I-Ling Cheng

8 papers and 258 indexed citations i.

About

I-Ling Cheng is a scholar working on Education, Artificial Intelligence and Information Systems. According to data from OpenAlex, I-Ling Cheng has authored 8 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Education, 2 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in I-Ling Cheng’s work include Online and Blended Learning (2 papers), Mobile Learning in Education (2 papers) and Advanced Text Analysis Techniques (2 papers). I-Ling Cheng is often cited by papers focused on Online and Blended Learning (2 papers), Mobile Learning in Education (2 papers) and Advanced Text Analysis Techniques (2 papers). I-Ling Cheng collaborates with scholars based in Taiwan, United States and Australia. I-Ling Cheng's co-authors include Nian‐Shing Chen, Kinshuk Kinshuk, Xianmin Yang, Yuping Wang, Xuesong Zhai, Yongbo Liu, Yan Dong, Chun‐Wang Wei, Chiu‐Lin Lai and Yihuang Kang and has published in prestigious journals such as Educational Technology Research and Development, Interactive Learning Environments and IEEE Transactions on Learning Technologies.

In The Last Decade

Co-authorship network of co-authors of I-Ling Cheng i

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.

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025