Dongyeop Kang

1.1k total citations
59 papers, 467 citations indexed

About

Dongyeop Kang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Dongyeop Kang has authored 59 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Dongyeop Kang's work include Topic Modeling (25 papers), Natural Language Processing Techniques (21 papers) and Recommender Systems and Techniques (5 papers). Dongyeop Kang is often cited by papers focused on Topic Modeling (25 papers), Natural Language Processing Techniques (21 papers) and Recommender Systems and Techniques (5 papers). Dongyeop Kang collaborates with scholars based in United States, South Korea and Canada. Dongyeop Kang's co-authors include Eduard Hovy, Sangchul Won, Madeleine van Zuylen, Waleed Ammar, Roy Schwartz, Bhavana Dalvi, Sebastian Kohlmeier, Zhou Yu, Weiyan Shi and Yujin Jang and has published in prestigious journals such as Applied Sciences, Optical Engineering and Advanced Materials Interfaces.

In The Last Decade

Dongyeop Kang

53 papers receiving 442 citations

Peers

Dongyeop Kang
Comparison fields: 5 of 71
  • Artificial Intelligence 339
  • Information Systems 154
  • Computer Vision and Pattern Recognition 88
  • Industrial and Manufacturing Engineering 36
  • Molecular Biology 16
Replace Niranjan N. Chiplunkar with:
Niranjan N. Chiplunkar India
Kaixuan Ji China
Sidi Mohamed Benslimane Algeria
Hongbin Yu China
Boran Yang China
Qigang Gao Canada
Fucheng You China
Abdullah Mohd Zın Malaysia
Qiben Yan United States
Longfei Li China
Niranjan N. Chiplunkar India View profile →
Citations per field, relative to Dongyeop Kang
Dongyeop Kang · 1×
Citations per year, relative to Dongyeop Kang
Dongyeop Kang · 1×

Countries citing papers authored by Dongyeop Kang

Since Specialization
Citations

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

Fields of papers citing papers by Dongyeop Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongyeop Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Dongyeop Kang. A scholar is included among the top collaborators of Dongyeop Kang 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 Dongyeop Kang. Dongyeop Kang 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
# Work Indexed citations
1 1
2 5
3 1
4 1
5 1
6 2
7 10
8 7
9 1
10 7
11 9
12 7
13 1
14 8
15 60
16 54
17 93
18
News2Images: Automatically Summarizing News Articles into Image-Based Contents via Deep Learning
5
19
Robust fuzzy output feedback control for chaotic systems with time delay
2
20
Robust tracking control of T-S fuzzy systems based on fuzzy Lyapunov approach
2

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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