Yu-Ling Chu

1.1k total citations · 1 hit paper
11 papers, 686 citations indexed

About

Yu-Ling Chu is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Developmental and Educational Psychology. According to data from OpenAlex, Yu-Ling Chu has authored 11 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Developmental and Educational Psychology. Recurrent topics in Yu-Ling Chu's work include Mobile Learning in Education (10 papers), Educational Games and Gamification (3 papers) and Augmented Reality Applications (3 papers). Yu-Ling Chu is often cited by papers focused on Mobile Learning in Education (10 papers), Educational Games and Gamification (3 papers) and Augmented Reality Applications (3 papers). Yu-Ling Chu collaborates with scholars based in Taiwan and China. Yu-Ling Chu's co-authors include Tsung-Yu Liu, Tan-Hsu Tan, Tan‐Hsu Tan, Chi‐Cheng Chang, Chien‐Hsu Chen and Yang‐Cheng Lin and has published in prestigious journals such as Computers & Education, Educational Technology & Society and Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics.

In The Last Decade

Yu-Ling Chu

11 papers receiving 611 citations

Hit Papers

Using ubiquitous games in an English listening and speaki... 2010 2026 2015 2020 2010 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu-Ling Chu Taiwan 7 375 289 206 176 99 11 686
Tsung-Yu Liu Taiwan 8 382 1.0× 306 1.1× 222 1.1× 146 0.8× 114 1.2× 20 736
Inmaculada Arnedillo‐Sánchez Ireland 9 612 1.6× 208 0.7× 391 1.9× 108 0.6× 180 1.8× 24 920
Yao Ting Sung Taiwan 15 281 0.7× 247 0.9× 320 1.6× 48 0.3× 74 0.7× 36 645
Carolina Islas Sedano Finland 10 118 0.3× 245 0.8× 108 0.5× 79 0.4× 138 1.4× 27 524
Nicoletta Di Blas Italy 15 108 0.3× 112 0.4× 133 0.6× 84 0.5× 97 1.0× 79 553
Yun Wen Singapore 14 139 0.4× 242 0.8× 242 1.2× 109 0.6× 25 0.3× 47 523
Tzu‐Chi Yang Taiwan 12 335 0.9× 372 1.3× 300 1.5× 72 0.4× 63 0.6× 27 823
Christoph Göth Switzerland 6 427 1.1× 194 0.7× 212 1.0× 79 0.4× 122 1.2× 9 568
Jung-Chuan Yen Taiwan 8 153 0.4× 132 0.5× 164 0.8× 98 0.6× 38 0.4× 16 404
Qing-Ke Fu China 11 301 0.8× 319 1.1× 427 2.1× 32 0.2× 88 0.9× 12 828

Countries citing papers authored by Yu-Ling Chu

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Ling Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Ling Chu. 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 Yu-Ling Chu. The network helps show where Yu-Ling Chu may publish in the future.

Co-authorship network of co-authors of Yu-Ling Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Ling Chu. A scholar is included among the top collaborators of Yu-Ling Chu 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 Yu-Ling Chu. Yu-Ling Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Tan, Tan‐Hsu, et al.. (2012). Educational Affordances of a Ubiquitous Learning Environment in a Natural Science Course. Educational Technology & Society. 15(2). 206–219. 20 indexed citations
3.
Liu, Tsung-Yu, Yu-Ling Chu, & Tan‐Hsu Tan. (2012). Using computer games in a computer course to improve learning. 35. W2C–16. 3 indexed citations
4.
Liu, Tsung-Yu & Yu-Ling Chu. (2010). Using ubiquitous games in an English listening and speaking course: Impact on learning outcomes and motivation. Computers & Education. 55(2). 630–643. 397 indexed citations breakdown →
5.
Liu, Tsung-Yu, Tan-Hsu Tan, & Yu-Ling Chu. (2009). Outdoor Natural Science Learning with an RFID-Supported Immersive Ubiquitous Learning Environment. Educational Technology & Society. 12(4). 161–175. 144 indexed citations
6.
Liu, Tsung-Yu & Yu-Ling Chu. (2009). Educational Affordances of Ubiquitous Learning Environment for Natural Science Learning. 290–292. 4 indexed citations
7.
Liu, Tsung-Yu & Yu-Ling Chu. (2008). Handheld augmented reality supported immersive ubiquitous learning system. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics. 28. 2454–2458. 5 indexed citations
8.
Tan, Tan‐Hsu, et al.. (2007). 2D Barcode and Augmented Reality Supported English Learning System. 5–10. 85 indexed citations
9.
Chu, Yu-Ling, et al.. (2007). Handheld Computer Supported Context-aware learning with 2D Barcodes. 485–486. 9 indexed citations
10.
Liu, Tsung-Yu, Yu-Ling Chu, Tan-Hsu Tan, & Chi‐Cheng Chang. (2007). RFID-based Ubiquitous Learning Environment for Outdoor Learning. 675–677. 9 indexed citations
11.
Liu, Tsung-Yu, Tan‐Hsu Tan, & Yu-Ling Chu. (2006). The Ubiquitous Museum Learning Environment: Concept, Design, Implementation, and a Case Study. 989–991. 7 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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