Youngjun Lee

1.6k total citations
99 papers, 1.2k citations indexed

About

Youngjun Lee is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Youngjun Lee has authored 99 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Information Systems, 26 papers in Computer Networks and Communications and 23 papers in Artificial Intelligence. Recurrent topics in Youngjun Lee's work include Education and Learning Interventions (27 papers), Educational Research and Pedagogy (23 papers) and Educational Systems and Policies (14 papers). Youngjun Lee is often cited by papers focused on Education and Learning Interventions (27 papers), Educational Research and Pedagogy (23 papers) and Educational Systems and Policies (14 papers). Youngjun Lee collaborates with scholars based in South Korea, United States and Puerto Rico. Youngjun Lee's co-authors include Seung Bum Park, Eunha Kim, Sang‐Hee Lee, Seong-Won Kim, Ala Jo, Wansang Cho, Jong-Woo Shin, Hae-Yong Yang, Sungho Jeon and Jin‐Ho Choy and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Accounts of Chemical Research.

In The Last Decade

Youngjun Lee

80 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Youngjun Lee South Korea 18 436 236 172 128 102 99 1.2k
Gottfried Zimmermann Germany 20 283 0.6× 189 0.8× 171 1.0× 77 0.6× 44 0.4× 86 1.2k
David Coleman United States 19 354 0.8× 232 1.0× 243 1.4× 59 0.5× 26 0.3× 59 1.5k
Keiichi Kaneko Japan 18 189 0.4× 183 0.8× 115 0.7× 76 0.6× 36 0.4× 177 1.4k
Yuanzhe Chen China 15 65 0.1× 165 0.7× 71 0.4× 258 2.0× 112 1.1× 45 922
Yi Yu Japan 31 222 0.5× 298 1.3× 99 0.6× 503 3.9× 68 0.7× 124 2.5k
Gábor Kiss Hungary 17 171 0.4× 114 0.5× 23 0.1× 111 0.9× 66 0.6× 130 988
Yuxin Xiao China 15 157 0.4× 562 2.4× 109 0.6× 221 1.7× 5 0.0× 58 1.1k
Junrui Yang China 16 80 0.2× 33 0.1× 122 0.7× 66 0.5× 12 0.1× 49 827
Chih‐Yung Chang Taiwan 24 81 0.2× 202 0.9× 62 0.4× 164 1.3× 47 0.5× 197 2.5k
Young Sang Choi South Korea 18 76 0.2× 534 2.3× 25 0.1× 67 0.5× 14 0.1× 44 1.1k

Countries citing papers authored by Youngjun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Youngjun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngjun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Youngjun Lee. A scholar is included among the top collaborators of Youngjun Lee 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 Youngjun Lee. Youngjun Lee 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
1.
Lee, Jihoon, et al.. (2021). Performance Verification of a Target Tracking System With a Laser Rangefinder. IEEE Access. 9. 30993–31009. 3 indexed citations
2.
Choi, Sang-Kee, Youngjun Lee, Sang Eun Yoon, et al.. (2021). A tetrazine-fused aggregation induced emission luminogen for bioorthogonal fluorogenic bioprobe. Sensors and Actuators B Chemical. 340. 129966–129966. 23 indexed citations
3.
Kim, Seong-Won & Youngjun Lee. (2020). Computational Thinking of Middle School Students in Korea. Journal of the Korea Society of Computer and Information. 25(5). 229–241. 3 indexed citations
4.
Kim, Seong-Won & Youngjun Lee. (2020). Effects of Software Education Using Robots in the Creative Problem-Solving Ability of Middle School Students. The Journal of Korean Association of Computer Education. 23(5). 13–22. 1 indexed citations
5.
Lee, Youngjun, et al.. (2017). Meta-analysis of the programming learning effectiveness depending on the teaching and learning method. Journal of the Korea Society of Computer and Information. 22(11). 125–133. 1 indexed citations
6.
Lee, Youngjun, et al.. (2017). The Development of Teachers’ Training Course about Educational Programming Language to Enhance Informatics Teaching Efficacy for Elementary School Teachers. The Journal of Korean Association of Computer Education. 20(5). 35–47. 2 indexed citations
7.
Lee, Youngjun, et al.. (2016). A meta analysis of programming education effects according to learning activity themes. The Journal of Korean Association of Computer Education. 19(2). 21–29.
8.
Lee, Youngjun, et al.. (2015). The possibility of play education for improving computational thinking of preschoolers. EdMedia: World Conference on Educational Media and Technology. 2015(1). 1160–1163. 1 indexed citations
9.
Kim, Seong-Won & Youngjun Lee. (2015). The Analysis on Research Trends for STEAM education in Korea. EdMedia: World Conference on Educational Media and Technology. 2015(1). 1800–1805. 2 indexed citations
10.
Lee, Youngjun, et al.. (2014). Elementary and Secondary Programming Education Plan Using App Inventor. The Journal of Korean Association of Computer Education. 17(5). 79–88. 3 indexed citations
11.
Kim, Jae‐In, et al.. (2013). Vulnerability to Flash Controller for Secure USB Drives.. 3. 136–145. 3 indexed citations
12.
Lee, Youngjun, et al.. (2012). Optimization of Seoul-Fluor-based lipid droplet bioprobes and their application in microalgae for bio-fuel study. Molecular BioSystems. 9(5). 952–956. 26 indexed citations
13.
Lee, Youngjun, et al.. (2012). The Effect of CPS Programming Model on promoting Elementary school students' divergent thinking. The Journal of Korean Association of Computer Education. 15(2). 1–8. 1 indexed citations
14.
Park, Young-Sun, et al.. (2012). Practice and Implications of Digital Textbook Project. EdMedia: World Conference on Educational Media and Technology. 2012(1). 237–242. 1 indexed citations
15.
Lee, Youngjun, et al.. (2012). A Review and Synthesis of Research in Educational Programming Language. 139–142. 3 indexed citations
16.
Lee, Youngjun, et al.. (2011). Effect of Vibration on Characteristics of Lightweight Air-Trapped Soil. Journal of the Korean geoenvironmental society. 12(4). 5–15.
17.
Lee, Eunkyoung & Youngjun Lee. (2008). The Effects of 4CID Model based Robot Programming Learning on Learners' Flow Level. The Journal of Korean Association of Computer Education. 11(4). 37–46. 3 indexed citations
18.
Lee, Youngjun, et al.. (2008). Elementary and Middle School Teachers’, Students’ and Parents’ Perception of Robot-Aided Education in Korea. EdMedia: World Conference on Educational Media and Technology. 2008(1). 175–183. 17 indexed citations
19.
Lee, Youngjun, et al.. (2008). The Effects of Algorithm Learning with Squeak Etoys on Middle School Students' Problem Solving Ability. 33(2). 170–191. 2 indexed citations
20.
Lee, Youngjun, et al.. (2004). Study on Interactive Self-regulated Learning Strategy in Web-based Learning. The Journal of Korean Association of Computer Education. 7(5). 23–32. 1 indexed citations

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