Yao‐Tsung Chen

17 papers receiving 211 citations

Peers

Yao‐Tsung Chen
Comparison fields: 5 of 94
  • Statistical and Nonlinear Physics 31
  • Artificial Intelligence 73
  • Radiological and Ultrasound Technology 11
  • Information Systems 42
  • Management Science and Operations Research 15
Replace J.C. Schryver with:
J.C. Schryver United States
Ziyuan Luo China
Douglas C. Crocker United States
Marianthi Theocharidou Italy
Azwa Abdul Aziz Malaysia
Dongsheng Liu China
Rupa G. Mehta India
Bo Ren China
Qian Qiao China
Kuo Zhang China
Yao‐Tsung Chen relative to J.C. Schryver United States J.C. Schryver's profile →
Citations per field
00.5×10.3×
J.C. Schryver · 1×
Citations per year

Countries citing papers authored by Yao‐Tsung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yao‐Tsung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Yao‐Tsung 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 Yao‐Tsung Chen Line = papers co-authored together Yao‐Tsung Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201081
2 202141
3 200739
4 201812
5 201110
6 20207
7 20255
8 20135
9 20234
10 20054
11 20224
12 20133
13 20003
14
A Customer Segmentation Mining System on the Web Platform
20002
15 20201
16 20061
17 20221
18 20180
19 20240
20 20200

About Yao‐Tsung Chen

Yao‐Tsung Chen is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Ocean Engineering and Computational Theory and Mathematics, having authored 21 papers that have together received 223 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (3 papers), Risk and Portfolio Optimization (3 papers), Face and Expression Recognition (2 papers), Text and Document Classification Technologies (2 papers), Electrodeposition and Electroless Coatings (2 papers), Fuzzy Logic and Control Systems (2 papers), Constraint Satisfaction and Optimization (2 papers) and Reservoir Engineering and Simulation Methods (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (31 citations), Artificial Intelligence (73 citations), Radiological and Ultrasound Technology (11 citations), Information Systems (42 citations) and Management Science and Operations Research (15 citations). Yao‐Tsung Chen has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Meng Chang Chen, Chien Chin Chen, Dinh-Phuc Tran, Chih Chen, K. N. Tu, Kuan‐Ju Chen, Bingchiang Jeng, Yiming Tu, Chon‐Lin Lee and Chung-Ying Yeh. Their work appears in journals such as Journal of Environmental Radioactivity, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, Journal of the Association for Information Systems, Systems Research and Behavioral Science and Journal of Soils and Sediments.

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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