Young-Koo Lee

6.7k citations
279 papers · 4.2k · 1 hit paper · h-index 30

Impact in

Papers in

Young-Koo Lee

259 papers receiving 3.9k citations

Young-Koo Lee's Hit Papers

Efficient Tree Structures for High Utility Pattern Mining in Incremental Databases 2009 · 406 citations
4060+5+11Years since publication100200300400

Peers

Young-Koo Lee
Comparison fields: 5 of 138
  • Computer Vision and Pattern Recognition 1.5k
  • Information Systems 1.4k
  • Signal Processing 622
  • Computer Networks and Communications 1.2k
  • Artificial Intelligence 1.5k
Replace Abdul Hanan Abdullah with:
Abdul Hanan Abdullah Malaysia
Lawrence B. Holder United States
Zhiguang Qin China
George Forman United States
Qun Jin Japan
Mykola Pechenizkiy Netherlands
Gary M. Weiss United States
Ge Yu China
Zhoujun Li China
Abdu Gumaei Saudi Arabia
Young-Koo Lee relative to Abdul Hanan Abdullah Malaysia Abdul Hanan Abdullah's profile →
Citations per field
00.5×1.5×1.8×
Abdul Hanan Abdullah · 1×
Citations per year

Countries citing papers authored by Young-Koo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Young-Koo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 279 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficient Tree Structures for High Utility Pattern Mining in Incremental Databases
Hit paper breakdown →
2009406
2 2010372
3 2010125
4 2009111
5 2014107
6 200898
7 200893
8 202377
9 200773
10 201070
11 201368
12 202067
13
Daily life activity tracking application for smart homes using android smartphone
201265
14 201256
15 200954
16 201052
17 201449
18 200949
19 200647
20 201043

About Young-Koo Lee

Young-Koo Lee is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Information Systems and Signal Processing, having authored 279 papers that have together received 4.2k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (49 papers), Data Management and Algorithms (31 papers), Data Mining Algorithms and Applications (29 papers), Energy Efficient Wireless Sensor Networks (28 papers), Advanced Database Systems and Queries (28 papers), IoT and Edge/Fog Computing (25 papers), Graph Theory and Algorithms (24 papers) and Security in Wireless Sensor Networks (23 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Information Systems (1.4k citations), Signal Processing (622 citations), Computer Networks and Communications (1.2k citations) and Artificial Intelligence (1.5k citations). Young-Koo Lee has collaborated with scholars based in South Korea, Bangladesh and China. Frequent co-authors include Sungyoung Lee, Byeong-Soo Jeong, Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed, Tae‐Seong Kim, Adil Khan, Weiwei Yuan, Donghai Guan, Sungyoung Lee and Aftab Alam. Their work appears in journals such as Information Sciences, Applied Intelligence, Sensors, IEEE Access and Expert Systems with Applications.

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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