Chanyeol Choi

4.0k total citations · 2 hit papers
19 papers, 1.8k citations indexed

About

Chanyeol Choi is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Chanyeol Choi has authored 19 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 5 papers in Materials Chemistry and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Chanyeol Choi's work include Graphene research and applications (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Advanced Memory and Neural Computing (3 papers). Chanyeol Choi is often cited by papers focused on Graphene research and applications (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Advanced Memory and Neural Computing (3 papers). Chanyeol Choi collaborates with scholars based in United States, South Korea and China. Chanyeol Choi's co-authors include Jeehwan Kim, Yunjo Kim, Scott H. Tan, Han‐Wool Yeon, Shinhyun Choi, Shimeng Yu, Zefan Li, Pai-Yu Chen, Wei Kong and Yongmo Park and has published in prestigious journals such as Nature, Nature Materials and PLoS ONE.

In The Last Decade

Chanyeol Choi

15 papers receiving 1.8k 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.

SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations

2018 592 citations Shinhyun Choi, Scott H. Tan et al. Nature Materials profile →
Remote epitaxy through graphene enables two-dimensional material-based layer transfer

2017 454 citations Yunjo Kim, Samuel Cruz et al. Nature profile →

Peers

Chanyeol Choi

EEE

MC

CMN

BE

AMPO

Yunjo Kim United States

André Chanthbouala France

Ivona Z. Mitrović United Kingdom

Nianduan Lu China

Yi Tong China

Panagiotis Dimitrakis Greece

Jiebin Niu China

Wenbo Luo China

Marie‐Paule Besland France

Seongjae Cho South Korea

Yunjo Kim United States

Chanyeol Choi

1.1k ×0.8

EEE

911 ×1.2

MC

311 ×0.7

CMN

294 ×1.1

BE

148 ×0.6

AMPO

Citations per year, relative to Chanyeol Choi Chanyeol Choi (= 1×) peers Yunjo Kim

Countries citing papers authored by Chanyeol Choi

Since Specialization

Citations

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

Fields of papers citing papers by Chanyeol Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chanyeol Choi

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

1.

Lee, Yongjae, Chanyeol Choi, Chung-Chi Chen, et al.. (2025). Advances in Financial AI: Innovations, Risk, and Responsibility in the Era of LLMs. 6912–6915.

2.

Choi, Chanyeol, et al.. (2025). FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation. 638–646.

3.

Choi, Chanyeol, et al.. (2025). Your AI, Not Your View: The Bias of LLMs in Investment Analysis. 150–158.

4.

Choi, Chanyeol, et al.. (2025). FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering. 632–637.

5.

Ryu, Kanghyun, Chena Lee, Yoseob Han, et al.. (2023). Multi-planar 2.5D U-Net for image quality enhancement of dental cone-beam CT. PLoS ONE. 18(5). e0285608–e0285608. 6 indexed citations

6.

Lee, Seolhwa, et al.. (2023). Retrieval-based Evaluation for LLMs: A Case Study in Korean Legal QA. 132–137. 6 indexed citations

7.

Ryu, Kanghyun, et al.. (2021). K-space refinement in deep learning MR reconstruction via regularizing scan specific SPIRiT-based self consistency. 4819. 3991–4000. 1 indexed citations

8.

Yeon, Han‐Wool, Peng Lin, Chanyeol Choi, et al.. (2020). Publisher Correction: Alloying conducting channels for reliable neuromorphic computing. Nature Nanotechnology. 15(7). 615–615. 4 indexed citations

9.

Yeon, Han‐Wool, Peng Lin, Chanyeol Choi, et al.. (2020). Alloying conducting channels for reliable neuromorphic computing. Nature Nanotechnology. 15(7). 574–579. 218 indexed citations

10.

Bae, Sang‐Hoon, Donghyuk Kim, Sheng‐Yung Chang, et al.. (2020). Hybrid Integrated Photomedical Devices for Wearable Vital Sign Tracking. ACS Sensors. 5(6). 1582–1588. 15 indexed citations

11.

Choi, Chanyeol. (2019). eScholarship (California Digital Library). 22 indexed citations

12.

Bae, Sang-Hoon, Hyun S. Kum, Wei Kong, et al.. (2019). Integration of bulk materials with two-dimensional materials for physical coupling and applications. Nature Materials. 18(6). 550–560. 237 indexed citations

13.

Choi, Shinhyun, Scott H. Tan, Zefan Li, et al.. (2018). SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations. Nature Materials. 17(4). 335–340. 592 indexed citations breakdown →

14.

Yao, Baicheng, Shu‐Wei Huang, Yuan Liu, et al.. (2018). Gate-tunable frequency combs in graphene–nitride microresonators. Nature. 558(7710). 410–414. 193 indexed citations

15.

Kim, Yunjo, Samuel Cruz, Kyusang Lee, et al.. (2017). Remote epitaxy through graphene enables two-dimensional material-based layer transfer. Nature. 544(7650). 340–343. 454 indexed citations breakdown →

16.

Yao, Baicheng, Yunjiang Rao, Shu‐Wei Huang, et al.. (2017). Graphene Q-switched distributed feedback fiber lasers with narrow linewidth approaching the transform limit. Optics Express. 25(7). 8202–8202. 26 indexed citations

17.

Choi, Chanyeol, et al.. (2017). Enhanced electrical stability of nitrate ligand-based hexaaqua complexes solution-processed ultrathin a-IGZO transistors. Journal of Physics D Applied Physics. 50(48). 485107–485107. 9 indexed citations

18.

Noh, T. W., et al.. (2000). Atomic control of substrate termination and heteroepitaxial growth of SrTiO sub 3 /LaAlO sub 3 films. Journal of the Korean Physical Society. 36. 444–448. 1 indexed citations

19.

Kolodziejski, L. A., R. L. Gunshor, N. Ōtsuka, & Chanyeol Choi. (1986). Epitaxial growth of CdTe on GaAs by molecular beam epitaxy. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 4(4). 2150–2152. 23 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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