Ting‐Yu Chen

196 papers receiving 5.4k citations

Peers

Ting‐Yu Chen
Comparison fields: 5 of 191
  • Management Science and Operations Research 4.1k
  • Statistics and Probability 1.5k
  • Control and Systems Engineering 1.8k
  • Computational Theory and Mathematics 898
  • Artificial Intelligence 1.2k
Replace Sergio Alonso with:
Sergio Alonso Spain
Da Ruan Belgium
Robert C. Fuller Hungary
Wojciech Sałabun Poland
Zhen Zhang China
Diyar Akay Türkiye
Samarjit Kar India
Ph. Vincke Belgium
Fuyuan Xiao China
Jiang Wu China
Ting‐Yu Chen relative to Sergio Alonso Spain Sergio Alonso's profile →
Citations per field
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Sergio Alonso · 1×
Citations per year

Countries citing papers authored by Ting‐Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ting‐Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ting‐Yu Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ting‐Yu Chen Line = papers co-authored together Ting‐Yu Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 207 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007307
2 2010246
3 2017185
4 2012181
5 2011165
6 2014165
7 2013157
8 2010143
9 2013118
10 2011109
11 2012106
12 2011101
13 201389
14 201188
15 201984
16 201083
17 200781
18 201176
19 201365
20 199864

About Ting‐Yu Chen

Ting‐Yu Chen is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Statistics and Probability, Computational Theory and Mathematics and Artificial Intelligence, having authored 207 papers that have together received 5.6k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (128 papers), Fuzzy Systems and Optimization (73 papers), Optimization and Mathematical Programming (69 papers), Rough Sets and Fuzzy Logic (32 papers), Fuzzy Logic and Control Systems (18 papers), Soil and Land Suitability Analysis (10 papers), Sustainable Supply Chain Management (5 papers) and Intuitionistic Fuzzy Systems Applications (5 papers). The work is most often cited by research in Management Science and Operations Research (4.1k citations), Statistics and Probability (1.5k citations), Control and Systems Engineering (1.8k citations), Computational Theory and Mathematics (898 citations) and Artificial Intelligence (1.2k citations). Ting‐Yu Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chueh‐Yung Tsao, Gwo‐Hshiung Tzeng, Jui-fen Rachel Lu, Chien-Hung Chang, Yen‐Yu Lu, Wei‐Chin Chang, Jen‐Tsung Chen, Hsin‐Li Chang, Hsing‐Yi Chang and Jing Ye. Their work appears in journals such as Applied Soft Computing, Information Sciences, Expert Systems with Applications, IEEE Access and Neural Computing and Applications.

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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