Chae Young Lee

447 total citations
32 papers, 279 citations indexed

About

Chae Young Lee is a scholar working on Infectious Diseases, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Chae Young Lee has authored 32 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 4 papers in Neurology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Chae Young Lee's work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (5 papers) and SARS-CoV-2 detection and testing (4 papers). Chae Young Lee is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (5 papers) and SARS-CoV-2 detection and testing (4 papers). Chae Young Lee collaborates with scholars based in South Korea, United States and Nigeria. Chae Young Lee's co-authors include Hyeo‐Il Ma, Unjoo Lee, Yun Joong Kim, Eun‐Jin Kim, Ae Kyung Park, Il‐Hwan Kim, Hyeokjin Lee, Eun-Joo Lee, Jeong‐Min Kim and Jeong‐Sook Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Chae Young Lee

29 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chae Young Lee South Korea 11 80 79 30 25 22 32 279
Silvia Beltrami Italy 9 139 1.7× 50 0.6× 49 1.6× 16 0.6× 42 1.9× 29 367
Domiziana Rinaldi Italy 10 45 0.6× 146 1.8× 25 0.8× 19 0.8× 16 0.7× 32 275
Fuyong Chen China 13 99 1.2× 109 1.4× 93 3.1× 81 3.2× 101 4.6× 35 499
Margarita Oks United States 9 65 0.8× 45 0.6× 37 1.2× 16 0.6× 93 4.2× 18 395
Lécio Figueira Pinto Brazil 11 88 1.1× 59 0.7× 32 1.1× 58 2.3× 6 0.3× 24 268
Phulen Sarma India 10 60 0.8× 36 0.5× 46 1.5× 58 2.3× 44 2.0× 20 287
Hironori Komori Japan 10 110 1.4× 30 0.4× 29 1.0× 56 2.2× 74 3.4× 16 328
Cristina Popescu Romania 10 69 0.9× 72 0.9× 95 3.2× 115 4.6× 38 1.7× 46 469
Manale Ouakki Canada 11 146 1.8× 31 0.4× 114 3.8× 50 2.0× 24 1.1× 27 375

Countries citing papers authored by Chae Young Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chae Young Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chae Young Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chae Young Lee. A scholar is included among the top collaborators of Chae Young 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 Chae Young Lee. Chae Young 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
1.
Lee, Chae Young, et al.. (2025). Early Termination for Hyperdimensional Computing Using Inferential Statistics. 342–360. 1 indexed citations
2.
Lee, Chae Young, et al.. (2025). HyperCam: Low-Power Onboard Computer Vision for IoT Cameras. 529–542.
3.
Lee, Chae Young, et al.. (2025). Discovering causal relationships among financial variables associated with firm value using a dynamic Bayesian network. SHILAP Revista de lepidopterología. 5(1). 1–18.
4.
No, Jin Sun, Chae Young Lee, Il Hwan Kim, et al.. (2024). Dynamics of SARS-CoV-2 variants during the XBB wave in the Republic of Korea. Virus Research. 350. 199471–199471. 2 indexed citations
5.
Kim, Jeong‐Min, Nam‐Joo Lee, Sang Hee Woo, et al.. (2023). Increased viral load in patients infected with severe acute respiratory syndrome coronavirus 2 Omicron variant in the Republic of Korea. Osong Public Health and Research Perspectives. 14(4). 272–278. 1 indexed citations
6.
Kim, Heui Man, Yong Jun Choi, Hyeokjin Lee, et al.. (2023). A Seroprevalence Study on Residents in a Senior Care Facility with Breakthrough SARS-CoV-2 Omicron Infection. Viral Immunology. 36(3). 203–208. 1 indexed citations
7.
Park, Soon, Yunho Jin, Chae Young Lee, et al.. (2023). Downregulation of complement factor H attenuates the stemness of MDA‑MB‑231 breast cancer cells via modulation of the ERK and p38 signaling pathways. Oncology Letters. 26(6). 521–521. 7 indexed citations
8.
Lee, Dong Wook, Jeong‐Min Kim, Ae Kyung Park, et al.. (2022). Genomic epidemiology of SARS- CoV-2 Omicron variants in the Republic of Korea. Scientific Reports. 12(1). 22414–22414. 17 indexed citations
9.
Kim, Il‐Hwan, Ae Kyung Park, Jin Su Song, et al.. (2022). An outbreak of SARS-CoV-2 reinfection in a long-term care facility in South Korea. Journal of Infection and Public Health. 15(9). 966–969. 6 indexed citations
10.
Choe, Young June, et al.. (2022). Impact of national pneumococcal vaccination program on invasive pneumococcal diseases in South Korea. Scientific Reports. 12(1). 15833–15833. 11 indexed citations
11.
Park, Ae Kyung, Il‐Hwan Kim, Junyoung Kim, et al.. (2021). Genomic Surveillance of SARS-CoV-2: Distribution of Clades in the Republic of Korea in 2020. Osong Public Health and Research Perspectives. 12(1). 37–43. 24 indexed citations
12.
Ye, Byeong Jin, Hwan Hee Lee, Eun Jin Yoo, et al.. (2020). TonEBP in dendritic cells mediates pro-inflammatory maturation and Th1/Th17 responses. Cell Death and Disease. 11(6). 421–421. 16 indexed citations
13.
Lee, Chae Young, Jung Han Yoon, Jeong-Ho Park, et al.. (2018). Uric acid level may not be reduced in essential tremor. International Journal of Neuroscience. 128(12). 1163–1167. 4 indexed citations
14.
Lee, Chae Young, et al.. (2016). Optimization of Proton CT Detector System and Image Reconstruction Algorithm for On-Line Proton Therapy. PLoS ONE. 11(5). e0156226–e0156226. 2 indexed citations
15.
Lee, Chae Young, et al.. (2016). A Validation Study of a Smartphone-Based Finger Tapping Application for Quantitative Assessment of Bradykinesia in Parkinson’s Disease. PLoS ONE. 11(7). e0158852–e0158852. 85 indexed citations
16.
Lee, Chae Young, et al.. (2015). Design and characterization of a small muon tomography system. Journal of the Korean Physical Society. 66(4). 585–591. 3 indexed citations
17.
Lee, Chae Young, et al.. (2014). Miller Fisher syndrome related to Orientia tsutsugamushi infection. Journal of Clinical Neuroscience. 21(12). 2251–2252. 11 indexed citations
18.
Lee, Chae Young, et al.. (2014). Feasibility study of a gamma camera for monitoring nuclear materials in the PRIDE facility. Journal of the Korean Physical Society. 64(9). 1293–1297. 4 indexed citations
19.
Jung, Yoon Yang, Mi Kyung Kim, Tae Jin Lee, et al.. (2012). The Unique Liquid-Based Cytologic Findings of Thyroid Signet-Ring Follicular Adenoma: A Report of Two Cases with Fine Needle Aspiration Cytology. Acta Cytologica. 57(1). 100–106. 2 indexed citations
20.
Lee, Chae Young, et al.. (2008). A Case of Xanthoma Disseminatum with Diabetes Insipidus. Linchuang pifuke zazhi. 46(6). 826–830. 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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