Jo Shan Fu

711 citations
10 papers · 441 indexed · h-index 7
Topics
EFL/ESL Teaching and Learning (3 papers)Technology Adoption and User Behaviour (2 papers)Digital Storytelling and Education (2 papers)
Partner nations
TaiwanYemenUnited States

In The Last Decade

Jo Shan Fu

10 papers receiving 372 citations

Peers

Jo Shan Fu
Comparison fields: 5 of 70
  • Education 252
  • Information Systems 181
  • Gender Studies 58
  • Computer Science Applications 50
  • Language and Linguistics 43
Replace Gavin Dudeney with:
Gavin Dudeney Ghana
Melissa Pierson United States
Agâh Tuğrul Korucu Türkiye
Reza Dashtestani Iran
Aytekin İşman Türkiye
Pramela Krısh Malaysia
Natalie B. Milman United States
Sönmez Pamuk Türkiye
Ömür Akdemir Türkiye
Yousif Alshumaimeri Saudi Arabia
Jo Shan Fu relative to Gavin Dudeney Ghana Gavin Dudeney's profile →
Citations per field
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Gavin Dudeney · 1×
Citations per year

Countries citing papers authored by Jo Shan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jo Shan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jo Shan Fu. 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 Jo Shan Fu. The network helps show where Jo Shan Fu may publish in the future.

Co-authorship network of co-authors of Jo Shan Fu

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 27
3 3
4 9
5 1
6 45
7
Exploring How YouGlish Facilitates EFL Learners’ Speaking Competence
11
8
ICT in Education: A Critical Literature Review and Its Implications
265
9
Complexity of ICT in education: A critical literature review and its implications
73
10 6

About Jo Shan Fu

Jo Shan Fu is a scholar working on Speech and Hearing, Language and Linguistics and Information Systems and Management, having authored 10 papers that have together received 441 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (3 papers), Technology Adoption and User Behaviour (2 papers) and Digital Storytelling and Education (2 papers). The work is most often cited by research in Computer Science Applications (50 citations), Education (252 citations) and Information Systems (181 citations). Jo Shan Fu has collaborated with scholars based in Taiwan, Yemen and United States. Frequent co-authors include Hui‐Chin Yeh, Shih-Hsien Yang and Yen‐Chen Shih. Their work appears in journals such as SHILAP Revista de lepidopterología, Higher Education Research & Development 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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