Yu-Feng Lan

496 total citations
14 papers, 330 citations indexed

About

Yu-Feng Lan is a scholar working on Education, Developmental and Educational Psychology and Information Systems. According to data from OpenAlex, Yu-Feng Lan has authored 14 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Education, 7 papers in Developmental and Educational Psychology and 6 papers in Information Systems. Recurrent topics in Yu-Feng Lan's work include Innovative Teaching and Learning Methods (7 papers), Online and Blended Learning (7 papers) and Mobile Learning in Education (6 papers). Yu-Feng Lan is often cited by papers focused on Innovative Teaching and Learning Methods (7 papers), Online and Blended Learning (7 papers) and Mobile Learning in Education (6 papers). Yu-Feng Lan collaborates with scholars based in Taiwan and Argentina. Yu-Feng Lan's co-authors include Pei‐Wei Tsai, Shih-Hsien Yang and Michael Pin-Chuan Lin and has published in prestigious journals such as Computers & Education, Educational Technology & Society and Journal of Educational Computing Research.

In The Last Decade

Yu-Feng Lan

12 papers receiving 284 citations

Peers

Yu-Feng Lan
Comparison fields: 5 of 46
  • Education 165
  • Information Systems 164
  • Developmental and Educational Psychology 104
  • Sociology and Political Science 81
  • Computer Science Applications 46
Replace Cesar Navarrete with:
Cesar Navarrete United States
Alberto Andújar Spain
Ercan Top Türkiye
Peter D. Duffy Hong Kong
Zaini Amir Malaysia
Florencia Gómez Zaccarelli Chile
Hannelore Montrieux Belgium
Bryn Holmes Ireland
Meilun Shih Taiwan
Doreen Prasse Switzerland
Cesar Navarrete United States View profile →
Citations per field, relative to Yu-Feng Lan
Yu-Feng Lan · 1×
Citations per year, relative to Yu-Feng Lan
Yu-Feng Lan · 1×

Countries citing papers authored by Yu-Feng Lan

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Feng Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Feng Lan. 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 Yu-Feng Lan. The network helps show where Yu-Feng Lan may publish in the future.

Co-authorship network of co-authors of Yu-Feng Lan

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

All Works

14 of 14 papers shown
# Work Indexed citations
1
Using Mobile Learning to Improve the Reflection: A Case Study of Traffic Violation
28
2 11
3 78
4
Effects of Guided Writing Strategies on Students' Writing Attitudes Based on Media Richness Theory
31
5 27
6 0
7 3
8 134
9 4
10 7
11 2
12 2
13 1
14 2

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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