Sanghoon Han

1.0k total citations
78 papers, 729 citations indexed

About

Sanghoon Han is a scholar working on Cognitive Neuroscience, Information Systems and Clinical Psychology. According to data from OpenAlex, Sanghoon Han has authored 78 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 21 papers in Information Systems and 9 papers in Clinical Psychology. Recurrent topics in Sanghoon Han's work include Education and Learning Interventions (18 papers), Memory Processes and Influences (12 papers) and Neural and Behavioral Psychology Studies (12 papers). Sanghoon Han is often cited by papers focused on Education and Learning Interventions (18 papers), Memory Processes and Influences (12 papers) and Neural and Behavioral Psychology Studies (12 papers). Sanghoon Han collaborates with scholars based in South Korea, United States and United Kingdom. Sanghoon Han's co-authors include Ian G. Dobbins, Akira R. O’Connor, Ana Raposo, Scott A. Huettel, R. Alison Adcock, Seung‐Koo Lee, Joon-Eon Yang, Jin‐Hee Park, Jae Jun Jeong and Na‐Young Shin and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sanghoon Han

63 papers receiving 675 citations

Peers

Sanghoon Han
Adam T. Biggs United States
Dylan Schmorrow United States
Daniel Hannon United States
Alex Chaparro United States
Akash Gupta Netherlands
R. Key Dismukes United States
Sampath Jayarathna United States
Adam T. Biggs United States
Sanghoon Han
Citations per year, relative to Sanghoon Han Sanghoon Han (= 1×) peers Adam T. Biggs

Countries citing papers authored by Sanghoon Han

Since Specialization
Citations

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

Fields of papers citing papers by Sanghoon Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanghoon Han

This figure shows the co-authorship network connecting the top 25 collaborators of Sanghoon Han. A scholar is included among the top collaborators of Sanghoon Han 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 Sanghoon Han. Sanghoon Han 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.
Han, Sanghoon, Hang Jea Jang, Jong Weon Lee, et al.. (2025). The effect of virtual reality-based treadmill gait training on functional mobility and balance in chronic stroke patients: a randomized controlled trial. SHILAP Revista de lepidopterología. 16. 1603233–1603233.
2.
Han, Sanghoon, et al.. (2025). Deep learning-based cough classification using application-recorded sounds: a transfer learning approach with VGGish. BMC Medical Informatics and Decision Making. 25(1). 228–228.
3.
Hur, Tak, Daniel K. Park, Na‐Young Shin, et al.. (2024). Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-series. Knowledge-Based Systems. 310. 112922–112922. 1 indexed citations
4.
Park, Soo Hyun, et al.. (2024). Investigation of factors regarding the effects of COVID-19 pandemic on college students’ depression by quantum annealer. Scientific Reports. 14(1). 4684–4684. 2 indexed citations
5.
Park, Sohyun, et al.. (2023). Validation of the influence of biosignals on performance of machine learning algorithms for sleep stage classification. Digital Health. 9. 589807495–589807495. 5 indexed citations
6.
Shin, Na-Young, et al.. (2018). Data on subjective recollection effects reflected in large-scale functional connectivity patterns in postpartum women. Data in Brief. 19. 1142–1147. 1 indexed citations
7.
Moon, Jihoon, et al.. (2017). Power Consumption Forecasting Scheme for Educational Institutions Based on Analysis of Similar Time Series Data. Journal of KIISE. 44(9). 954–965. 3 indexed citations
8.
Han, Sanghoon, et al.. (2016). A Case Study of Lifelong Education Practicum Program Using a Logic Model. 24(2). 125–145.
9.
Shin, Na Young, Phil Hyu Lee, Uicheul Yoon, et al.. (2015). Different Functional and Microstructural Changes Depending on Duration of Mild Cognitive Impairment in Parkinson Disease. American Journal of Neuroradiology. 37(5). 897–903. 23 indexed citations
10.
Han, Sanghoon, et al.. (2014). An Analysis on the Relative Importance of Municipal and Provincial Lifelong Education Institutes' Task. 22(2). 43–65. 2 indexed citations
11.
Han, Sanghoon, et al.. (2014). A Study of the Effects of College Student Everyday Creativity, Leardership and Emotion Regulation Strategies on Problem-solving Ability. Journal of Adolescent welfare. 16(1). 197–225. 2 indexed citations
12.
Han, Sanghoon. (2010). Test of the Effects of Moderator Variables on Lifelong Educatonal Outcome of Self-Directed Learning Level about Adult Learner's. The Journal of Educational Research. 8(3). 45–64. 1 indexed citations
13.
O’Connor, Akira R., Sanghoon Han, & Ian G. Dobbins. (2010). The Inferior Parietal Lobule and Recognition Memory: Expectancy Violation or Successful Retrieval?. Journal of Neuroscience. 30(8). 2924–2934. 134 indexed citations
14.
Han, Sanghoon. (2009). Trait individual difference of reinforcement-based decision criterial learning during episodic recognition judgments. 20(3). 357–381.
15.
Han, Sanghoon & Ian G. Dobbins. (2009). Regulating recognition decisions through incremental reinforcement learning. Psychonomic Bulletin & Review. 16(3). 469–474. 18 indexed citations
16.
Han, Sanghoon, et al.. (2008). A Study on the Influence of the Digital Textbook Attribute Factors on the Learning Interest and Learning Satisfaction. Journal of Digital Contents Society. 9(4). 735–749.
17.
Han, Sanghoon, et al.. (2008). Reconsideration of the research trend for the reflection on teaching. The Journal of Learner-Centered Curriculum and Instruction. 8(2). 403–422.
18.
Han, Sanghoon, et al.. (2008). Grounded Theoretical Study on the Guidance of Math Underachiever through Game Based Learning. The Journal of Learner-Centered Curriculum and Instruction. 8(2). 181–201.
19.
Han, Sanghoon. (2007). The Relationship between Academic Motivation and Self-Directed Leaning among Adult Learners. The Journal of Learner-Centered Curriculum and Instruction. 7(2). 355–374. 6 indexed citations
20.
Han, Sanghoon. (2003). The Relationship between Motivation for Life-long Education and Self-Directed Learning among Adult Learners. 9(3). 225–246. 6 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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