Young In Choi

1.5k total citations · 1 hit paper
74 papers, 1.2k citations indexed

About

Young In Choi is a scholar working on Materials Chemistry, Civil and Structural Engineering and Biomedical Engineering. According to data from OpenAlex, Young In Choi has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 10 papers in Civil and Structural Engineering and 9 papers in Biomedical Engineering. Recurrent topics in Young In Choi's work include Fluid Dynamics Simulations and Interactions (7 papers), Advanced Photocatalysis Techniques (7 papers) and Luminescence Properties of Advanced Materials (4 papers). Young In Choi is often cited by papers focused on Fluid Dynamics Simulations and Interactions (7 papers), Advanced Photocatalysis Techniques (7 papers) and Luminescence Properties of Advanced Materials (4 papers). Young In Choi collaborates with scholars based in South Korea, United States and Ethiopia. Young In Choi's co-authors include Youngku Sohn, Hee Jung Yoon, Sung Jun Jung, Seungwon Lee, Young‐Il Kim, Dae Won Cho, Mohammad Mansoob Khan, Jae‐Hun Kim, Inchan Youn and Young‐Jin Kim and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Young In Choi

66 papers receiving 1.2k citations

Hit Papers

An artificial neural tactile sensing system 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young In Choi South Korea 17 373 331 319 301 172 74 1.2k
Lakshmi Suresh Singapore 18 238 0.6× 568 1.7× 339 1.1× 389 1.3× 59 0.3× 28 1.2k
Bing Yin China 13 208 0.6× 330 1.0× 628 2.0× 616 2.0× 126 0.7× 43 1.4k
Jiaming Chen China 19 512 1.4× 294 0.9× 751 2.4× 166 0.6× 100 0.6× 115 1.4k
Yifan Tang China 17 402 1.1× 396 1.2× 710 2.2× 260 0.9× 84 0.5× 62 1.5k
Jiale Xu China 23 449 1.2× 1.0k 3.2× 268 0.8× 431 1.4× 59 0.3× 76 2.3k
Youngeun Kim South Korea 29 337 0.9× 610 1.8× 498 1.6× 808 2.7× 138 0.8× 130 2.4k
Zhuo Liu China 25 493 1.3× 273 0.8× 554 1.7× 682 2.3× 51 0.3× 116 1.9k
Zisheng Xu China 18 296 0.8× 438 1.3× 404 1.3× 1.1k 3.8× 240 1.4× 35 1.8k
Xiaowen Xu China 19 571 1.5× 475 1.4× 522 1.6× 660 2.2× 127 0.7× 55 1.7k

Countries citing papers authored by Young In Choi

Since Specialization
Citations

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

Fields of papers citing papers by Young In Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young In Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Young In Choi. A scholar is included among the top collaborators of Young In 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 Young In Choi. Young In Choi 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.
Choi, Young In, et al.. (2025). Deep learning-based single-shot computational spectrometer using multilayer thin films. Scientific Reports. 15(1). 21232–21232. 3 indexed citations
2.
Choi, Young In, et al.. (2025). Fully biocompatible, thermally drawn fiber supercapacitors for long-term bio-implantation. Nature Communications. 16(1). 8207–8207. 1 indexed citations
3.
Hong, Sunjoo, et al.. (2024). Exploring the Feasibility of ‘Personalized Learning Using Edutech’ in Classroom Instruction. Korean Journal of Teacher Education. 40(3). 171–195.
4.
Choi, Young In, et al.. (2023). Prevention of Chemotherapy-Induced Peripheral Neuropathy by Inhibiting C-X-C Motif Chemokine Receptor 2. International Journal of Molecular Sciences. 24(3). 1855–1855. 4 indexed citations
5.
Lee, Seung Hoon, et al.. (2023). TRPC4 deletion elicits behavioral defects in sociability by dysregulating expression of microRNA-138-2. iScience. 27(1). 108617–108617. 2 indexed citations
6.
Jhung, Myung Jo, et al.. (2022). Dynamic response of a fuel assembly for a KSNP design earthquake. Nuclear Engineering and Technology. 54(9). 3353–3360. 3 indexed citations
7.
Choi, Young In, et al.. (2022). The Effects of the FIFA 11+ and Self-Myofascial Release Complex Training on Injury, Flexibility and Muscle Stiffness of High School Football Players. The Journal of Korean Physical Therapy. 34(1). 38–44. 1 indexed citations
8.
Chun, Sungwoo, Jong-Seok Kim, Yongsang Yoo, et al.. (2021). An artificial neural tactile sensing system. Nature Electronics. 4(6). 429–438. 312 indexed citations breakdown →
9.
Lee, Kihwan, et al.. (2021). Riboflavin Inhibits Histamine-Dependent Itch by Modulating Transient Receptor Potential Vanilloid 1 (TRPV1). Frontiers in Molecular Neuroscience. 14. 643483–643483. 4 indexed citations
10.
11.
Choi, Young In, et al.. (2020). Collision Avoidance Algorithm of Mobile Robots at Grid Map Intersection Point. International Journal of Fuzzy Logic and Intelligent Systems. 20(2). 96–104. 6 indexed citations
12.
Tonello, Raquel, et al.. (2020). Sensory Neuron–Expressed TRPC4 Is a Target for the Relief of Psoriasiform Itch and Skin Inflammation in Mice. Journal of Investigative Dermatology. 140(11). 2221–2229.e6. 26 indexed citations
13.
Choi, Young In, Eun‐Sook Choi, Sung Jun Lee, et al.. (2019). Dual-responsive Gemini Micelles for Efficient Delivery of Anticancer Therapeutics. Polymers. 11(4). 604–604. 3 indexed citations
14.
Choi, Young In, et al.. (2014). Plume Density Simulation of KM Residual Thrust Using DSMC Method. Journal of the Korean Society of Propulsion Engineers. 18(6). 27–33.
15.
Chung, Sung Jin, Young In Choi, & Geung‐Joo Lee. (2013). Miscanthus EST-originated Transcription Factor WRKY Expression in Response to Low Temperature in Warm-season Turfgrasses. Weed & Turfgrass Science. 2(4). 368–375. 1 indexed citations
16.
Kim, Joonki, et al.. (2011). Construction of a Full-length cDNA Library from Korean Stewartia (Stewartia koreana Nakai) and Characterization of EST Dataset. Horticultural Science and Technology. 29(2). 116–122. 2 indexed citations
17.
Choi, Young In, et al.. (2009). Oligonucleotide microarray analysis of apoptosis induced by 15‐methoxypinusolidic acid in microglial BV2 cells. British Journal of Pharmacology. 157(6). 1053–1064. 4 indexed citations
18.
Choi, Young Ok, et al.. (2001). A Case of Type Ia Glycogen Storage Disease.. Journal of Korean Endocrine Society. 14(4). 786–792.
19.
Chung, Hum, et al.. (2001). Mechanism of growth inhibitory effect of Mitomycin-C on cultured human retinal pigment epithelial cells: Apoptosis and cell cycle arrest. Current Eye Research. 22(3). 174–181. 49 indexed citations
20.
Choi, Young In & Jeong Kee Seo. (1995). Evaluation of Severity of Childhood Pancreatitis with Multiple Factor Scoring Systems. Korean Journal of Pediatrics. 38(12). 1653–1663.

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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