Hakseung Kim

647 total citations
44 papers, 412 citations indexed

About

Hakseung Kim is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hakseung Kim has authored 44 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 15 papers in Neurology and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hakseung Kim's work include EEG and Brain-Computer Interfaces (22 papers), Traumatic Brain Injury and Neurovascular Disturbances (12 papers) and Neuroscience and Neural Engineering (9 papers). Hakseung Kim is often cited by papers focused on EEG and Brain-Computer Interfaces (22 papers), Traumatic Brain Injury and Neurovascular Disturbances (12 papers) and Neuroscience and Neural Engineering (9 papers). Hakseung Kim collaborates with scholars based in South Korea, United Kingdom and United States. Hakseung Kim's co-authors include Dong‐Joo Kim, Marek Czosnyka, Seung-Bo Lee, Ji-Hoon Jeong, Seong‐Whan Lee, Jung Bin Kim, Dong-Kyu Kim, Byung Chul Yoon, Young‐Tak Kim and Zofia Czosnyka and has published in prestigious journals such as PLoS ONE, Journal of neurosurgery and Expert Systems with Applications.

In The Last Decade

Hakseung Kim

41 papers receiving 400 citations

Peers

Hakseung Kim
Ting Ma China
Nessa Johnson United States
Seung-Bo Lee South Korea
Pedro F. Viana Portugal
Thomas Potter United States
Giuseppe Reale Italy
Damien Lesenfants Belgium
Kristin Caldera United States
Yosuke Sato Japan
Anne Marie Guerguerian Canada
Ting Ma China
Hakseung Kim
Citations per year, relative to Hakseung Kim Hakseung Kim (= 1×) peers Ting Ma

Countries citing papers authored by Hakseung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hakseung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hakseung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hakseung Kim. A scholar is included among the top collaborators of Hakseung 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 Hakseung Kim. Hakseung 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.
Ha, Eun Jin, Jin Hyung Kim, Jeong Eun Kim, et al.. (2025). Prediction of Cerebral Hyperperfusion Syndrome After Combined Bypass Surgery in Moyamoya Disease Using Hemodynamic and Clinical Data. Clinical Nuclear Medicine. 50(7). 588–595.
2.
Kim, Hakseung, et al.. (2025). Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid-Self-Supervised Learning Framework. IEEE Transactions on Cybernetics. 55(12). 5619–5632. 1 indexed citations
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Kim, Hakseung, et al.. (2024). NeuroXAI: Adaptive, robust, explainable surrogate framework for determination of channel importance in EEG application. Expert Systems with Applications. 261. 125364–125364. 2 indexed citations
6.
Kim, Hakseung, et al.. (2024). Negative-Sample-Free Contrastive Self-Supervised Learning for Electroencephalogram-Based Motor Imagery Classification. IEEE Access. 12. 132714–132728. 2 indexed citations
7.
Kim, Hakseung, et al.. (2024). Artificial Intelligence-Enhanced Neurocritical Care for Traumatic Brain Injury : Past, Present and Future. Journal of Korean Neurosurgical Society. 67(5). 493–509. 11 indexed citations
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Lee, Seho, Hakseung Kim, Jung Bin Kim, & Dong‐Joo Kim. (2023). Effects of altered functional connectivity on motor imagery brain–computer interfaces based on the laterality of paralysis in hemiplegia patients. Computers in Biology and Medicine. 166. 107435–107435. 3 indexed citations
10.
Kim, Hakseung, et al.. (2022). Autonomic Dysfunction in Sleep Disorders: From Neurobiological Basis to Potential Therapeutic Approaches. Journal of Clinical Neurology. 18(2). 140–140. 36 indexed citations
11.
Kim, Dong-Kyu, Young‐Tak Kim, Hakseung Kim, & Dong‐Joo Kim. (2022). DeepCNAP: A Deep Learning Approach for Continuous Noninvasive Arterial Blood Pressure Monitoring Using Photoplethysmography. IEEE Journal of Biomedical and Health Informatics. 26(8). 3697–3707. 32 indexed citations
12.
Kim, Hakseung, et al.. (2021). Prediction of Life-Threatening Intracranial Hypertension During the Acute Phase of Traumatic Brain Injury Using Machine Learning. IEEE Journal of Biomedical and Health Informatics. 25(10). 3967–3976. 23 indexed citations
13.
Kim, Hakseung, et al.. (2021). Cerebrospinal fluid dynamics correlate with neurogenic claudication in lumbar spinal stenosis. PLoS ONE. 16(5). e0250742–e0250742. 5 indexed citations
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Lee, Seung-Bo, et al.. (2020). Complex Motor Imagery-based Brain-Computer Interface System: A Comparison Between Different Classifiers. 13. 2496–2501. 1 indexed citations
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Kim, Hakseung, Seong Yi, Byung Chul Yoon, et al.. (2015). Finite element analysis for normal pressure hydrocephalus: The effects of the integration of sulci. Medical Image Analysis. 24(1). 235–244. 9 indexed citations
19.
Kim, Hakseung, Byoung‐Kyong Min, Byung‐Jo Kim, et al.. (2015). Porohyperelastic anatomical models for hydrocephalus and idiopathic intracranial hypertension. Journal of neurosurgery. 122(6). 1330–1340. 12 indexed citations
20.
Kim, Hakseung, Byung Chul Yoon, Keewon Kim, et al.. (2014). Quantitative analysis of computed tomography images and early detection of cerebral edema for pediatric traumatic brain injury patients: retrospective study. BMC Medicine. 12(1). 186–186. 28 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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