Ju Ling Shih

497 total citations
21 papers, 343 citations indexed

About

Ju Ling Shih is a scholar working on Developmental and Educational Psychology, Information Systems and Computer Science Applications. According to data from OpenAlex, Ju Ling Shih has authored 21 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Developmental and Educational Psychology, 9 papers in Information Systems and 4 papers in Computer Science Applications. Recurrent topics in Ju Ling Shih's work include Educational Games and Gamification (11 papers), Mobile Learning in Education (6 papers) and Innovative Teaching and Learning Methods (5 papers). Ju Ling Shih is often cited by papers focused on Educational Games and Gamification (11 papers), Mobile Learning in Education (6 papers) and Innovative Teaching and Learning Methods (5 papers). Ju Ling Shih collaborates with scholars based in Taiwan and Finland. Ju Ling Shih's co-authors include Gwo Jen Hwang, Chin‐Chung Tsai, Hui‐Chun Chu, Meng‐Jung Tsai, Jyh Chong Liang and Hui Su and has published in prestigious journals such as Educational Technology & Society, Interactive Learning Environments and International Journal of Mobile Learning and Organisation.

In The Last Decade

Ju Ling Shih

16 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ju Ling Shih Taiwan 6 214 142 141 67 36 21 343
Monther M. Elaish Libya 7 213 1.0× 172 1.2× 114 0.8× 57 0.9× 24 0.7× 17 374
Zachary Warner United States 5 203 0.9× 208 1.5× 79 0.6× 83 1.2× 30 0.8× 7 362
Dirk Frohberg Switzerland 5 292 1.4× 142 1.0× 72 0.5× 78 1.2× 37 1.0× 8 355
Philip Vahey United States 9 153 0.7× 198 1.4× 84 0.6× 46 0.7× 24 0.7× 20 358
Chiu-Pin Lin Taiwan 11 186 0.9× 218 1.5× 216 1.5× 57 0.9× 42 1.2× 31 428
Alberto Andújar Spain 10 207 1.0× 222 1.6× 86 0.6× 59 0.9× 18 0.5× 16 420
Fei-Ching Chen Taiwan 7 146 0.7× 125 0.9× 98 0.7× 60 0.9× 16 0.4× 13 281
Ivanildo José de Melo Filho Brazil 5 86 0.4× 107 0.8× 182 1.3× 78 1.2× 26 0.7× 28 321
Dan Corlett United Kingdom 4 384 1.8× 166 1.2× 90 0.6× 101 1.5× 46 1.3× 6 466
T.‐C. Liu Taiwan 5 180 0.8× 170 1.2× 173 1.2× 43 0.6× 18 0.5× 7 375

Countries citing papers authored by Ju Ling Shih

Since Specialization
Citations

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

Fields of papers citing papers by Ju Ling Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju Ling Shih. 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 Ju Ling Shih. The network helps show where Ju Ling Shih may publish in the future.

Co-authorship network of co-authors of Ju Ling Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Ju Ling Shih. A scholar is included among the top collaborators of Ju Ling Shih 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 Ju Ling Shih. Ju Ling Shih 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.
Shih, Ju Ling, et al.. (2020). An exploration of students’ computational thinking performance in a scenario-based robotic learning game. 99–100. 1 indexed citations
2.
Shih, Ju Ling, et al.. (2019). Exploring the role of algorithm in elementary school students’ computational thinking skills from a robotic game. 217–222.
3.
Shih, Ju Ling, et al.. (2019). Effects of the interdisciplinary robotic game to elementary school students’abilities of computational thinking and STEM. 95–103.
4.
Shih, Ju Ling, et al.. (2018). Analysing Group Dynamics of a Digital Game-Based Adventure Education Course. Educational Technology & Society. 21(4). 51–63. 1 indexed citations
5.
Shih, Ju Ling, et al.. (2017). The design and evaluation of a STEM interdisciplinary game-based learning about the great voyage. 546–554. 1 indexed citations
6.
Shih, Ju Ling, et al.. (2016). Advancing Adventure Education Using Digital Motion-Sensing Games.. Educational Technology & Society. 19(4). 178–189. 7 indexed citations
7.
Shih, Ju Ling, et al.. (2015). A simulated learning environment of history games for enhancing players’ cultural awareness. Interactive Learning Environments. 23(2). 191–211. 23 indexed citations
8.
Shih, Ju Ling, et al.. (2014). Using Instructional Pervasive Game for School Children's Cultural Learning.. Educational Technology & Society. 17(2). 169–182. 20 indexed citations
9.
Shih, Ju Ling, et al.. (2014). The Integration of Concept Mapping in a Dynamic Assessment Model for Teaching and Learning Accounting. Educational Technology & Society. 17(1). 141–153. 15 indexed citations
10.
Shih, Ju Ling, et al.. (2013). Developing computer adventure education games on mobile devices for conducting cooperative problem-solving activities. International Journal of Mobile Learning and Organisation. 7(2). 81–81. 4 indexed citations
11.
Shih, Ju Ling, et al.. (2013). The evaluation framework for the group development process of adventure education game. 1 indexed citations
12.
Shih, Ju Ling, et al.. (2013). Rational emotive path: 3D game as the emotion analysis tool for counselling purposes. International Journal of Arts and Technology. 6(3). 255–255. 1 indexed citations
13.
Shih, Ju Ling, et al.. (2013). The instructional application of augmented reality in local history pervasive game. 1 indexed citations
14.
Shih, Ju Ling, et al.. (2011). The learning effectiveness of pervasive game integrated with inquiry-based navigation system. 414–421. 1 indexed citations
15.
Hwang, Gwo Jen, et al.. (2010). A Decision-Tree-Oriented Guidance Mechanism for Conducting Nature Science Observation Activities in a Context-Aware Ubiquitous Learning Environment. Educational Technology & Society. 13(2). 53–64. 65 indexed citations
16.
Shih, Ju Ling, et al.. (2010). An Inquiry-based Mobile Learning Approach to Enhancing Social Science Learning Effectiveness. Educational Technology & Society. 13(4). 50–62. 196 indexed citations
17.
Shih, Ju Ling, et al.. (2010). Building virtual collaborative research community using knowledge management approach. Knowledge Management & E-Learning An International Journal. 293–311. 2 indexed citations
18.
Shih, Ju Ling, et al.. (2009). Using PDA to enhance social science learning with inquiry-based strategies. 543–550. 1 indexed citations
19.
Shih, Ju Ling, et al.. (2009). Analysis of student attitudes for participating in a context-aware ubiquitous learning activity with repertory grid approach. 255–259.
20.
Shih, Ju Ling & Hui Su. (2008). Analyzing children's cognitive activities in digital problem-solving learning games "william adventure": An in-depth case study. 651–658.

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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