R.J. Kuo

7.8k citations
162 papers · 5.8k · 1 hit paper · h-index 42

Impact in

Papers in

R.J. Kuo

156 papers receiving 5.5k citations

R.J. Kuo's Hit Papers

Integration of artificial neural network and MADA methods for green supplier selection 2010 · 530 citations
5300+5+10Years since publication100200300400500

Peers

R.J. Kuo
Comparison fields: 5 of 164
  • Management Science and Operations Research 1.6k
  • Industrial and Manufacturing Engineering 1.1k
  • Management Information Systems 548
  • Strategy and Management 889
  • Artificial Intelligence 1.7k
Replace Matthias Ehrgott with:
Matthias Ehrgott New Zealand
Chung‐Hsing Yeh Australia
W.H. Ip Hong Kong
Erfan Babaee Tırkolaee Türkiye
Maghsoud Amiri Iran
Adil Baykasoğlu Türkiye
Min Huang China
Zhen‐Song Chen China
Mohamed Abdel‐Basset Egypt
Amir M. Fathollahi‐Fard Canada
R.J. Kuo relative to Matthias Ehrgott New Zealand Matthias Ehrgott's profile →
Citations per field
00.5×1.5×2.1×
Matthias Ehrgott · 1×
Citations per year

Countries citing papers authored by R.J. Kuo

Since Specialization
Citations

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

Fields of papers citing papers by R.J. Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.J. Kuo. 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 R.J. Kuo. The network helps show where R.J. Kuo may publish in the future.

Co-authors

The 25 scholars most cited alongside R.J. Kuo, 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 R.J. Kuo Line = papers co-authored together R.J. Kuo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Integration of artificial neural network and MADA methods for green supplier selection
Hit paper breakdown →
2010530
2 2002275
3 2001215
4 2002190
5 2011145
6 2021144
7 2011139
8 2009136
9 2001120
10 2012117
11 2019114
12 2010112
13 2005104
14 200999
15 199899
16 199991
17 201287
18 202180
19 200080
20 199975

About R.J. Kuo

R.J. Kuo is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Management Science and Operations Research, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 162 papers that have together received 5.8k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (38 papers), Advanced Clustering Algorithms Research (26 papers), Fuzzy Logic and Control Systems (22 papers), Neural Networks and Applications (21 papers), Face and Expression Recognition (17 papers), Vehicle Routing Optimization Methods (15 papers), Multi-Criteria Decision Making (13 papers) and Data Mining Algorithms and Applications (13 papers). The work is most often cited by research in Management Science and Operations Research (1.6k citations), Industrial and Manufacturing Engineering (1.1k citations), Management Information Systems (548 citations), Strategy and Management (889 citations) and Artificial Intelligence (1.7k citations). R.J. Kuo has collaborated with scholars based in Taiwan, Indonesia and United States. Frequent co-authors include Ferani E. Zulvia, Fang-Chih Tien, Yu-Cheng Wang, Kun Xue, Paul H. Cohen, Ya-Ti Lin, Yu Han, Setyo Tri Windras Mara, Tung-Lai Hu and Zhenyao Chen. Their work appears in journals such as Applied Soft Computing, Computers & Industrial Engineering, Expert Systems with Applications, Information Sciences and Soft Computing.

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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