Dawei Ju
Impact in
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- Multi-Criteria Decision Making
- Statistics and Probability top 5%
- Fuzzy Systems and Optimization
Papers in
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- Multi-Criteria Decision Making 12
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- Optimization and Mathematical Programming 5
- Co-authors
- Yanbing Ju (9 shared papers)Aihua Wang (3 shared papers)Mihalis Giannakis (1 shared paper)Ernesto D.R. Santibañez González (1 shared paper)Xiaoyue Liu (4 shared papers)Wenkai Zhang (2 shared papers)Hengxia Gao (1 shared paper)Li Xia (1 shared paper)
- Journals
- Journal of Intelligent & Fuzzy Systems (3 papers)Soft Computing (3 papers)IEEE Access (2 papers)Computers & Industrial Engineering (1 paper)Mathematics (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Dawei Ju
11 papers receiving 335 citations
Peers
Comparison fields: 5 of 55
- Management Science and Operations Research 270
- Statistics and Probability 69
- Control and Systems Engineering 110
- Ecological Modeling 16
- Automotive Engineering 42
Countries citing papers authored by Dawei Ju
This map shows the geographic impact of Dawei Ju'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 Dawei Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Ju more than expected).
Fields of papers citing papers by Dawei Ju
This network shows the impact of papers produced by Dawei Ju. 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 Dawei Ju. The network helps show where Dawei Ju may publish in the future.
Co-authors
The 14 scholars most cited alongside Dawei Ju, 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 | 2018 | 147 | |
| 2 | 2015 | 53 | |
| 3 | 2019 | 36 | |
| 4 | 2019 | 33 | |
| 5 | 2018 | 24 | |
| 6 | 2018 | 19 | |
| 7 | 2018 | 9 | |
| 8 | 2019 | 9 | |
| 9 | 2017 | 8 | |
| 10 | 2020 | 4 | |
| 11 | 2021 | 2 | |
| 12 | 2017 | 0 |
About Dawei Ju
Dawei Ju is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Statistics and Probability, Artificial Intelligence and Computational Theory and Mathematics, having authored 12 papers that have together received 344 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (12 papers), Optimization and Mathematical Programming (5 papers), Fuzzy Systems and Optimization (4 papers), Rough Sets and Fuzzy Logic (3 papers), Fuzzy Logic and Control Systems (2 papers), Evaluation and Optimization Models (2 papers), Advanced Decision-Making Techniques (1 paper) and Electric Vehicles and Infrastructure (1 paper). The work is most often cited by research in Management Science and Operations Research (270 citations), Statistics and Probability (69 citations), Control and Systems Engineering (110 citations), Ecological Modeling (16 citations) and Automotive Engineering (42 citations). Dawei Ju has collaborated with scholars based in China, United States and France. Frequent co-authors include Yanbing Ju, Aihua Wang, Mihalis Giannakis, Ernesto D.R. Santibañez González, Xiaoyue Liu, Wenkai Zhang, Aihua Wang, Hengxia Gao, Li Xia and Peiwu Dong. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Soft Computing, IEEE Access, Computers & Industrial Engineering and Mathematics.
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.