Young-Ju Joo

599 total citations
20 papers, 447 citations indexed

About

Young-Ju Joo is a scholar working on Information Systems, Information Systems and Management and Leadership and Management. According to data from OpenAlex, Young-Ju Joo has authored 20 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 4 papers in Information Systems and Management and 4 papers in Leadership and Management. Recurrent topics in Young-Ju Joo's work include Education and Learning Interventions (10 papers), Technology Adoption and User Behaviour (4 papers) and Healthcare Education and Workforce Issues (4 papers). Young-Ju Joo is often cited by papers focused on Education and Learning Interventions (10 papers), Technology Adoption and User Behaviour (4 papers) and Healthcare Education and Workforce Issues (4 papers). Young-Ju Joo collaborates with scholars based in South Korea. Young-Ju Joo's co-authors include Mimi Bong, Jeong-Jin Kang, Mi‐Ran Choi, Sang Cheol Lee, Mi-Sook Kim and Kyoung‐Youl Lee and has published in prestigious journals such as Educational Technology Research and Development, Journal of the Institute of Electronics and Information Engineers and Journal of Gifted/Talented Education.

In The Last Decade

Young-Ju Joo

13 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young-Ju Joo South Korea 4 248 120 120 85 80 20 447
Jyh Chong Liang Taiwan 8 324 1.3× 105 0.9× 155 1.3× 61 0.7× 109 1.4× 18 510
Yasemin Demiraslan Çevik Türkiye 9 310 1.3× 262 2.2× 90 0.8× 59 0.7× 76 0.9× 34 584
Karin Archer Canada 6 298 1.2× 287 2.4× 91 0.8× 116 1.4× 118 1.5× 12 543
Xiang Hu China 11 304 1.2× 82 0.7× 95 0.8× 35 0.4× 109 1.4× 20 560
Cathy Ka Weng Hoi Macao 8 237 1.0× 89 0.7× 42 0.3× 133 1.6× 107 1.3× 14 440
Yehuda Peled Israel 13 290 1.2× 97 0.8× 58 0.5× 80 0.9× 165 2.1× 44 559
Domenica De Pasquale Canada 9 321 1.3× 341 2.8× 81 0.7× 117 1.4× 144 1.8× 11 578
Lucia Zivcakova Canada 7 223 0.9× 267 2.2× 58 0.5× 116 1.4× 83 1.0× 10 460
Safure Bulut Türkiye 8 509 2.1× 85 0.7× 227 1.9× 36 0.4× 97 1.2× 34 664
Marcia A. B. Delcourt United States 11 380 1.5× 126 1.1× 74 0.6× 84 1.0× 64 0.8× 22 617

Countries citing papers authored by Young-Ju Joo

Since Specialization
Citations

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

Fields of papers citing papers by Young-Ju Joo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young-Ju Joo

This figure shows the co-authorship network connecting the top 25 collaborators of Young-Ju Joo. A scholar is included among the top collaborators of Young-Ju Joo 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 Young-Ju Joo. Young-Ju Joo 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.
Joo, Young-Ju, et al.. (2017). Investigating The Structural Relationships Among Service Quality, Time Management Behavior, Satisfaction and Learning Persistence in K-MOOC for grades. Korean Association for Educational Information and Media. 23(4). 763–788. 1 indexed citations
2.
Joo, Young-Ju, et al.. (2017). Influence of Big Five Personality on Self-Regulation Learning and Achievement in Gifted Education. Journal of Gifted/Talented Education. 27(1). 1–16.
3.
Joo, Young-Ju, et al.. (2016). Structural Relationship between Individual Factor, Quality Factor and Immersion in Impact Analysis of Facebook Persistance. The Journal of The Institute of Internet Broadcasting and Communication. 16(3). 47–55. 1 indexed citations
4.
Joo, Young-Ju, et al.. (2016). Identification of the Structural Relationship between Goal Orientation, Teaching Presence, Approaches to Learning, Satisfaction and Academic Achievement of Online Continuing Education Learners. The Journal of The Institute of Internet Broadcasting and Communication. 16(2). 137–144. 1 indexed citations
5.
Joo, Young-Ju, et al.. (2016). Identification of the Structural Relationship of Basic Psychological Needs and Facebook addiction and Continuance. The Journal of The Institute of Internet Broadcasting and Communication. 16(1). 183–191. 5 indexed citations
6.
Joo, Young-Ju, et al.. (2015). The Structural Relationship among Metacognition, Interactions, Problem Solving Ability and Achievement in Gifted Students Through the 3P Model. Journal of Gifted/Talented Education. 25(1). 161–177. 3 indexed citations
7.
Joo, Young-Ju, et al.. (2015). Identification of the Structural Relationship between Presence, Service Quality, Flow and Learning Satisfaction in Mobile Learning. The Journal of The Institute of Internet Broadcasting and Communication. 15(4). 169–175. 2 indexed citations
8.
Joo, Young-Ju, et al.. (2015). A Study of Factors Influencing Intention to use Technology in Teaching Activities. Journal of the Institute of Electronics and Information Engineers. 52(3). 221–229. 1 indexed citations
9.
Joo, Young-Ju, et al.. (2015). Identification of the Predictability of SNS Intention to Use and Related Variables in Collaborative Learning. The Journal of The Institute of Internet Broadcasting and Communication. 15(3). 191–199. 1 indexed citations
10.
Joo, Young-Ju, et al.. (2014). Analysis of Factors Influencing Continuous Usage Intention of Mobile Learning in Cyber University. The Journal of the Korea Contents Association. 14(6). 477–490. 2 indexed citations
12.
Joo, Young-Ju, et al.. (2013). Importance-Performance Analysis of Influential Factors on Students' Mobile Learning Satisfaction. The Journal of the Korea Contents Association. 13(7). 484–496. 2 indexed citations
13.
Joo, Young-Ju, et al.. (2012). Multi-group Analysis of Employment Status in Isolation, Interaction, Content Satisfaction, Achievement and Persistence in Cyber University. The Journal of the Korea Contents Association. 12(5). 525–540. 4 indexed citations
15.
Kim, Mi-Sook, et al.. (2010). The motivation of selecting major, the satisfaction of major and view of occupation for EMT students. 14(3). 29–40. 3 indexed citations
16.
Joo, Young-Ju, et al.. (2010). Prediction of Academic Self-Efficacy, Perceived Usefulness and Ease of Use on Flow and Academic Achievement in Community College Education. 47(4). 59–67. 2 indexed citations
17.
Joo, Young-Ju, et al.. (2007). Investigation of the Perceived Effectiveness of and User Satisfaction with the Cyber Home-Learning System. Journal of Educational Technology. 23(3). 59–87. 4 indexed citations
18.
Joo, Young-Ju, et al.. (2005). "A Study on the Criteria for Quality Assurance in Cyber Universities". Journal of Educational Technology. 21(1). 95–130. 2 indexed citations
19.
Joo, Young-Ju, et al.. (2000). Self-efficacy for self-regulated learning, academic self-efficacy, and internet self-efficacy in web-based instruction. Educational Technology Research and Development. 48(2). 5–17. 410 indexed citations
20.
Joo, Young-Ju. (1998). A Study on the Telelecturing/Conferencing System. 5(2). 16–29. 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.

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