Tzu‐Yu Lin

29 papers receiving 641 citations

Peers

Tzu‐Yu Lin
Comparison fields: 5 of 105
  • Computational Theory and Mathematics 425
  • Artificial Intelligence 248
  • Information Systems 220
  • Management Science and Operations Research 152
  • Signal Processing 84
Replace Robert Susmaga with:
Robert Susmaga Poland
Dedi Rosadi Indonesia
Antonı́n Dvořák Czechia
Changha Hwang South Korea
Hu Pei China
Jorge Navarro Mexico
Sajjad Waheed Bangladesh
Zhongxing Wang China
Tianxing Wang China
Hsiang-Chuan Liu Taiwan
Tzu‐Yu Lin relative to Robert Susmaga Poland Robert Susmaga's profile →
Citations per field
00.5×1.5×1.8×
Robert Susmaga · 1×
Citations per year

Countries citing papers authored by Tzu‐Yu Lin

Since Specialization
Citations

This map shows the geographic impact of Tzu‐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 Tzu‐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 Tzu‐Yu Lin more than expected).

Fields of papers citing papers by Tzu‐Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Tzu‐Yu Lin. A scholar is included among the top collaborators of Tzu‐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 Tzu‐Yu Lin. Tzu‐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 3
2 13
3 0
4 1
5 5
6 3
7 12
8 1
9 1
10 4
11 33
12
An experimental approach characterizing rear bicycle derailleur systems. Part I: performance test
0
13
GRANULAR COMPUTING: From Rough Sets and Neighborhood Systems to Information Granulation and Computing with Words
16
14 21
15 6
16
Rough Sets and Data Mining: Analysis of Imprecise Data
157
17
Attribute Based Data Model and Polyinstantiation
6
18 3
19 7
20
Neighborhood systems and approximation in relational databases and knowledge bases
11

About Tzu‐Yu Lin

Tzu‐Yu Lin is a scholar working on Signal Processing, General Economics, Econometrics and Finance and Computational Theory and Mathematics, having authored 32 papers that have together received 673 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (7 papers), Data Management and Algorithms (7 papers) and Monetary Policy and Economic Impact (6 papers). The work is most often cited by research in Computational Theory and Mathematics (425 citations), Management Science and Operations Research (152 citations) and Information Systems (220 citations). Tzu‐Yu Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include N. Cercone, Sheng-Hsiung Chiu, Shiu‐Sheng Chen, Jyh‐Jaan Steven Huang, Ludvig Löwemark, Huei‐Fen Chen, Sheng‐Rong Song, Kuo‐Yen Wei, E. Louie and Wen Lo. Their work appears in journals such as Energy Economics, Geochemistry Geophysics Geosystems and Journal of International Money and Finance.

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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