Youngbin Kim

1.9k citations
97 papers · 1.3k · h-index 16

Impact in

Papers in

Youngbin Kim

81 papers receiving 1.3k citations

Peers

Youngbin Kim
Comparison fields: 5 of 147
  • Health Informatics 28
  • Information Systems 295
  • Management Science and Operations Research 160
  • Computational Mathematics 7
  • Artificial Intelligence 330
Replace Bhawani Shankar Chowdhry with:
Bhawani Shankar Chowdhry Pakistan
Fadi Farha China
James She Hong Kong
Jianliang Gao China
Boyang Li China
David Gil Spain
Jaiteg Singh India
Fawaz Alsolami Saudi Arabia
Mohsin Raza United Kingdom
Yuan Miao China
Youngbin Kim relative to Bhawani Shankar Chowdhry Pakistan Bhawani Shankar Chowdhry's profile →
Citations per field
00.5×
Bhawani Shankar Chowdhry · 1×
Citations per year

Countries citing papers authored by Youngbin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Youngbin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Youngbin Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Youngbin Kim Line = papers co-authored together Youngbin Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016204
2 2018200
3 2018152
4 201866
5 202162
6 201760
7 201954
8 201849
9 202128
10 200627
11 202321
12 201920
13 202120
14 201519
15 202019
16 201916
17 202015
18 201213
19 201912
20 202211

About Youngbin Kim

Youngbin Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 97 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Video Analysis and Summarization (6 papers), Parallel Computing and Optimization Techniques (6 papers), Multimodal Machine Learning Applications (6 papers), Computer Graphics and Visualization Techniques (6 papers), Radiation Effects in Electronics (5 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Health Informatics (28 citations), Information Systems (295 citations), Management Science and Operations Research (160 citations), Computational Mathematics (7 citations) and Artificial Intelligence (330 citations). Youngbin Kim has collaborated with scholars based in South Korea, United States and Hong Kong. Frequent co-authors include Shin-Jin Kang, Chang‐Hun Kim, Jaegul Choo, Tae Hyeong Kim, Edward Choi, Jimeng Sun, Jimmy Lin, Minje Choi, Soon‐Wook Kwon and Bum Chul Kwon. Their work appears in journals such as IEEE Access, PLoS ONE, Expert Systems with Applications, Applied Sciences and Journal of Materials Research and Technology.

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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