Youngjun Lee

710 total citations
77 papers, 408 citations indexed

About

Youngjun Lee is a scholar working on Computer Networks and Communications, Information Systems and Computer Science Applications. According to data from OpenAlex, Youngjun Lee has authored 77 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Networks and Communications, 45 papers in Information Systems and 9 papers in Computer Science Applications. Recurrent topics in Youngjun Lee's work include Educational Research and Pedagogy (42 papers), Education and Learning Interventions (41 papers) and Educational Systems and Policies (25 papers). Youngjun Lee is often cited by papers focused on Educational Research and Pedagogy (42 papers), Education and Learning Interventions (41 papers) and Educational Systems and Policies (25 papers). Youngjun Lee collaborates with scholars based in South Korea, United States and Germany. Youngjun Lee's co-authors include Seong-Won Kim, Taeyeon Kim, Nathan Burroughs, William H. Schmidt, Israel Touitou, Kwang Y. Lee, Hyoung-Nam Kim, Jong-Woo Shin, Un-Chul Moon and Xiaojie Chen and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Signal Processing and Sensors and Actuators B Chemical.

In The Last Decade

Youngjun Lee

55 papers receiving 355 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 10 166 97 96 71 34 77 408
Yi‐Hsuan Lee United States 14 130 0.8× 72 0.7× 126 1.3× 40 0.6× 71 2.1× 53 546
Yung‐Ting Chuang Taiwan 9 78 0.5× 81 0.8× 89 0.9× 38 0.5× 19 0.6× 38 284
Seongjin Ahn South Korea 7 40 0.2× 140 1.4× 107 1.1× 41 0.6× 16 0.5× 36 405
Mohammed Basheri Saudi Arabia 10 28 0.2× 63 0.6× 72 0.8× 39 0.5× 18 0.5× 38 292
Paulo Gomes Portugal 11 41 0.2× 151 1.6× 30 0.3× 44 0.6× 14 0.4× 82 427
Chris Hancock United Kingdom 8 109 0.7× 76 0.8× 37 0.4× 191 2.7× 118 3.5× 11 564
Reza Feyzi-Behnagh United States 8 149 0.9× 88 0.9× 17 0.2× 128 1.8× 155 4.6× 20 454
Cheng‐Yu Hung Taiwan 10 126 0.8× 92 0.9× 43 0.4× 88 1.2× 177 5.2× 24 395
Noboru Matsuda United States 13 92 0.6× 65 0.7× 23 0.2× 217 3.1× 139 4.1× 45 483
Josep Prieto Spain 10 98 0.6× 165 1.7× 45 0.5× 86 1.2× 53 1.6× 30 341

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.
Kim, Seong-Won & Youngjun Lee. (2022). Developing Students’ Attitudes toward Convergence and Creative Problem Solving through Multidisciplinary Education in Korea. Sustainability. 14(16). 9929–9929. 7 indexed citations
2.
Kim, Seong-Won, et al.. (2021). Development of Teaching Efficacy Belief Instrument about Artificial Intelligence for Pre-service Teachers. The Journal of Korean Association of Computer Education. 24(1). 47–61. 3 indexed citations
3.
Kim, Seong-Won & Youngjun Lee. (2020). Effects of Programming-Based TPACK Education Program on TPACK of Pre-service Teachers. The Journal of Korean Association of Computer Education. 23(4). 79–89. 3 indexed citations
4.
Kim, Seong-Won & Youngjun Lee. (2019). The Changes of Self-efficacy Beliefs of Pre-service Teachers for Technology Integration through Programming-based TPACK Educational Program. Journal of the Korea Society of Computer and Information. 24(4). 185–193. 1 indexed citations
5.
Kim, Seong-Won & Youngjun Lee. (2018). Pre-Service Teachers' Attitudes toward Robots: Analysis of Difference According to Variables. The Journal of Korean Association of Computer Education. 21(4). 21–27. 1 indexed citations
6.
Kim, Seong-Won & Youngjun Lee. (2018). The Effect of Programming-based TPACK Education Program on Self-efficacy Beliefs about Technology Integration of Pre-service Teachers. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 422–426. 2 indexed citations
7.
Kim, Seong-Won & Youngjun Lee. (2017). Development of TPACK-P Education Program for Improving Technological Pedagogical Content Knowledge of Pre-service Teachers. Journal of the Korea Society of Computer and Information. 22(7). 141–152. 5 indexed citations
8.
Lee, Youngjun, et al.. (2017). Effects of Informatics Education on Career Development Ability of the Science High School Students. The Journal of Korean Association of Computer Education. 20(3). 13–23.
9.
Lee, Youngjun, et al.. (2017). The Effects of Programming-Based Lessons on Science Teachers' Perceptions Related to TPACK. Journal of The Korean Association For Science Education. 37(4). 693–703. 3 indexed citations
10.
Lee, Youngjun, et al.. (2014). The analysis of learners' difficulties in programming learning. The Journal of Korean Association of Computer Education. 17(5). 89–98. 9 indexed citations
11.
Lee, Youngjun, et al.. (2014). Design of Programming Education with App Inventor. 237–240.
12.
Lee, Youngjun, et al.. (2013). Studying the Possibility of Puzzle Based Learning for Informatics Gifted Elementary Student Education. The Journal of Korean Association of Computer Education. 16(5). 9–16. 1 indexed citations
13.
Lee, Youngjun, et al.. (2013). ANALYSIS OF INSTRUCTION MODELS IN SMART EDUCATION. International Association for Development of the Information Society. 3 indexed citations
14.
Lee, Eunkyoung, et al.. (2013). A COMPARATIVE STUDY OF E-LEARNING SYSTEM FOR SMART EDUCATION. International Association for Development of the Information Society.
15.
Park, Young-Sun, et al.. (2013). Direction of Contents Development for SMART Education.. International Association for Development of the Information Society. 1 indexed citations
16.
Lee, Youngjun, et al.. (2012). The Status of Informatics Gifted Education in Korea. EdMedia: World Conference on Educational Media and Technology. 2012(1). 2660–2664. 1 indexed citations
17.
Lee, Youngjun, et al.. (2012). Prepare Smart Education: Furnishing Educational Materials. EdMedia: World Conference on Educational Media and Technology. 2012(1). 1649–1654. 1 indexed citations
18.
Lee, Youngjun, Woong Lim, & Eunkyoung Lee. (2010). An Informatics Education Program for Enhancing Creative Problem Solving Ability. The Journal of Korean Association of Computer Education. 13(1). 1–8.
19.
Park, Hyun-Woo, et al.. (2009). A Numerical Analysis on a Dependence of Hydrogen Diaphragm Compressor Performance on Hydraulic Oil Conditions. Journal of Hydrogen and New Energy. 20(6). 471–478. 3 indexed citations
20.
Lee, Eunkyoung & Youngjun Lee. (2007). The Effect of a Robot Programming Learning on Problem Solving Ability. The Journal of Korean Association of Computer Education. 10(6). 19–27. 2 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.

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