Kai Yang

124 papers receiving 2.9k citations

Peers

Kai Yang
Comparison fields: 5 of 170
  • Safety, Risk, Reliability and Quality 530
  • Statistics, Probability and Uncertainty 416
  • Management of Technology and Innovation 411
  • Management Information Systems 498
  • Industrial and Manufacturing Engineering 527
Replace Ratna Babu Chinnam with:
Ratna Babu Chinnam United States
Ming Dong China
Ajith Kumar Parlikad United Kingdom
Geert‐Jan van Houtum Netherlands
Daoud Aı̈t-Kadi Canada
EDWARD A. POHL United States
El‐Houssaine Aghezzaf Belgium
Long Liu China
Zhen He China
Thomas A. Mazzuchi United States
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Citations per field
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Ratna Babu Chinnam · 1×
Citations per year

Countries citing papers authored by Kai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai Yang. 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 Kai Yang. The network helps show where Kai Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Design for Six Sigma: A Roadmap for Product Development
2003289
2 2014218
3
Design for Six Sigma
2005133
4 1995130
5 2014110
6 2019108
7 201697
8 202291
9
199977
10 201177
11 201574
12 201963
13 199056
14 199254
15 201354
16 201853
17 200252
18
A COMPARISON OF TRIZ AND AXIOMATIC DESIGN
200048
19 201447
20 199945

About Kai Yang

Kai Yang is a scholar working on Statistics, Probability and Uncertainty, Management of Technology and Innovation, Safety, Risk, Reliability and Quality, Industrial and Manufacturing Engineering and Management Science and Operations Research, having authored 131 papers that have together received 3.1k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (19 papers), Product Development and Customization (19 papers), Design Education and Practice (16 papers), Optimal Experimental Design Methods (14 papers), Reliability and Maintenance Optimization (13 papers), Probabilistic and Robust Engineering Design (12 papers), Advanced Statistical Process Monitoring (10 papers) and Quality and Supply Management (10 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (530 citations), Statistics, Probability and Uncertainty (416 citations), Management of Technology and Innovation (411 citations), Management Information Systems (498 citations) and Industrial and Manufacturing Engineering (527 citations). Kai Yang has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Basem El‐Haik, Satish Kumar Tyagi, Xianming Cai, Anoop Prakash Verma, Alok Kumar Choudhary, Hossein Badri, Adel Alaeddini, Guangbin Yang, Daniel Grosu and Tayebeh Bahreini. Their work appears in journals such as Quality and Reliability Engineering International, International Journal of Production Research, IEEE Transactions on Reliability, International Journal of Six Sigma and Competitive Advantage and Expert Systems with Applications.

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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