Youngmoon Lee

1.0k citations
55 papers · 640 · h-index 15

Impact in

Papers in

Youngmoon Lee

52 papers receiving 622 citations

Peers

Youngmoon Lee
Comparison fields: 5 of 97
  • Hardware and Architecture 103
  • Virology 60
  • Computer Networks and Communications 166
  • Information Systems 120
  • Health Informatics 6
Replace Muhammet Baykara with:
Muhammet Baykara Türkiye
Myung Ho Kim South Korea
Asmaa H. Rabie Egypt
Yue Hu China
Dong‐Ho Lee South Korea
Chia Y. Han United States
Mohamed Saber Egypt
Joseph Stephen Bassi Malaysia
Tao You China
Xin Zeng China
Youngmoon Lee relative to Muhammet Baykara Türkiye Muhammet Baykara's profile →
Citations per field
00.5×7.9×
Muhammet Baykara · 1×
Citations per year

Countries citing papers authored by Youngmoon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Youngmoon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Youngmoon Lee, 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 Youngmoon Lee Line = papers co-authored together Youngmoon Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficient memory disaggregation with INFINISWAP
201791
2 202371
3 202343
4 202334
5 201831
6 202330
7 201921
8 202220
9 202220
10 202120
11 202317
12 200616
13
Laser-assisted Grinding Wheel Dressing (II) –Experimental Researches
200915
14 200815
15 201715
16 202314
17 202314
18 202213
19 201712
20 20259

About Youngmoon Lee

Youngmoon Lee is a scholar working on Electrical and Electronic Engineering, Information Systems, Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence, having authored 55 papers that have together received 640 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (6 papers), Advanced Battery Technologies Research (6 papers), Advanced Surface Polishing Techniques (6 papers), Parallel Computing and Optimization Techniques (5 papers), Green IT and Sustainability (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Embedded Systems Design Techniques (4 papers) and Software Engineering Techniques and Practices (3 papers). The work is most often cited by research in Hardware and Architecture (103 citations), Virology (60 citations), Computer Networks and Communications (166 citations), Information Systems (120 citations) and Health Informatics (6 citations). Youngmoon Lee has collaborated with scholars based in South Korea, Pakistan and United States. Frequent co-authors include Kang G. Shin, Jawad Khan, Faheem Khan, Mosharaf Chowdhury, Juncheng Gu, Hoon Sung Chwa, Osman Özkaraca, Hüseyin Gürüler, Seung-Han Yang and Liang He. Their work appears in journals such as Sensors, IEEE Access, Cognition Technology & Work, Scientific Reports and Journal of Material Science 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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