Quoc An Vu

3.4k total citations · 1 hit paper
23 papers, 2.4k citations indexed

About

Quoc An Vu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Quoc An Vu has authored 23 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 16 papers in Electrical and Electronic Engineering and 5 papers in Biomedical Engineering. Recurrent topics in Quoc An Vu's work include 2D Materials and Applications (14 papers), Graphene research and applications (12 papers) and Advanced Memory and Neural Computing (9 papers). Quoc An Vu is often cited by papers focused on 2D Materials and Applications (14 papers), Graphene research and applications (12 papers) and Advanced Memory and Neural Computing (9 papers). Quoc An Vu collaborates with scholars based in South Korea, China and United States. Quoc An Vu's co-authors include Young Hee Lee, Woo Jong Yu, Hyun Kim, Van Luan Nguyen, Sidi Fan, Minh Dao Tran, Ju‐Hyuck Lee, Jian Chang, Duy Tho Pham and Sang‐Woo Kim and has published in prestigious journals such as Advanced Materials, Nature Communications and ACS Nano.

In The Last Decade

Quoc An Vu

23 papers receiving 2.4k citations

Hit Papers

Coaxial Fiber Supercapacitor Using All-Carbon Material El... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quoc An Vu South Korea 18 1.6k 1.4k 603 570 339 23 2.4k
Kyoungah Cho South Korea 26 1.5k 0.9× 2.0k 1.4× 630 1.0× 509 0.9× 356 1.1× 168 2.5k
Tai‐Yuan Lin Taiwan 28 1.0k 0.6× 873 0.6× 511 0.8× 558 1.0× 272 0.8× 123 2.0k
David Wei Zhang China 28 1.7k 1.1× 2.0k 1.5× 553 0.9× 414 0.7× 217 0.6× 83 2.8k
Jaekyun Kim South Korea 25 909 0.6× 1.8k 1.3× 678 1.1× 329 0.6× 546 1.6× 94 2.4k
Mingjin Dai China 31 1.9k 1.2× 1.7k 1.2× 708 1.2× 410 0.7× 196 0.6× 52 2.7k
Sangyeon Pak South Korea 27 1.9k 1.2× 1.8k 1.3× 575 1.0× 804 1.4× 271 0.8× 75 3.0k
Weizhen Liu China 27 1.3k 0.8× 1.5k 1.1× 231 0.4× 336 0.6× 314 0.9× 98 2.1k
Yasuhisa Naitoh Japan 25 1.1k 0.7× 1.3k 0.9× 859 1.4× 164 0.3× 753 2.2× 107 2.3k
Jungkil Kim South Korea 19 857 0.5× 681 0.5× 892 1.5× 236 0.4× 234 0.7× 37 1.6k
Yeong‐Her Wang Taiwan 24 607 0.4× 2.1k 1.5× 436 0.7× 344 0.6× 333 1.0× 205 2.6k

Countries citing papers authored by Quoc An Vu

Since Specialization
Citations

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

Fields of papers citing papers by Quoc An Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quoc An Vu. 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 Quoc An Vu. The network helps show where Quoc An Vu may publish in the future.

