Minyoung Huh

1.0k total citations
3 papers, 51 citations indexed

About

Minyoung Huh is a scholar working on Automotive Engineering, Cellular and Molecular Neuroscience and Civil and Structural Engineering. According to data from OpenAlex, Minyoung Huh has authored 3 papers receiving a total of 51 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Automotive Engineering, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Civil and Structural Engineering. Recurrent topics in Minyoung Huh's work include Vehicle Noise and Vibration Control (1 paper), Photoreceptor and optogenetics research (1 paper) and Engineering Applied Research (1 paper). Minyoung Huh is often cited by papers focused on Vehicle Noise and Vibration Control (1 paper), Photoreceptor and optogenetics research (1 paper) and Engineering Applied Research (1 paper). Minyoung Huh collaborates with scholars based in United States. Minyoung Huh's co-authors include Ning Zhang, Shaohua Sun, Vikaas S. Sohal, Mohammad‐Reza Alam, Dongjin Seo, Michel M. Maharbiz, Jillian Iafrati and Maysamreza Chamanzar and has published in prestigious journals such as Nature Communications and Purdue e-Pubs (Purdue University System).

In The Last Decade

Minyoung Huh

3 papers receiving 50 citations

Peers

Minyoung Huh

BE

CVPR

AU

RNMI

AMPO

Y. J. Song China

Zaccharie Ramzi France

C. Reimers Austria

N. Soni India

M. Billault France

E. Vogel Germany

Clarisa Sánchez Netherlands

Shimaa El-Meadawy Egypt

Dohoon Ryu South Korea

Jody L. Smith United States

Y. J. Song China

Minyoung Huh

10 ×0.3

BE

13 ×0.8

CVPR

0 ×0.0

AU

14 ×1.2

RNMI

0 ×0.0

AMPO

Citations per year, relative to Minyoung Huh Minyoung Huh (= 1×) peers Y. J. Song

Countries citing papers authored by Minyoung Huh

Since Specialization

Citations

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

Fields of papers citing papers by Minyoung Huh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minyoung Huh

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

All Works

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3 of 3 papers shown

1.

Chamanzar, Maysamreza, Minyoung Huh, Dongjin Seo, et al.. (2019). Ultrasonic sculpting of virtual optical waveguides in tissue. Nature Communications. 10(1). 92–92. 31 indexed citations

2.

Huh, Minyoung, Shaohua Sun, & Ning Zhang. (2019). Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks. 1476–1485. 19 indexed citations

3.

Huh, Minyoung, et al.. (1994). A Study on the Analysis and Improvement of the Acoustic Characteristics of the Muffler in Compressor. Purdue e-Pubs (Purdue University System). 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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