Reay‐Chen Wang

1.2k citations
19 papers · 964 · h-index 9

Impact in

Papers in

Reay‐Chen Wang

18 papers receiving 893 citations

Peers

Reay‐Chen Wang
Comparison fields: 5 of 74
  • Management Science and Operations Research 590
  • Management Information Systems 306
  • Control and Systems Engineering 464
  • Industrial and Manufacturing Engineering 169
  • Strategy and Management 236
Replace Radivoj Petrović with:
Radivoj Petrović Serbia
Ceyhun Araz Türkiye
İbrahim Doğan Türkiye
Huey-Ming Lee Taiwan
Özden Üstün Türkiye
Chin-Nung Liao Taiwan
Jeffrey L. Ringuest United States
Tien‐Fu Liang Taiwan
Seyed Farid Mousavi Iran
Azizollah Memariani Iran
Reay‐Chen Wang relative to Radivoj Petrović Serbia Radivoj Petrović's profile →
Citations per field
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Radivoj Petrović · 1×
Citations per year

Countries citing papers authored by Reay‐Chen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Reay‐Chen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Reay‐Chen Wang, 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 Reay‐Chen Wang Line = papers co-authored together Reay‐Chen Wang links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2003185
2 2004172
3 2003151
4 2001147
5 2005117
6 200676
7 200431
8 199529
9 200428
10 19977
11 19986
12 19894
13 19993
14 19972
15 19992
16
Applying a Direct Approach in Linguistic Assessment and Aggregation on Supply Performance
20072
17 19941
18 19931
19 20110

About Reay‐Chen Wang

Reay‐Chen Wang is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering, Control and Systems Engineering and Computational Theory and Mathematics, having authored 19 papers that have together received 964 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (10 papers), Advanced Statistical Process Monitoring (9 papers), Optimization and Mathematical Programming (5 papers), Manufacturing Process and Optimization (5 papers), Quality and Supply Management (3 papers), Optimal Experimental Design Methods (3 papers), Optimization and Variational Analysis (3 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Management Science and Operations Research (590 citations), Management Information Systems (306 citations), Control and Systems Engineering (464 citations), Industrial and Manufacturing Engineering (169 citations) and Strategy and Management (236 citations). Reay‐Chen Wang has collaborated with scholars based in Taiwan. Frequent co-authors include Tien‐Fu Liang, Shian-Jong Chuu, Shih-Yuan Wang and Chung‐Ho Chen. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Economics, Computers & Industrial Engineering, International Journal of Quality & Reliability Management and Construction Management and Economics.

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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