Ting‐Yu Chen

202 papers receiving 5.7k citations

Peers

Ting‐Yu Chen
Comparison fields: 5 of 190
  • Management Science and Operations Research 4.4k
  • Statistics and Probability 1.5k
  • Control and Systems Engineering 1.8k
  • Computational Theory and Mathematics 953
  • Artificial Intelligence 1.2k
Replace Xindong Peng with:
Xindong Peng China
Xunjie Gou China
Tahir Mahmood Pakistan
Sergio Alonso Spain
Muhammad Riaz Pakistan
Da Ruan Belgium
Wojciech Sałabun Poland
Diyar Akay Türkiye
Zhen Zhang China
Ph. Vincke Belgium
Ting‐Yu Chen relative to Xindong Peng China Xindong Peng's profile →
Citations per field
00.5×10×20×32.8×
Xindong Peng · 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 214 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007331
2 2010259
3 2012198
4 2017197
5 2011178
6 2014172
7 2013171
8 2010150
9 2013125
10 2012115
11 2011114
12 2011107
13 201096
14 201393
15 201189
16 201988
17 200786
18 201180
19 199868
20 201367

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 214 papers that have together received 6.0k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (129 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 (20 papers), Soil and Land Suitability Analysis (10 papers), Intuitionistic Fuzzy Systems Applications (5 papers) and Sustainable Supply Chain Management (5 papers). The work is most often cited by research in Management Science and Operations Research (4.4k citations), Statistics and Probability (1.5k citations), Control and Systems Engineering (1.8k citations), Computational Theory and Mathematics (953 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, Chien-Hung Chang, Jui-fen Rachel Lu, Gwo‐Hshiung Tzeng, Yen‐Yu Lu, Jen‐Tsung Chen, Wei‐Chin Chang, 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, Advanced Engineering Informatics and IEEE Access.

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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