I-Ling Cheng

13 papers receiving 348 citations

Peers

I-Ling Cheng
Comparison fields: 5 of 61
  • Computer Science Applications 92
  • Information Systems 140
  • Education 182
  • Developmental and Educational Psychology 75
  • Human-Computer Interaction 21
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Xiuhan Li China
Zaleha Abdullah Malaysia
Carmen Fernández-Panadero Spain
Jirarat Sitthiworachart Thailand
Daniel López-Fernández Spain
Abdellah Ibrahim Mohammed Elfeky Saudi Arabia
Maram Meccawy Saudi Arabia
Tony Houghton Austria
Sie Wai Chew Taiwan
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Citations per year

Countries citing papers authored by I-Ling Cheng

Since Specialization
Citations

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

Fields of papers citing papers by I-Ling Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside I-Ling Cheng, 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 I-Ling Cheng Line = papers co-authored together I-Ling Cheng links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2016176
2 202095
3 201941
4 202123
5 201818
6 20235
7 20184
8
Multi-Modal Stories: LIS Students Explore Reading, Literacy, and Library Service Through the Lens of ‘The 39 Clues”
20123
9 20182
10 20162
11 20202
12
Exploring Factors Influencing K-12 Teachers Information-Seeking Behaviors on Educational Portals
20131
13
Factors Affecting the Usability of Educational Portals and their Influence on the Information Practices of Pre-Collegiate Educators
20151

About I-Ling Cheng

I-Ling Cheng is a scholar working on Education, Developmental and Educational Psychology, Information Systems, Artificial Intelligence and Media Technology, having authored 13 papers that have together received 373 indexed citations. Recurring topics across this work include Online and Blended Learning (3 papers), Educational Games and Gamification (3 papers), Innovative Teaching Methods (2 papers), Experimental Learning in Engineering (2 papers), Advanced Text Analysis Techniques (2 papers), Mobile Learning in Education (2 papers), Literacy, Media, and Education (1 paper) and Educational Research and Pedagogy (1 paper). The work is most often cited by research in Computer Science Applications (92 citations), Information Systems (140 citations), Education (182 citations), Developmental and Educational Psychology (75 citations) and Human-Computer Interaction (21 citations). I-Ling Cheng has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Nian‐Shing Chen, Kinshuk Kinshuk, Sie Wai Chew, Xuefeng Wei, Xianmin Yang, Xuesong Zhai, Yan Dong, Yongbo Liu, Yuping Wang and Chun‐Wang Wei. Their work appears in journals such as Educational Technology Research and Development, International Journal of Artificial Intelligence in Education, IEEE Transactions on Learning Technologies, Journal of Computers in Education and Interactive Learning Environments.

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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