Jae Hee Lee

856 total citations · 2 hit papers
16 papers, 645 citations indexed

About

Jae Hee Lee is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jae Hee Lee has authored 16 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 4 papers in Electrical and Electronic Engineering and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jae Hee Lee's work include Advanced Sensor and Energy Harvesting Materials (6 papers), Photoreceptor and optogenetics research (3 papers) and Organic Light-Emitting Diodes Research (3 papers). Jae Hee Lee is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (6 papers), Photoreceptor and optogenetics research (3 papers) and Organic Light-Emitting Diodes Research (3 papers). Jae Hee Lee collaborates with scholars based in South Korea, United States and China. Jae Hee Lee's co-authors include Keon Jae Lee, Seung Hyung Lee, Jung H. Shin, Han Eol Lee, Sang Hyun Park, Il‐Suk Kang, Jung Hwan Park, Seong Kwang Hong, Daniel J. Joe and Seongwook Min and has published in prestigious journals such as Advanced Materials, Nature Communications and Advanced Functional Materials.

In The Last Decade

Jae Hee Lee

15 papers receiving 631 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Clinical Validation of a Wearable Piezoelectric Blood‐Pressure Sensor for Continuous Health Monitoring

2023 173 citations Seongwook Min, Dong Hyun Kim et al. Advanced Materials profile →
Wearable blood pressure sensors for cardiovascular monitoring and machine learning algorithms for blood pressure estimation

2025 26 citations Seongwook Min, Jae Hee Lee et al. Nature Reviews Cardiology profile →

Peers

Jae Hee Lee

BE

EEE

MC

PP

CMP

Seung Hyung Lee South Korea

Long He China

Seung Yun Heo United States

Benjamin Grena United States

Kyoungho Ha South Korea

Seokbeom Kim South Korea

Yutaro Tachibana Japan

Taewoo Ha South Korea

Houfang Liu China

Qijing Lin China

Seung Hyung Lee South Korea

Jae Hee Lee

300 ×0.8

BE

266 ×0.9

EEE

239 ×2.0

MC

94 ×0.9

PP

94 ×1.0

CMP

Citations per year, relative to Jae Hee Lee Jae Hee Lee (= 1×) peers Seung Hyung Lee

Countries citing papers authored by Jae Hee Lee

Since Specialization

Citations

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

Fields of papers citing papers by Jae Hee Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae Hee Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Hee Lee. A scholar is included among the top collaborators of Jae Hee 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 Jae Hee Lee. Jae Hee Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

1.

Min, Seongwook, Jae Hee Lee, Daniel J. Joe, et al.. (2025). Publisher Correction: Wearable blood pressure sensors for cardiovascular monitoring and machine learning algorithms for blood pressure estimation. Nature Reviews Cardiology. 22(9). 693–693. 3 indexed citations

2.

Min, Seongwook, Jae Hee Lee, Daniel J. Joe, et al.. (2025). Wearable blood pressure sensors for cardiovascular monitoring and machine learning algorithms for blood pressure estimation. Nature Reviews Cardiology. 22(9). 629–648. 26 indexed citations breakdown →

3.

Seo, Seung Gi, Seungyeob Kim, Seonggwang Yoo, et al.. (2025). Minimally Invasive, Bioadaptive Multimodal Sensor Probe with Safe Deployment for Real‐Time Acute Compartment Syndrome Diagnosis. Advanced Science. 12(33). e06942–e06942.

4.

Min, Seongwook, Jae Hee Lee, Jae Sung Park, et al.. (2025). Human‐Centric, Three Dimensional Micro Light‐Emitting Diodes for Cosmetic and Medical Phototherapy. Advanced Science. 12(10). e2416716–e2416716. 1 indexed citations

5.

Lee, Jae Hee, Seungyeob Kim, Haohui Zhang, et al.. (2024). Deeply Implantable, Shape‐Morphing, 3D MicroLEDs for Pancreatic Cancer Therapy. Advanced Materials. 37(49). e2411494–e2411494. 5 indexed citations

6.

Lee, Jae Hee, Seung Hyung Lee, Seongwook Min, et al.. (2024). Clinical Validation of Face‐Fit Surface‐Lighting Micro Light‐Emitting Diode Mask for Skin Anti‐Aging Treatment. Advanced Materials. 36(50). e2411651–e2411651. 5 indexed citations

7.

Park, Sang Hyun, Taejin Kim, Han Eol Lee, et al.. (2023). Universal selective transfer printing via micro-vacuum force. Nature Communications. 14(1). 7744–7744. 25 indexed citations

8.

Lee, Jin Soo, Jeong-Wook Kim, Jae Hee Lee, et al.. (2023). Flash-Induced High-Throughput Porous Graphene via Synergistic Photo-Effects for Electromagnetic Interference Shielding. Nano-Micro Letters. 15(1). 191–191. 35 indexed citations

9.

Sung, Sang Hyun, et al.. (2023). Bio-plausible memristive neural components towards hardware implementation of brain-like intelligence. Materials Today. 62. 251–270. 32 indexed citations

10.

Min, Seongwook, Dong Hyun Kim, Daniel J. Joe, et al.. (2023). Clinical Validation of a Wearable Piezoelectric Blood‐Pressure Sensor for Continuous Health Monitoring. Advanced Materials. 35(26). e2301627–e2301627. 173 indexed citations breakdown →

11.

Lee, Jae Hee, et al.. (2022). Implantable Micro-Light-Emitting Diode (µLED)-based optogenetic interfaces toward human applications. Advanced Drug Delivery Reviews. 187. 114399–114399. 26 indexed citations

12.

Lee, Jae Hee, Yuri Ahn, Han Eol Lee, et al.. (2022). Wearable Surface‐Lighting Micro‐Light‐Emitting Diode Patch for Melanogenesis Inhibition. Advanced Healthcare Materials. 12(1). 24 indexed citations

13.

Shin, Jung H., Jung Hwan Park, Jin Soo Lee, et al.. (2021). Light-material interfaces for self-powered optoelectronics. Journal of Materials Chemistry A. 9(46). 25694–25705. 8 indexed citations

14.

Lee, Han Eol, Jung H. Shin, Seung Hyung Lee, et al.. (2019). Flexible micro light-emitting diodes for wearable applications. 14–14. 8 indexed citations

15.

Lee, Han Eol, Jung H. Shin, Jung Hwan Park, et al.. (2019). Micro Light‐Emitting Diodes for Display and Flexible Biomedical Applications. Advanced Functional Materials. 29(24). 175 indexed citations

16.

Lee, Han Eol, Daewon Lee, Tae‐Ik Lee, et al.. (2018). Wireless powered wearable micro light-emitting diodes. Nano Energy. 55. 454–462. 99 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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