Hyejoo Lee

645 total citations
44 papers, 429 citations indexed

About

Hyejoo Lee is a scholar working on Psychiatry and Mental health, Marketing and Physiology. According to data from OpenAlex, Hyejoo Lee has authored 44 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Psychiatry and Mental health, 8 papers in Marketing and 7 papers in Physiology. Recurrent topics in Hyejoo Lee's work include Dementia and Cognitive Impairment Research (11 papers), Alzheimer's disease research and treatments (7 papers) and Consumer Perception and Purchasing Behavior (5 papers). Hyejoo Lee is often cited by papers focused on Dementia and Cognitive Impairment Research (11 papers), Alzheimer's disease research and treatments (7 papers) and Consumer Perception and Purchasing Behavior (5 papers). Hyejoo Lee collaborates with scholars based in South Korea, United States and Japan. Hyejoo Lee's co-authors include Duk L. Na, Hyemin Jang, Sang Won Seo, Hee Jin Kim, Sung Hoon Kang, John Pemberton, Mark Gomelsky, Alastair G. McEwan, Irene Horne and Samuel Kaplan and has published in prestigious journals such as Neurology, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Hyejoo Lee

33 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyejoo Lee South Korea 12 153 88 64 55 46 44 429
Hongliang Zhou China 15 96 0.6× 52 0.6× 96 1.5× 226 4.1× 28 0.6× 73 783
Haifeng Jiang China 19 88 0.6× 62 0.7× 159 2.5× 235 4.3× 140 3.0× 84 1.0k
Suhong Wang China 11 64 0.4× 35 0.4× 21 0.3× 182 3.3× 30 0.7× 65 451
Shaney Flores United States 13 178 1.2× 149 1.7× 37 0.6× 228 4.1× 32 0.7× 42 525
William Matloff United States 9 62 0.4× 50 0.6× 113 1.8× 98 1.8× 26 0.6× 12 563
Kanika Mehta Australia 8 72 0.5× 79 0.9× 68 1.1× 61 1.1× 18 0.4× 26 680
Ryan Lee United States 7 78 0.5× 91 1.0× 30 0.5× 164 3.0× 23 0.5× 12 349
Lanfen Liu China 10 48 0.3× 24 0.3× 91 1.4× 23 0.4× 30 0.7× 27 415
Masuro Shintani Japan 13 50 0.3× 72 0.8× 47 0.7× 108 2.0× 47 1.0× 25 381
Phil Rich United Kingdom 11 42 0.3× 23 0.3× 77 1.2× 171 3.1× 45 1.0× 21 534

Countries citing papers authored by Hyejoo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hyejoo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyejoo Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hyejoo Lee. A scholar is included among the top collaborators of Hyejoo Lee 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 Hyejoo Lee. Hyejoo Lee 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
2.
Hwang, Uiwon, et al.. (2023). Real-world prediction of preclinical Alzheimer’s disease with a deep generative model. Artificial Intelligence in Medicine. 144. 102654–102654. 11 indexed citations
3.
Jang, Hyemin, et al.. (2022). Potential Applications of Artificial Intelligence in Clinical Trials for Alzheimer’s Disease. Life. 12(2). 275–275. 1 indexed citations
4.
Choe, Yeong Sim, et al.. (2022). Predicting conversion of brain β-amyloid positivity in amyloid-negative individuals. Alzheimer s Research & Therapy. 14(1). 129–129. 12 indexed citations
5.
Lee, Hyejoo, et al.. (2022). A study on the changes in life habits, mental health, and sleep quality of college students due to COVID-19. Work. 73(3). 777–786. 7 indexed citations
7.
Kim, Jaeho, Yuhyun Park, Seongbeom Park, et al.. (2021). Prediction of tau accumulation in prodromal Alzheimer’s disease using an ensemble machine learning approach. Scientific Reports. 11(1). 5706–5706. 10 indexed citations
8.
Jung, Young Hee, Hyejoo Lee, Hee Jin Kim, et al.. (2020). Prediction of amyloid β PET positivity using machine learning in patients with suspected cerebral amyloid angiopathy markers. Scientific Reports. 10(1). 18806–18806. 5 indexed citations
9.
Lee, Hyejoo, et al.. (2020). Validation Study of Korean version of Modernism Calling Scale. 33(3). 191–209.
10.
Chin, Juhee, et al.. (2020). A Validation Study of the Inbrain CST: a Tablet Computer-based Cognitive Screening Test for Elderly People with Cognitive Impairment. Journal of Korean Medical Science. 35(34). e292–e292. 18 indexed citations
11.
Kang, Sung Hoon, Yu Hyun Park, Jun Pyo Kim, et al.. (2019). The Cortical Neuroanatomy Related to Specific Neuropsychological Deficits in Alzheimer's Continuum. Dementia and Neurocognitive Disorders. 18(3). 77–77. 88 indexed citations
12.
Walsh‐Messinger, Julie, et al.. (2019). Relative importance of symptoms, cognition, and other multilevel variables for psychiatric disease classifications by machine learning. Psychiatry Research. 278. 27–34. 12 indexed citations
13.
Kim, Ko Woon, Hyejoo Lee, Na Kyung Lee, et al.. (2018). Social Event Memory Test (SEMT): A Video-based Memory Test for Predicting Amyloid Positivity for Alzheimer’s Disease. Scientific Reports. 8(1). 10421–10421. 6 indexed citations
14.
Lee, Hyejoo, et al.. (2016). The Mediating Effect of Perceived Calling in a Relationship Between the Spiritual Maturity and Career Maturity of Christian College Students. 27(2). 225–253.
15.
Lee, Tae Rim, et al.. (2014). The efficient implementation of distributed indexing with Hadoop for digital investigations on Big Data. Computer Science and Information Systems. 11(3). 1037–1054. 7 indexed citations
16.
Lee, Hyejoo, et al.. (2011). A Design and Implementation of a Smartphone App Providing the SCAMPER Method. The Journal of Korean Association of Computer Education. 14(5). 29–37. 1 indexed citations
17.
Lee, Hyejoo, Dolores Malaspina, Hongshik Ahn, et al.. (2011). Paternal age related schizophrenia (PARS): Latent subgroups detected by k-means clustering analysis. Schizophrenia Research. 128(1-3). 143–149. 31 indexed citations
18.
Lee, Hyejoo, et al.. (2007). Model for stage make-up design by personality types based on Physiognomy - Focused on eyebrows and eyes make-up design -. Archives of Design Research. 20(1). 273–286. 1 indexed citations
19.
Lee, Hyejoo, et al.. (2002). 3D DCT Video Information Hiding. 169–172. 1 indexed citations
20.
Lee, Hyejoo. (1988). Effect of Methionine Sulfoximine in nitrogenase activity by ammonia and glutamine in Rhodopseudomonas sphaeroides. 미생물학회지. 26(3). 215–222. 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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