Ying Ji
Impact in
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- Multi-Criteria Decision Making
- Risk and Portfolio Optimization
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
Papers in
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- Multi-Criteria Decision Making 33
- Risk and Portfolio Optimization 15
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- Optimization and Mathematical Programming 13
- Co-authors
- Shaojian Qu (59 shared papers)Kecun Zhang (6 shared papers)Mark Goh (6 shared papers)Hui Yang (2 shared papers)Zaiwu Gong (3 shared papers)Huanhuan Li (2 shared papers)Zhong Wu (5 shared papers)Hassan Raza (2 shared papers)
In The Last Decade
Ying Ji
110 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 116
- Management Science and Operations Research 421
- Numerical Analysis 117
- Management Information Systems 161
- Computational Theory and Mathematics 222
- Strategy and Management 205
Countries citing papers authored by Ying Ji
This map shows the geographic impact of Ying Ji'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 Ying Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Ji more than expected).
Fields of papers citing papers by Ying Ji
This network shows the impact of papers produced by Ying Ji. 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 Ying Ji. The network helps show where Ying Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 78 | |
| 2 | 2021 | 64 | |
| 3 | 2021 | 52 | |
| 4 | 2006 | 47 | |
| 5 | 2021 | 46 | |
| 6 | 2023 | 45 | |
| 7 | 2019 | 37 | |
| 8 | 2020 | 35 | |
| 9 | 2022 | 35 | |
| 10 | 2020 | 34 | |
| 11 | 2020 | 32 | |
| 12 | 2020 | 30 | |
| 13 | 2014 | 30 | |
| 14 | 2024 | 28 | |
| 15 | 2024 | 27 | |
| 16 | 2015 | 26 | |
| 17 | 2024 | 25 | |
| 18 | 2021 | 23 | |
| 19 | 2021 | 22 | |
| 20 | 2020 | 22 |
About Ying Ji
Ying Ji is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Computational Theory and Mathematics, Artificial Intelligence and Management Information Systems, having authored 114 papers that have together received 1.4k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (33 papers), Risk and Portfolio Optimization (15 papers), Optimization and Mathematical Programming (13 papers), Supply Chain and Inventory Management (13 papers), Advanced Optimization Algorithms Research (12 papers), Optimization and Variational Analysis (12 papers), Sustainable Supply Chain Management (11 papers) and Fuzzy Systems and Optimization (9 papers). The work is most often cited by research in Management Science and Operations Research (421 citations), Numerical Analysis (117 citations), Management Information Systems (161 citations), Computational Theory and Mathematics (222 citations) and Strategy and Management (205 citations). Ying Ji has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Shaojian Qu, Kecun Zhang, Mark Goh, Hui Yang, Zaiwu Gong, Huanhuan Li, Zhong Wu, Hassan Raza, Lun Wang and Yefan Han. Their work appears in journals such as Sustainability, Applied Mathematics and Computation, Journal of Intelligent & Fuzzy Systems, Applied Soft Computing and European Journal of Operational Research.
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.