Hyug‐Gi Kim

615 total citations
41 papers, 386 citations indexed

About

Hyug‐Gi Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Hyug‐Gi Kim has authored 41 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 11 papers in Physiology. Recurrent topics in Hyug‐Gi Kim's work include Alzheimer's disease research and treatments (7 papers), Dementia and Cognitive Impairment Research (7 papers) and Advanced MRI Techniques and Applications (7 papers). Hyug‐Gi Kim is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Dementia and Cognitive Impairment Research (7 papers) and Advanced MRI Techniques and Applications (7 papers). Hyug‐Gi Kim collaborates with scholars based in South Korea, United States and United Kingdom. Hyug‐Gi Kim's co-authors include Kyung Mi Lee, Geon‐Ho Jahng, Eui Jong Kim, Chang‐Woo Ryu, Hak Young Rhee, Soonchan Park, Jin San Lee, Soo Yeol Lee, Sun Jung Rhee and Yi Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Hyug‐Gi Kim

39 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyug‐Gi Kim South Korea 10 148 75 56 53 50 41 386
Maria Gabriela Figueiró Longo United States 14 291 2.0× 68 0.9× 24 0.4× 61 1.2× 38 0.8× 34 466
Hasyma Abu Hassan Malaysia 10 173 1.2× 37 0.5× 112 2.0× 17 0.3× 42 0.8× 37 416
In Young Hyun South Korea 10 95 0.6× 68 0.9× 18 0.3× 16 0.3× 28 0.6× 29 303
Nicholas J. Ferris Australia 11 175 1.2× 12 0.2× 64 1.1× 59 1.1× 34 0.7× 27 402
C C Meltzer United States 6 202 1.4× 61 0.8× 67 1.2× 39 0.7× 63 1.3× 10 460
Hiroyuki Tatekawa Japan 17 355 2.4× 14 0.2× 21 0.4× 35 0.7× 46 0.9× 43 659
Francesca Di Giuliano Italy 14 196 1.3× 47 0.6× 75 1.3× 115 2.2× 54 1.1× 65 531
Kartheeban Nagenthiraja Denmark 7 92 0.6× 76 1.0× 47 0.8× 64 1.2× 40 0.8× 12 316
Maria Ricci Italy 12 122 0.8× 69 0.9× 27 0.5× 45 0.8× 67 1.3× 41 365
Sébastien Verclytte France 14 265 1.8× 44 0.6× 56 1.0× 74 1.4× 55 1.1× 27 553

