Fou-Lai Lin

740 citations
19 papers · 414 indexed · 1 hit paper · h-index 9
Topics
Mathematics Education and Teaching Techniques (13 papers)Cognitive and developmental aspects of mathematical skills (7 papers)Teacher Education and Leadership Studies (5 papers)
Partner nations
TaiwanIndonesiaIsrael

In The Last Decade

Fou-Lai Lin

19 papers receiving 386 citations

Hit Papers

What Mathematics Education May Prepare Students for the S...2017202620202023201750100150200

Peers

Fou-Lai Lin
Comparison fields: 5 of 52
  • Education 333
  • Applied Mathematics 99
  • Statistics and Probability 93
  • Developmental and Educational Psychology 81
  • Information Systems 46
Replace Minoru Ohtani with:
Minoru Ohtani Japan
Stephen John Norton Australia
Mohan Chinnappan Australia
Cengiz Alacacı Türkiye
Julia Anghileri United Kingdom
Kai‐Lin Yang Taiwan
Manuel Santos‐Trigo Mexico
Yvonne Liljekvist Sweden
Max Stephens Australia
Jarmila Novotná Czechia
Fou-Lai Lin relative to Minoru Ohtani Japan Minoru Ohtani's profile →
Citations per field
00.5×1.6×
Minoru Ohtani · 1×
Citations per year

Countries citing papers authored by Fou-Lai Lin

Since Specialization
Citations

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

Fields of papers citing papers by Fou-Lai Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fou-Lai Lin. 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 Fou-Lai Lin. The network helps show where Fou-Lai Lin may publish in the future.

Co-authorship network of co-authors of Fou-Lai Lin

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 6
2 22
3 5
4 9
5
What Mathematics Education May Prepare Students for the Society of the Future?breakdown →
217
6 8
7 6
8 8
9 21
10 4
11 6
12 8
13 9
14 4
15 20
16 8
17 27
18 19
19 7

About Fou-Lai Lin

Fou-Lai Lin is a scholar working on Theoretical Computer Science, Human Factors and Ergonomics and Statistics and Probability, having authored 19 papers that have together received 414 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (13 papers), Cognitive and developmental aspects of mathematical skills (7 papers) and Teacher Education and Leadership Studies (5 papers). The work is most often cited by research in Education (333 citations), Statistics and Probability (93 citations) and Applied Mathematics (99 citations). Fou-Lai Lin has collaborated with scholars based in Taiwan, Indonesia and Israel. Frequent co-authors include Michelle Stephan, Koeno Gravemeijer, Cyril Julie, Minoru Ohtani, Kai‐Lin Yang, Rooselyna Ekawati, Reuven Babai, Pessia Tsamir, Ruth Stavy and Campbell J. McRobbie. Their work appears in journals such as Educational Studies in Mathematics, ZDM and International Journal of Science and Mathematics Education.

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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