Y. Lee

923 total citations · 1 hit paper
9 papers, 695 citations indexed

About

Y. Lee is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Y. Lee has authored 9 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 7 papers in Atomic and Molecular Physics, and Optics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Y. Lee's work include Graphene research and applications (8 papers), Quantum and electron transport phenomena (6 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). Y. Lee is often cited by papers focused on Graphene research and applications (8 papers), Quantum and electron transport phenomena (6 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). Y. Lee collaborates with scholars based in United States, Spain and Switzerland. Y. Lee's co-authors include Chun Ning Lau, Kevin Myhro, Dmitry Smirnov, Jairo Velasco, Wenzhong Bao, Pablo Jarillo‐Herrero, Mathieu Massicotte, A. H. MacDonald, Q. Ma and Achim Woessner and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nature Materials.

In The Last Decade

Y. Lee

9 papers receiving 682 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.

Bio-inspired artificial mechanoreceptors with built-in synaptic functions for intelligent tactile skin

2025 20 citations Y. Lee, Atanu Bag et al. Nature Materials profile →

Peers

Y. Lee

MC

AMPO

EEE

BE

EOMM

Kevin Myhro United States

Yuri M. Zuev United States

Tairu Lyu United States

Chihun In South Korea

Aryan Navabi United States

Yinming Shao United States

Hari S. Solanki India

Vas. P. Kunets United States

Sergei Kuehn Germany

Tuomas Haggrén Finland

Kevin Myhro United States

Y. Lee

630 ×1.1

MC

574 ×1.3

AMPO

144 ×0.9

EEE

132 ×0.9

BE

104 ×2.5

EOMM

Citations per year, relative to Y. Lee Y. Lee (= 1×) peers Kevin Myhro

Countries citing papers authored by Y. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Y. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Lee. A scholar is included among the top collaborators of Y. 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 Y. Lee. Y. 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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9 of 9 papers shown

1.

Lee, Y., et al.. (2025). Bio-inspired artificial mechanoreceptors with built-in synaptic functions for intelligent tactile skin. Nature Materials. 24(7). 1100–1108. 20 indexed citations breakdown →

2.

Kurzmann, Annika, Marius Eich, Hiske Overweg, et al.. (2019). Excited States in Bilayer Graphene Quantum Dots. Physical Review Letters. 123(2). 26803–26803. 68 indexed citations

3.

Myhro, Kevin, Shi Che, Yi Shi, et al.. (2018). Large tunable intrinsic gap in rhombohedral-stacked tetralayer graphene at half filling. 2D Materials. 5(4). 45013–45013. 37 indexed citations

4.

Tielrooij, Klaas‐Jan, Łukasz Piątkowski, Mathieu Massicotte, et al.. (2015). Generation of photovoltage in graphene on a femtosecond timescale through efficient carrier heating. Nature Nanotechnology. 10(5). 437–443. 218 indexed citations

5.

Lee, Y., David Tran, Kevin Myhro, et al.. (2014). Competition between spontaneous symmetry breaking and single-particle gaps in trilayer graphene. Nature Communications. 5(1). 5656–5656. 62 indexed citations

6.

Velasco, Jairo, Y. Lee, Fan Zhang, et al.. (2014). Competing ordered states with filling factor two in bilayer graphene. Nature Communications. 5(1). 4550–4550. 21 indexed citations

7.

Velasco, Jairo, Y. Lee, Jing Long, et al.. (2012). Quantum transport in double-gated graphene devices. Solid State Communications. 152(15). 1301–1305. 14 indexed citations

8.

Velasco, Jairo, Lei Jing, Wenzhong Bao, et al.. (2012). Transport spectroscopy of symmetry-broken insulating states in bilayer graphene. Nature Nanotechnology. 7(3). 156–160. 254 indexed citations

9.

Velasco, Jairo, Lei Jing, Y. Lee, et al.. (2012). Transport measurements on ultra-clean dual-gated suspended bilayer graphene. SHILAP Revista de lepidopterología. 23. 18–18. 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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