Addison Y.S. Su

15 papers receiving 421 citations

Peers

Addison Y.S. Su
Comparison fields: 5 of 51
  • Computer Science Applications 161
  • Developmental and Educational Psychology 174
  • Information Systems 194
  • Communication 49
  • Education 185
Replace Manuel Palomo‐Duarte with:
Manuel Palomo‐Duarte Spain
Chee Kit Looi Singapore
Mai Neo Malaysia
Chen Chung Liu Taiwan
Tom H. Brown South Africa
Po-Yao Chao Taiwan
Kinshuk Canada
Zhong Sun China
Oliver Scheuer Germany
Tzu Chien Liu Taiwan
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Citations per year

Countries citing papers authored by Addison Y.S. Su

Since Specialization
Citations

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

Fields of papers citing papers by Addison Y.S. Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Addison Y.S. 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 Addison Y.S. Su. The network helps show where Addison Y.S. Su may publish in the future.

Co-authors

The 15 scholars most cited alongside Addison Y.S. Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Addison Y.S. Su Line = papers co-authored together Addison Y.S. Su links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2010148
2
Effects of Situated Mobile Learning Approach on Learning Motivation and Performance of EFL Students.
2016131
3 201145
4 201639
5 201336
6
Effects of Annotations and Homework on Learning Achievement: An Empirical Study of Scratch Programming Pedagogy
201527
7 20079
8 20155
9 20095
10 20133
11 20143
12 20152
13 20081
14 20151
15 20101
16 20130

About Addison Y.S. Su

Addison Y.S. Su is a scholar working on Information Systems, Developmental and Educational Psychology, Computer Science Applications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 16 papers that have together received 456 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (6 papers), Mobile Learning in Education (6 papers), Teaching and Learning Programming (2 papers), Education and Technology Integration (2 papers), Peer-to-Peer Network Technologies (2 papers), Augmented Reality Applications (2 papers), E-Learning and Knowledge Management (1 paper) and Knowledge Management and Sharing (1 paper). The work is most often cited by research in Computer Science Applications (161 citations), Developmental and Educational Psychology (174 citations), Information Systems (194 citations), Communication (49 citations) and Education (185 citations). Addison Y.S. Su has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Stephen J.H. Yang, Wu‐Yuin Hwang, Jia Zhang, Jeffrey J. P. Tsai, Ting-Jou Ding, Yi‐Zeng Hsieh, Irene Y.L. Chen, Tosti H.C. Chiang, Po-Chyi Su and Jen‐Yao Chung. Their work appears in journals such as Computers & Education, International Journal of Mobile Learning and Organisation, Interactive Learning Environments, Expert Systems with Applications and British Journal of Educational Technology.

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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