Jiun‐Yu Wu

2.3k total citations
40 papers, 1.7k citations indexed

About

Jiun‐Yu Wu is a scholar working on Education, Developmental and Educational Psychology and Computer Science Applications. According to data from OpenAlex, Jiun‐Yu Wu has authored 40 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Education, 15 papers in Developmental and Educational Psychology and 11 papers in Computer Science Applications. Recurrent topics in Jiun‐Yu Wu's work include Online Learning and Analytics (11 papers), Online and Blended Learning (9 papers) and Innovative Teaching and Learning Methods (8 papers). Jiun‐Yu Wu is often cited by papers focused on Online Learning and Analytics (11 papers), Online and Blended Learning (9 papers) and Innovative Teaching and Learning Methods (8 papers). Jiun‐Yu Wu collaborates with scholars based in Taiwan, United States and Japan. Jiun‐Yu Wu's co-authors include Oi‐Man Kwok, Jan N. Hughes, Jantine L. Spilt, Yuan‐Hsuan Lee, Victor Villarreal, Xie Chen, Victor L. Willson, Jie-Li Tsai, Hersholt C. Waxman and Chin‐Chung Tsai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Child Development and Journal of Educational Psychology.

In The Last Decade

Jiun‐Yu Wu

40 papers receiving 1.6k citations

Peers

Jiun‐Yu Wu
Comparison fields: 5 of 98
  • Education 986
  • Developmental and Educational Psychology 348
  • Sociology and Political Science 300
  • Clinical Psychology 290
  • Social Psychology 239
Replace Jianxia Du with:
Jianxia Du Macao
Demei Shen United States
Kyu Yon Lim South Korea
Dorit Alt Israel
Hatice Yıldız Durak Türkiye
Ana‐Paula Correia United States
Chin‐Hsi Lin Hong Kong
Petri Nokelainen Finland
Yavuz Akbulut Türkiye
Jered Borup United States
Jianxia Du Macao View profile →
Citations per field, relative to Jiun‐Yu Wu
Jiun‐Yu Wu · 1×
Citations per year, relative to Jiun‐Yu Wu
Jiun‐Yu Wu · 1×

Countries citing papers authored by Jiun‐Yu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jiun‐Yu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiun‐Yu Wu. 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 Jiun‐Yu Wu. The network helps show where Jiun‐Yu Wu may publish in the future.

Co-authorship network of co-authors of Jiun‐Yu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiun‐Yu Wu. A scholar is included among the top collaborators of Jiun‐Yu Wu 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 Jiun‐Yu Wu. Jiun‐Yu Wu 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
# Work Indexed citations
1 1
2 6
3 14
4 2
5 26
6 3
7
Using Data Analytics to Investigate Attendees’ Behaviors and Psychological States in a Virtual Academic Conference
11
8
Analytics 2.0 for Precision Education: An Integrative Theoretical Framework of the Human and Machine Symbiotic Learning
10
9 5
10 9
11 2
12 68
13 65
14 13
15 3
16 47
17
Revisit the Effect of Teaching and Learning with Technology.
39
18 230
19 128
20 142

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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