Countries citing papers authored by Hyug‐Gi Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hyug‐Gi Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyug‐Gi Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hyug‐Gi Kim. A scholar is included among the top collaborators of Hyug‐Gi 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 Hyug‐Gi Kim. Hyug‐Gi 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.
2.
Kim, Hyug‐Gi, et al.. (2024). Functional MRI study with conductivity signal changes during visual stimulation. Journal of Neuroscience Methods. 412. 110288–110288. 2 indexed citations
3.
4.
Kim, Hyug‐Gi, et al.. (2023). Deep Learning Analysis of Mammography for Breast Cancer Risk Prediction in Asian Women. Diagnostics. 13(13). 2247–2247. 9 indexed citations
5.
Kim, Hyug‐Gi, et al.. (2023). Developing and Evaluating Deep Learning Algorithms for Object Detection: Key Points for Achieving Superior Model Performance. Korean Journal of Radiology. 24(7). 698–698. 5 indexed citations
6.
Woo, Ho Geol, Hyug‐Gi Kim, Kyung Mi Lee, et al.. (2023). Blood viscosity associated with stroke mechanism and early neurological deterioration in middle cerebral artery atherosclerosis. Scientific Reports. 13(1). 9384–9384. 7 indexed citations
7.
Kwon, Rosie, Seung Won Lee, Yong‐Sung Choi, et al.. (2023). National trends in physical activity among adolescents in South Korea before and during the COVID‐19 pandemic, 2009−2021. Journal of Medical Virology. 95(2). e28456–e28456. 14 indexed citations
8.
Kim, Hyunmin, et al.. (2023). Deep-learning model for diagnostic clue: detecting the dural tail sign for meningiomas on contrast-enhanced T1 weighted images. Quantitative Imaging in Medicine and Surgery. 13(12). 8132–8143. 3 indexed citations
9.
Woo, Ho Geol, Hyug‐Gi Kim, Kyung Mi Lee, et al.. (2023). Wall Shear Stress Associated with Stroke Occurrence and Mechanisms in Middle Cerebral Artery Atherosclerosis. Journal of Stroke. 25(1). 132–140. 12 indexed citations
10.
Kim, Hyug‐Gi, et al.. (2022). Reliable quality assurance of X-ray mammography scanner by evaluation the standard mammography phantom image using an interpretable deep learning model. European Journal of Radiology. 154. 110369–110369. 7 indexed citations
11.
Lee, Kyung Mi, et al.. (2022). Deep learning-based detection algorithm for brain metastases on black blood imaging. Scientific Reports. 12(1). 19503–19503. 4 indexed citations
12.
Kim, Hyug‐Gi, Kyung Mi Lee, Il Ki Hong, et al.. (2021). Association Between Plasma Amyloid-β and Neuropsychological Performance in Patients With Cognitive Decline. Frontiers in Aging Neuroscience. 13. 736937–736937. 9 indexed citations
13.
Lee, Jin San, Yunsoo Soh, Hyug‐Gi Kim, et al.. (2020). Interactive Effects of Apolipoprotein E ε4 and Triiodothyronine on Memory Performance in Patients With Subjective Cognitive Decline. Frontiers in Medicine. 7. 298–298. 5 indexed citations
14.
Yoon, Tae‐Hwan, et al.. (2018). A case report of multiple cervical artery dissection after peripheral type facial palsy and use of steroids. BMC Neurology. 18(1). 74–74. 4 indexed citations
15.
Kim, Hyug‐Gi, Kyung Mi Lee, & Jin San Lee. (2018). Unusual magnetic resonance imaging findings in a patient with posterior reversible encephalopathy syndrome. Quantitative Imaging in Medicine and Surgery. 8(10). 1066–1068. 2 indexed citations
16.
Lee, Kyung Mi, Hyug‐Gi Kim, Yeon‐Hee Lee, & Eui Jong Kim. (2017). mDixon-based texture analysis of an intraosseous lipoma: a case report and current review for the dental clinician. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 125(3). e67–e71. 4 indexed citations
17.
Kim, Hyug‐Gi, Soonchan Park, Hak Young Rhee, et al.. (2017). Quantitative susceptibility mapping to evaluate the early stage of Alzheimer's disease. NeuroImage Clinical. 16. 429–438. 99 indexed citations
18.
Lee, Kyung Mi, et al.. (2017). CT pattern analysis of necrotizing and nonnecrotizing lymph nodes in Kikuchi disease. PLoS ONE. 12(7). e0181169–e0181169. 14 indexed citations
19.
Lee, Yeon‐Hee, Kyung Mi Lee, Hyug‐Gi Kim, et al.. (2017). Orofacial complex regional pain syndrome: pathophysiologic mechanisms and functional MRI. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 124(2). e164–e170. 3 indexed citations
20.
Kim, Hyug‐Gi, Hak Young Rhee, Chang‐Woo Ryu, et al.. (2016). Texture analyses of quantitative susceptibility maps to differentiate Alzheimer's disease from cognitive normal and mild cognitive impairment. Medical Physics. 43(8Part1). 4718–4728. 38 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Maria Gabriela Figueiró Longo Breakdown of academic impact, for papers by Hasyma Abu Hassan Breakdown of academic impact, for papers by In Young Hyun Breakdown of academic impact, for papers by Nicholas J. Ferris Breakdown of academic impact, for papers by C C Meltzer Breakdown of academic impact, for papers by Hiroyuki Tatekawa Breakdown of academic impact, for papers by Francesca Di Giuliano Breakdown of academic impact, for papers by Kartheeban Nagenthiraja Breakdown of academic impact, for papers by Maria Ricci Breakdown of academic impact, for papers by Sébastien Verclytte
Rankless by CCL
2026