Fitness as a determinant of arterial stiffness in healthy adult men: a cross-sectional study. The Journal of Sports Medicine and Physical Fitness. 58(1-2). 150–156. 9 indexed citations
14.
Kim, Yong‐Hwan & Haemi Jee. (2017). Influences of body mass index and physical activity on hypertension and stroke in Korean adult males: 10-year longitudinal study. Physical Activity and Nutrition. 21(2). 16–22. 3 indexed citations
15.
Lee, Eun‐Jae, Yong‐Hwan Kim, Namkug Kim, & Dong‐Wha Kang. (2017). Deep into the Brain: Artificial Intelligence in Stroke Imaging. Journal of Stroke. 19(3). 277–285. 163 indexed citations
16.
Lim, Jisun, Seungun Lee, Hyein Ju, et al.. (2017). Valproic acid enforces the priming effect of sphingosine-1 phosphate on human mesenchymal stem cells. International Journal of Molecular Medicine. 40(3). 739–747. 23 indexed citations
17.
Lim, Jisun, Yong‐Hwan Kim, Jinbeom Heo, et al.. (2016). Priming with ceramide-1 phosphate promotes the therapeutic effect of mesenchymal stem/stromal cells on pulmonary artery hypertension. Biochemical and Biophysical Research Communications. 473(1). 35–41. 14 indexed citations
18.
Kim, Yong‐Hwan, Dong‐Wha Kang, Dongho Kim, et al.. (2015). Real-Time Strategy Video Game Experience and Visual Perceptual Learning. Journal of Neuroscience. 35(29). 10485–10492. 53 indexed citations
19.
Shon, Jin Gon, Yong‐Hwan Kim, & Youn‐Hee Han. (2013). Local Information-based Betweenness Centrality to Identify Important Nodes in Social Networks. 2(5). 209–216. 3 indexed citations
20.

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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