Tai‐Yu Lin

1.6k citations
91 papers · 1.1k indexed · h-index 17
Topics
Efficiency Analysis Using DEA (35 papers)Energy, Environment, Economic Growth (34 papers)Environmental Impact and Sustainability (26 papers)
Partner nations
TaiwanChinaNew Zealand

In The Last Decade

Tai‐Yu Lin

86 papers receiving 1.0k citations

Peers

Tai‐Yu Lin
Comparison fields: 5 of 126
  • Economics and Econometrics 387
  • Management Science and Operations Research 233
  • Environmental Engineering 228
  • Education 167
  • Developmental and Educational Psychology 149
Replace Jun Su with:
Jun Su China
Richard D. Duke United States
Jin Su Jeong Spain
Leidy Klotz United States
Alex Opoku United Kingdom
Dinara G. Vasbieva Russia
Alfred Posch Austria
Amiruddin Ismail Malaysia
Rocío Yñíguez Ovando Spain
Kathryn B. Janda United Kingdom
Tai‐Yu Lin relative to Jun Su China Jun Su's profile →
Citations per field
00.5×7.5×
Jun Su · 1×
Citations per year

Countries citing papers authored by Tai‐Yu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Tai‐Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai‐Yu 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 Tai‐Yu Lin. The network helps show where Tai‐Yu Lin may publish in the future.

Co-authorship network of co-authors of Tai‐Yu Lin

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 12
4 0
5 2
6 2
7 39
8 1
9 3
10 5
11 2
12 9
13 16
14 4
15 7
16
Student profile transformation between desktop PCs and mobile phones
6
17
Understanding Designers Designing for Understanding.
4
18
Improving student modeling: the relationship between learning styles and cognitive traits
8
19 3
20
Cognitive Trait Model for Persistent Student Modelling
7

About Tai‐Yu Lin

Tai‐Yu Lin is a scholar working on Management Science and Operations Research, Environmental Engineering and Economics and Econometrics, having authored 91 papers that have together received 1.1k indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (35 papers), Energy, Environment, Economic Growth (34 papers) and Environmental Impact and Sustainability (26 papers). The work is most often cited by research in Computer Science Applications (106 citations), Management Science and Operations Research (233 citations) and Environmental Engineering (228 citations). Tai‐Yu Lin has collaborated with scholars based in Taiwan, China and New Zealand. Frequent co-authors include Yung‐ho Chiu, Kinshuk Kinshuk, Ying Li, Hsiu‐Chia Ko, Nian‐Shing Chen, Ying Li, Sabine Graf, Tzu‐Han Chang, Qian Wang and Yiqing Wang. Their work appears in journals such as Journal of Cleaner Production, Computers in Human Behavior and Journal of Environmental Management.

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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