Co-authorship network of co-authors of Quoc An Vu

This figure shows the co-authorship network connecting the top 25 collaborators of Quoc An Vu. A scholar is included among the top collaborators of Quoc An Vu 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 Quoc An Vu. Quoc An Vu 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.
Won, Ui Yeon, Quoc An Vu, Sung Bum Park, et al.. (2023). Multi-neuron connection using multi-terminal floating–gate memristor for unsupervised learning. Nature Communications. 14(1). 3070–3070. 50 indexed citations
2.
Phan, Thanh Luan, Sohyeon Seo, Yunhee Cho, et al.. (2022). CNT-molecule-CNT (1D-0D-1D) van der Waals integration ferroelectric memory with 1-nm2 junction area. Nature Communications. 13(1). 4556–4556. 8 indexed citations
3.
Fan, Sidi, Quoc An Vu, Minh Dao Tran, Subash Adhikari, & Young Hee Lee. (2020). Transfer assembly for two-dimensional van der Waals heterostructures. 2D Materials. 7(2). 22005–22005. 110 indexed citations
4.
Phan, Thanh Luan, Dinh Loc Duong⧫, Sidi Fan, et al.. (2020). Tuning the inhomogeneous charge transport in ZnO interfaces for ultrahigh on/off ratio top-gated field-effect-transistor arrays. Nano Research. 13(11). 3033–3040. 3 indexed citations
5.
Fan, Sidi, Quoc An Vu, Sanghyub Lee, et al.. (2019). Tunable Negative Differential Resistance in van der Waals Heterostructures at Room Temperature by Tailoring the Interface. ACS Nano. 13(7). 8193–8201. 88 indexed citations
6.
Phan, Thanh Luan, Quoc An Vu, Young Rae Kim, et al.. (2019). Efficient Gate Modulation in a Screening-Engineered MoS2/Single-Walled Carbon Nanotube Network Heterojunction Vertical Field-Effect Transistor. ACS Applied Materials & Interfaces. 11(28). 25516–25523. 23 indexed citations
7.
Vu, Quoc An, Sidi Fan, Sang Hyup Lee, et al.. (2018). Near-zero hysteresis and near-ideal subthreshold swing in h-BN encapsulated single-layer MoS 2 field-effect transistors. 2D Materials. 5(3). 31001–31001. 146 indexed citations
8.
Tran, Minh Dao, Hyun Kim, Jun Suk Kim, et al.. (2018). Two‐Terminal Multibit Optical Memory via van der Waals Heterostructure. Advanced Materials. 31(7). e1807075–e1807075. 208 indexed citations
9.
Vu, Quoc An & Woo Jong Yu. (2018). Electronics and Optoelectronics Based on Two-Dimensional Materials. Journal of the Korean Physical Society. 73(1). 1–15. 24 indexed citations
10.
Yang, Zhenyu, Hao Hong, Fang Liu, et al.. (2018). High‐Performance Photoinduced Memory with Ultrafast Charge Transfer Based on MoS2/SWCNTs Network Van Der Waals Heterostructure. Small. 15(3). e1804661–e1804661. 47 indexed citations
11.
Vu, Quoc An & Woo Jong Yu. (2018). Devices layer up for stability. Nature Electronics. 1(2). 98–99. 1 indexed citations
12.
Yun, Seok Joon, Gang Han, Hyun Kim, et al.. (2017). Telluriding monolayer MoS2 and WS2 via alkali metal scooter. Nature Communications. 8(1). 2163–2163. 99 indexed citations
13.
14.
Vu, Quoc An, Yong Seon Shin, Young Rae Kim, et al.. (2016). Two-terminal floating-gate memory with van der Waals heterostructures for ultrahigh on/off ratio. Nature Communications. 7(1). 12725–12725. 307 indexed citations
15.
Yu, Woo Jong, Sang Hoon Chae, Quoc An Vu, & Young Hee Lee. (2016). Sorting centimetre-long single-walled carbon nanotubes. Scientific Reports. 6(1). 30836–30836. 4 indexed citations
16.
Yu, Woo Jong, Quoc An Vu, Hailong Zhou, et al.. (2016). Unusually efficient photocurrent extraction in monolayer van der Waals heterostructure by tunnelling through discretized barriers. Nature Communications. 7(1). 13278–13278. 133 indexed citations
17.
Nguyen, Van Luan, David Perello, Seunghun Lee, et al.. (2016). Wafer‐Scale Single‐Crystalline AB‐Stacked Bilayer Graphene. Advanced Materials. 28(37). 8177–8183. 80 indexed citations
18.
Nguyen, Van Luan, Bong Gyu Shin, Dinh Loc Duong⧫, et al.. (2014). Seamless Stitching of Graphene Domains on Polished Copper (111) Foil. Advanced Materials. 27(8). 1376–1382. 321 indexed citations
19.
Le, Viet Thong, Heetae Kim, Arunabha Ghosh, et al.. (2013). Coaxial Fiber Supercapacitor Using All-Carbon Material Electrodes. ACS Nano. 7(7). 5940–5947. 486 indexed citations breakdown →
20.
Ly, Thuc Hue, Dinh Loc Duong⧫, Huy Q. Ta, et al.. (2013). Nondestructive Characterization of Graphene Defects. Advanced Functional Materials. 23(41). 5183–5189. 45 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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