Chien‐Yuan Su

1.1k total citations
57 papers, 761 citations indexed

About

Chien‐Yuan Su is a scholar working on Developmental and Educational Psychology, Education and Computer Science Applications. According to data from OpenAlex, Chien‐Yuan Su has authored 57 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Developmental and Educational Psychology, 18 papers in Education and 14 papers in Computer Science Applications. Recurrent topics in Chien‐Yuan Su's work include Online Learning and Analytics (12 papers), Online and Blended Learning (12 papers) and Innovative Teaching and Learning Methods (12 papers). Chien‐Yuan Su is often cited by papers focused on Online Learning and Analytics (12 papers), Online and Blended Learning (12 papers) and Innovative Teaching and Learning Methods (12 papers). Chien‐Yuan Su collaborates with scholars based in Taiwan, China and United States. Chien‐Yuan Su's co-authors include Cheng-Huan Chen, Chiung‐Hui Chiu, Ming-Che Lee, Tzone I. Wang, Fan Ouyang, K. Wódkiewicz, Jyh‐Ping Hsu, Wen‐Yi Shau, Feng‐Shu Hsieh and Tai‐Ho Hung and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Physical Review A.

In The Last Decade

Chien‐Yuan Su

55 papers receiving 725 citations

Peers

Chien‐Yuan Su
Comparison fields: 5 of 107
  • Education 210
  • Computer Science Applications 207
  • Developmental and Educational Psychology 197
  • Information Systems 171
  • Artificial Intelligence 143
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Citations per field, relative to Chien‐Yuan Su
Chien‐Yuan Su · 1×
Citations per year, relative to Chien‐Yuan Su
Chien‐Yuan Su · 1×

Countries citing papers authored by Chien‐Yuan Su

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Yuan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Yuan Su. 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 Chien‐Yuan Su. The network helps show where Chien‐Yuan Su may publish in the future.

Co-authorship network of co-authors of Chien‐Yuan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Yuan Su. A scholar is included among the top collaborators of Chien‐Yuan Su 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 Chien‐Yuan Su. Chien‐Yuan Su 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 2
2 1
3 6
4 3
5 39
6 41
7 48
8 4
9
Using the BookRoll E-Book System to Promote Self-Regulated Learning, Self-Efficacy and Academic Achievement for University Students
35
10 7
11 1
12 8
13
Designing and implementing a personalized remedial learning system for enhancing the programming learning
32
14 4
15 4
16 5
17
Investigating the impacts of RFID application on supply chain dynamics with chaos theory
2
18 3
19 2
20 42

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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