Dongyoung Kim

1.7k citations
63 papers · 1.1k indexed · h-index 19
Topics
Advanced Neural Network Applications (7 papers)Advanced Memory and Neural Computing (5 papers)Adversarial Robustness in Machine Learning (4 papers)

In The Last Decade

Dongyoung Kim

54 papers receiving 1.1k citations

Peers

Dongyoung Kim
Comparison fields: 5 of 138
  • Electrical and Electronic Engineering 296
  • Molecular Biology 295
  • Computer Vision and Pattern Recognition 295
  • Biomedical Engineering 206
  • Artificial Intelligence 197
Replace Soheil Feizi with:
Soheil Feizi United States
Peipei Zhou United States
Michael A. Gelbart United States
Matthew Walker United States
Anirban Chakraborty India
Joe Pitt‐Francis United Kingdom
Hüseyin Şeker United Kingdom
Wouter Caarls Brazil
Clement H. C. Leung Australia
Dongyoung Kim relative to Soheil Feizi United States Soheil Feizi's profile →
Citations per field
00.5×3.3×
Soheil Feizi · 1×
Citations per year

Countries citing papers authored by Dongyoung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dongyoung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongyoung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dongyoung Kim. A scholar is included among the top collaborators of Dongyoung Kim 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 Dongyoung Kim. Dongyoung Kim 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
#WorkIndexed citations
1 0
2 0
3 2
4 2
5 0
6 21
7 111
8 14
9 1
10 122
11 2
12 0
13 42
14 35
15 12
16
Development of the Turnip Aphid, Lipaphis erysimi Kaltenbach (Homoptera: Aphididae), and Test of Insecticidal Efficacy of Some Commercial Natural Products
0
17
Rheological Properties of White Pan Bread Dough Prepared with Angelica gigas nakai Powder
2
18 11
19 13
20 5

About Dongyoung Kim

Dongyoung Kim is a scholar working on Aging, Acoustics and Ultrasonics and Biophysics, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Advanced Memory and Neural Computing (5 papers) and Adversarial Robustness in Machine Learning (4 papers). The work is most often cited by research in Computational Mathematics (14 citations), Computer Vision and Pattern Recognition (295 citations) and Hardware and Architecture (90 citations). Dongyoung Kim has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Sungjoo Yoo, Eunhyeok Park, Junwhan Ahn, Yoon‐Kyoung Cho, E. Sally Ward, Raimund J. Ober, Juhee Park, Sungroh Yoon, Chong‐Ho Choi and Yong‐Deok Kim. Their work appears in journals such as Nature Communications, The Journal of Immunology and Analytical Chemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026