Dahyun Oh

1.1k total citations · 1 hit paper
20 papers, 983 citations indexed

About

Dahyun Oh is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Automotive Engineering. According to data from OpenAlex, Dahyun Oh has authored 20 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 3 papers in Molecular Biology and 3 papers in Automotive Engineering. Recurrent topics in Dahyun Oh's work include Advancements in Battery Materials (12 papers), Advanced Battery Materials and Technologies (10 papers) and Advanced battery technologies research (5 papers). Dahyun Oh is often cited by papers focused on Advancements in Battery Materials (12 papers), Advanced Battery Materials and Technologies (10 papers) and Advanced battery technologies research (5 papers). Dahyun Oh collaborates with scholars based in United States, South Korea and Türkiye. Dahyun Oh's co-authors include Angela M. Belcher, Jifa Qi, Yang Shao‐Horn, Yue Qi, Ju Li, Liumin Suo, Fei Wang, Zengqing Zhuo, Kang Xu and Ziqiang Wang and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Nano Letters.

In The Last Decade

Dahyun Oh

17 papers receiving 973 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.

How Solid-Electrolyte Interphase Forms in Aqueous Electrolytes

2017 459 citations Liumin Suo, Dahyun Oh et al. Journal of the American Chemical Society profile →

Peers

Dahyun Oh

EEE

AE

EOMM

MC

MB

Ryan C. Wartena United States

Weibin Zhou China

Shun Zheng China

Yehonatan Levartovsky Israel

Xiaofan Shen China

Jiaolong Zhang China

Bijoy Das India

Xiaojian Fan China

Xiaoming Zhang China

Xiaoyun Jin China

Ryan C. Wartena United States

Dahyun Oh

357 ×0.5

EEE

108 ×0.6

AE

164 ×0.9

EOMM

89 ×0.6

MC

73 ×0.7

MB

Citations per year, relative to Dahyun Oh Dahyun Oh (= 1×) peers Ryan C. Wartena

Countries citing papers authored by Dahyun Oh

Since Specialization

Citations

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

Fields of papers citing papers by Dahyun Oh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dahyun Oh

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

All Works

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20 of 20 papers shown

1.

Oh, Dahyun, et al.. (2024). Antibiofilm Activity of PDMS/TiO₂ against Candida glabrata through Inhibited Hydrophobic Recovery. ACS Omega. 9(41). 42593–42601. 2 indexed citations

2.

Oh, Dahyun, et al.. (2024). Hydrant Segmentation and Extraction Using Deep Learning Models for Large-Scale Urban Point Clouds. 289–298.

3.

Oh, Dahyun, et al.. (2024). Deep Learning-Based Crowdsourced Image Localization in Digital Twin Models for Enhanced Infrastructure Management. 18. 562–570.

4.

McAfee, Terry, et al.. (2024). Study of electron-induced chemical transformations in polymers. Journal of Micro/Nanopatterning Materials and Metrology. 23(4).

5.

Oh, Dahyun, et al.. (2023). Low-Cost Object Detection Models for Traffic Control Devices through Domain Adaption of Geographical Regions. Remote Sensing. 15(10). 2584–2584. 1 indexed citations

6.

McAfee, Terry, et al.. (2023). Study of electron-induced chemical transformations in model resists. 8. 59–59. 2 indexed citations

7.

Weker, Johanna Nelson, et al.. (2023). Softening of PEO–LiTFSI/LLZTO Composite Polymer Electrolytes for Solid-State Batteries under Cyclic Compression. ACS Applied Energy Materials. 6(18). 9400–9408. 3 indexed citations

8.

Li, Tianyu, David Wagner, Rohan Dhall, et al.. (2021). Microbe-Assisted Nanocomposite Anodes for Aqueous Li-Ion Batteries. ACS Applied Materials & Interfaces. 13(33). 39195–39204. 2 indexed citations

9.

Bokare, Anuja, et al.. (2020). Carbon-based artificial SEI layers for aqueous lithium-ion battery anodes. RSC Advances. 10(2). 674–681. 24 indexed citations

10.

Lee, Myoungseok, et al.. (2020). Advances in Materials Design for All-Solid-state Batteries: From Bulk to Thin Films. Applied Sciences. 10(14). 4727–4727. 38 indexed citations

11.

Jang, Yu Jin, Thi Hong Trang Nguyen, Hyeokjun Park, et al.. (2019). Investigation of Li–O₂ Battery Performance Integrated with RuO₂ Inverse Opal Cathodes in DMSO. ACS Applied Energy Materials. 2(7). 5109–5115. 11 indexed citations

12.

Oh, Dahyun, Noel Arellano, Yong Cheol Shin, et al.. (2018). Flat Monolayer Graphene Cathodes for Li–Oxygen Microbatteries. ACS Applied Materials & Interfaces. 11(1). 489–498. 11 indexed citations

13.

Oh, Dahyun, Çağla Özgit-Akgün, Leslie E. Thompson, et al.. (2017). Biotemplating pores with size and shape diversity for Li-oxygen Battery Cathodes. Scientific Reports. 7(1). 45919–45919. 9 indexed citations

14.

Oh, Dahyun, Kumar Virwani, Loza F. Tadesse, et al.. (2017). Effect of Transition Metal Oxide Cathodes on the Oxygen Evolution Reaction in Li–O₂ Batteries. The Journal of Physical Chemistry C. 121(3). 1404–1411. 18 indexed citations

15.

Suo, Liumin, Dahyun Oh, Yuxiao Lin, et al.. (2017). How Solid-Electrolyte Interphase Forms in Aqueous Electrolytes. Journal of the American Chemical Society. 139(51). 18670–18680. 459 indexed citations breakdown →

16.

Jung, Sung Mi, Jifa Qi, Dahyun Oh, Angela M. Belcher, & Jing Kong. (2016). M13 Virus Aerogels as a Scaffold for Functional Inorganic Materials. Advanced Functional Materials. 27(4). 37 indexed citations

17.

Oh, Dahyun, Jifa Qi, Binghong Han, et al.. (2014). M13 Virus-Directed Synthesis of Nanostructured Metal Oxides for Lithium–Oxygen Batteries. Nano Letters. 14(8). 4837–4845. 107 indexed citations

18.

Oh, Dahyun, Jifa Qi, Yi‐Chun Lu, et al.. (2013). Biologically enhanced cathode design for improved capacity and cycle life for lithium-oxygen batteries. Nature Communications. 4(1). 2756–2756. 144 indexed citations

19.

Xu, Kang, Dahyun Oh, Hyunjung Yi, et al.. (2012). Genetically Programming Interfaces between Active Materials, Conductive Pathway and Current Collector in Li-Ion Batteries. ECS Transactions. 41(41). 55–64. 2 indexed citations

20.

Lee, Yun Jung, You‐Jin Lee, Dahyun Oh, et al.. (2010). Biologically Activated Noble Metal Alloys at the Nanoscale: For Lithium Ion Battery Anodes. Nano Letters. 10(7). 2433–2440. 113 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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