Young-Jou Lai

22 papers receiving 3.0k citations

Hit Papers

TOPSIS for MODM199320262004201519941993250500750

Peers

Young-Jou Lai
Comparison fields: 5 of 137
  • Management Science and Operations Research 1.7k
  • Control and Systems Engineering 1.4k
  • Computational Theory and Mathematics 500
  • Statistics and Probability 481
  • Strategy and Management 370
Replace Bertrand Mareschal with:
Bertrand Mareschal Belgium
Ph. Vincke Belgium
Stanley Zionts United States
Ralph E. Steuer United States
Hans-Jürgen Zimmermann Germany
E. Stanley Lee United States
Willem K. Brauers Belgium
Tien-Chin Wang Taiwan
Shiang-Tai Liu Taiwan
Başar Öztayşi Türkiye
Young-Jou Lai relative to Bertrand Mareschal Belgium Bertrand Mareschal's profile →
Citations per field
00.5×1.5×
Bertrand Mareschal · 1×
Citations per year

Countries citing papers authored by Young-Jou Lai

Since Specialization
Citations

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

Fields of papers citing papers by Young-Jou Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young-Jou Lai. 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 Young-Jou Lai. The network helps show where Young-Jou Lai may publish in the future.

Co-authorship network of co-authors of Young-Jou Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Young-Jou Lai. A scholar is included among the top collaborators of Young-Jou Lai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Young-Jou Lai. Young-Jou Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 65
2 5
3 1
4 0
5 54
6 2
7 235
8 193
9 23
10 3
11 3
12
TOPSIS for MODMbreakdown →
770
13 178
14
A new approach for multiple objective decision makingbreakdown →
723
15 133
16 5
17 13
18 328
19 52
20 269

About Young-Jou Lai

Young-Jou Lai is a scholar working on Management Science and Operations Research, Statistics and Probability and Management of Technology and Innovation, having authored 23 papers that have together received 3.2k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (11 papers), Optimization and Mathematical Programming (9 papers) and Fuzzy Systems and Optimization (6 papers). The work is most often cited by research in Management Science and Operations Research (1.7k citations), Control and Systems Engineering (1.4k citations) and Statistics and Probability (481 citations). Young-Jou Lai has collaborated with scholars based in United States, Taiwan and Malaysia. Frequent co-authors include Ching-Lai Hwang, Shing I. Chang, E. Stanley Lee, Hsu-Shih Shih, Shih‐Yen Lin, Joshua Ignatius, Adli Mustafa, Mohammad Mehdi Sepehri, Wei‐Chiang Hong and Ping‐Feng Pai. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Journal of the Operational Research Society.

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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