Irene Y.L. Chen

708 total citations
20 papers, 491 citations indexed

About

Irene Y.L. Chen is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Irene Y.L. Chen has authored 20 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 7 papers in Artificial Intelligence and 7 papers in Computer Science Applications. Recurrent topics in Irene Y.L. Chen's work include Online Learning and Analytics (6 papers), Knowledge Management and Sharing (5 papers) and Intelligent Tutoring Systems and Adaptive Learning (5 papers). Irene Y.L. Chen is often cited by papers focused on Online Learning and Analytics (6 papers), Knowledge Management and Sharing (5 papers) and Intelligent Tutoring Systems and Adaptive Learning (5 papers). Irene Y.L. Chen collaborates with scholars based in Taiwan, Japan and United States. Irene Y.L. Chen's co-authors include Stephen J.H. Yang, Kinshuk Kinshuk, Nian Shing Chen, Hiroaki Ogata, Brendan Flanagan, Jia Zhang, Anna Y.Q. Huang, Addison Y.S. Su, Gökhan Akçapınar and Owen H.T. Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Human-Computer Studies and Educational Technology & Society.

In The Last Decade

Irene Y.L. Chen

20 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irene Y.L. Chen Taiwan 9 233 128 128 121 111 20 491
Vladimir Soroka Israel 9 173 0.7× 142 1.1× 61 0.5× 148 1.2× 57 0.5× 15 456
Luanne Freund Canada 15 134 0.6× 90 0.7× 160 1.3× 429 3.5× 188 1.7× 59 726
Dejin Zhao United States 8 302 1.3× 337 2.6× 113 0.9× 140 1.2× 74 0.7× 14 667
Sunil Hazari United States 12 107 0.5× 196 1.5× 61 0.5× 109 0.9× 25 0.2× 35 462
Mohamed Amine Chatti Germany 10 97 0.4× 89 0.7× 39 0.3× 169 1.4× 96 0.9× 28 491
Tsung Teng Chen Taiwan 8 173 0.7× 164 1.3× 92 0.7× 71 0.6× 70 0.6× 17 408
L. Efimova Netherlands 8 207 0.9× 132 1.0× 64 0.5× 68 0.6× 19 0.2× 12 375
Jane Manning United States 4 98 0.4× 147 1.1× 50 0.4× 57 0.5× 33 0.3× 4 381
Bo Leuf United States 4 465 2.0× 98 0.8× 43 0.3× 285 2.4× 119 1.1× 5 749
Carmen Holotescu Romania 12 102 0.4× 163 1.3× 27 0.2× 188 1.6× 70 0.6× 41 533

Countries citing papers authored by Irene Y.L. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Irene Y.L. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irene Y.L. Chen. 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 Irene Y.L. Chen. The network helps show where Irene Y.L. Chen may publish in the future.

Co-authorship network of co-authors of Irene Y.L. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Irene Y.L. Chen. A scholar is included among the top collaborators of Irene Y.L. Chen 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 Irene Y.L. Chen. Irene Y.L. Chen 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.
Chen, Irene Y.L., et al.. (2022). How students’ self-assessment behavior affects their online learning performance. Computers and Education Artificial Intelligence. 3. 100058–100058. 31 indexed citations
2.
Chen, Irene Y.L., et al.. (2021). From Human Grading to Machine Grading: Automatic Diagnosis of e-Book Text Marking Skills in Precision Education. SHILAP Revista de lepidopterología. 1 indexed citations
3.
Chen, Irene Y.L., et al.. (2021). Automatic Generation of Cloze Items for Repeated Testing to Improve Reading Comprehension. SHILAP Revista de lepidopterología. 21 indexed citations
4.
Chen, Irene Y.L., et al.. (2021). Using a Summarized Lecture Material Recommendation System to Enhance Students' Preclass Preparation in a Flipped Classroom. Educational Technology & Society. 24(2). 1–13. 8 indexed citations
5.
Chen, Irene Y.L., et al.. (2020). Can Self-Regulated Learning Intervention Improve Student Reading Performance in Flipped Classrooms?. International Journal of Online Pedagogy and Course Design. 10(4). 1–13. 7 indexed citations
6.
Chen, Irene Y.L., et al.. (2020). Applying key concepts extraction for evaluating the quality of students' highlights on e-Book. Kyoto University Research Information Repository (Kyoto University). 1. 284–288. 2 indexed citations
7.
Lu, Owen H.T., et al.. (2020). Sequence pattern mining for the identification of reading behavior based on SQ3R reading strategy. 307–311. 1 indexed citations
8.
Huang, Anna Y.Q., et al.. (2020). Using sequence clustering to unveil students' learning strategies and explore the relationship with cognitive load. 267–271. 1 indexed citations
9.
Huang, Anna Y.Q., et al.. (2020). The Implementation of Precision Education for Learning Analytics. 327–332. 4 indexed citations
10.
Yang, Stephen J.H., Jeff Huang, Anna Y.Q. Huang, & Irene Y.L. Chen. (2016). MOOCs for K-12 and Higher Education in Taiwan. 361–365. 2 indexed citations
11.
Chen, Irene Y.L., Nian Shing Chen, & Kinshuk Kinshuk. (2009). Examining the Factors Influencing Participants' Knowledge Sharing Behavior in Virtual Learning Communities. Educational Technology & Society. 12(1). 134–148. 212 indexed citations
12.
Chen, Irene Y.L.. (2009). Social capital, IT capability, and the success of knowledge management systems. Knowledge Management & E-Learning An International Journal. 36–50. 6 indexed citations
13.
Yang, Stephen J.H., Irene Y.L. Chen, Kinshuk Kinshuk, & Nian Shing Chen. (2007). Enhancing the quality of e-learning in virtual learning communities by finding quality learning content and trustworthy collaborators. Educational Technology & Society. 10(2). 84–95. 31 indexed citations
14.
Yang, Stephen J.H., Irene Y.L. Chen, & Addison Y.S. Su. (2007). Personalized Annotation Management: A Web 2.0 Social Software for Enhancing Knowledge Sharing in Communities of Practice. 7. 625–627. 9 indexed citations
15.
Yang, Stephen J.H. & Irene Y.L. Chen. (2007). A social network-based system for supporting interactive collaboration in knowledge sharing over peer-to-peer network. International Journal of Human-Computer Studies. 66(1). 36–50. 106 indexed citations
16.
Yang, Stephen J.H., Jia Zhang, & Irene Y.L. Chen. (2007). Ubiquitous Provision of Context-Aware Web Services. International Journal of Web Services Research. 4(4). 83–103. 21 indexed citations
17.
Yang, Stephen J.H., et al.. (2007). Social Network Supports in Knowledge Sharing. 29. 148–148. 1 indexed citations
18.
Yang, Stephen J.H., Jia Zhang, & Irene Y.L. Chen. (2007). Web 2.0 Services for Identifying Communities of Practice through Social Networks. 130–137. 14 indexed citations
19.
Yang, Stephen J.H., et al.. (2007). Applying Content Adaptation to Mobile Learning. 9. 157–157. 7 indexed citations
20.
Yang, Stephen J.H., et al.. (2007). Applying Content Adaptation Technique to Enhance Mobile Learning on Blackboard Learning System. 7. 247–251. 6 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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