Rui Kang
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- Probabilistic and Robust Engineering Design 3
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- Multi-Criteria Decision Making 15
- Forecasting Techniques and Applications 7
- Efficiency Analysis Using DEA 6
- Grey System Theory Applications 3
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- Evaluation and Optimization Models 3
- Statistics and Probability top 5%
- Fuzzy Systems and Optimization 6
- Software top 10%
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- Optimization and Mathematical Programming 8
Rui Kang
33 papers receiving 500 citations
Peers
Comparison fields: 5 of 71
- Statistics, Probability and Uncertainty 150
- Management Science and Operations Research 204
- Safety, Risk, Reliability and Quality 125
- Statistics and Probability 99
- Software 25
Countries citing papers authored by Rui Kang
This map shows the geographic impact of Rui Kang'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 Rui Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Kang more than expected).
Fields of papers citing papers by Rui Kang
This network shows the impact of papers produced by Rui Kang. 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 Rui Kang. The network helps show where Rui Kang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rui Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 30 | |
| 2 | 2021 | 41 | |
| 3 | 2019 | 1 | |
| 4 | 2018 | 7 | |
| 5 | 2018 | 5 | |
| 6 | 2017 | 23 | |
| 7 | 2017 | 36 | |
| 8 | 2017 | 15 | |
| 9 | 2016 | 17 | |
| 10 | 2015 | 12 | |
| 11 | 2014 | 3 | |
| 12 | Identification method of failure mechanism consistency for accelerated testing based on grey forecasting | 2013 | 1 |
| 13 | 2012 | 1 | |
| 14 | Multi-indenture multi-echelon spare part supply chain requirement modeling and simulation | 2010 | 1 |
| 15 | 2010 | 39 | |
| 16 | 2010 | 1 | |
| 17 | 2010 | 22 | |
| 18 | Forecasting Method of Spare Parts Consumption Based on ARIMA Model | 2009 | 0 |
| 19 | 2009 | 19 | |
| 20 | Research on Spare Parts Varieties Determination and Decision Risk Analyzing | 2008 | 1 |
About Rui Kang
Rui Kang is a scholar working on Management Science and Operations Research, Statistics and Probability and Safety, Risk, Reliability and Quality, having authored 36 papers that have together received 521 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (15 papers), Optimization and Mathematical Programming (8 papers), Forecasting Techniques and Applications (7 papers), Fuzzy Systems and Optimization (6 papers), Efficiency Analysis Using DEA (6 papers), Evaluation and Optimization Models (3 papers), Probabilistic and Robust Engineering Design (3 papers) and Grey System Theory Applications (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (150 citations), Management Science and Operations Research (204 citations) and Safety, Risk, Reliability and Quality (125 citations). Rui Kang has collaborated with scholars based in China, Italy and France. Frequent co-authors include Meilin Wen, Zhiguo Zeng, Enrico Zio, Yi Yang, Qingyuan Zhang, Zhongfeng Qin, Yunxia Chen, Yi Yang, Han Li and Benjamin S. Flavel. Their work appears in journals such as Journal of Hazardous Materials, Carbon and IEEE Access.
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.