Xiaodi Liu
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 34
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- Bayesian Modeling and Causal Inference 7
- Cognitive Science and Mapping 5
- Co-authors
- Shitao Zhang (36 shared papers)Zengwen Wang (19 shared papers)Jianjun Zhu (7 shared papers)Ye Chen‐Izu (2 shared papers)Harish Garg (9 shared papers)Zengwei Feng (12 shared papers)Qing Yao (12 shared papers)Honghui Zhu (12 shared papers)
In The Last Decade
Xiaodi Liu
87 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 142
- Management Science and Operations Research 534
- Statistics and Probability 112
- Computational Theory and Mathematics 142
- Ecological Modeling 31
- Artificial Intelligence 227
Countries citing papers authored by Xiaodi Liu
This map shows the geographic impact of Xiaodi Liu'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 Xiaodi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodi Liu more than expected).
Fields of papers citing papers by Xiaodi Liu
This network shows the impact of papers produced by Xiaodi Liu. 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 Xiaodi Liu. The network helps show where Xiaodi Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodi Liu, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 149 | |
| 2 | 2019 | 87 | |
| 3 | 2019 | 51 | |
| 4 | 2019 | 50 | |
| 5 | 2021 | 49 | |
| 6 | 2017 | 48 | |
| 7 | 2022 | 44 | |
| 8 | 2018 | 40 | |
| 9 | 2017 | 37 | |
| 10 | 2020 | 31 | |
| 11 | 2020 | 30 | |
| 12 | 2023 | 28 | |
| 13 | 2022 | 26 | |
| 14 | 2019 | 26 | |
| 15 | 2019 | 26 | |
| 16 | 2021 | 26 | |
| 17 | 2020 | 25 | |
| 18 | 2019 | 25 | |
| 19 | 2023 | 22 | |
| 20 | 2022 | 22 |
About Xiaodi Liu
Xiaodi Liu is a scholar working on Management Science and Operations Research, Artificial Intelligence, Plant Science, Computational Theory and Mathematics and Control and Systems Engineering, having authored 92 papers that have together received 1.4k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (34 papers), Rough Sets and Fuzzy Logic (12 papers), Mycorrhizal Fungi and Plant Interactions (10 papers), Optimization and Mathematical Programming (8 papers), Bayesian Modeling and Causal Inference (7 papers), Fuzzy Systems and Optimization (6 papers), Legume Nitrogen Fixing Symbiosis (5 papers) and Cognitive Science and Mapping (5 papers). The work is most often cited by research in Management Science and Operations Research (534 citations), Statistics and Probability (112 citations), Computational Theory and Mathematics (142 citations), Ecological Modeling (31 citations) and Artificial Intelligence (227 citations). Xiaodi Liu has collaborated with scholars based in China, India and Türkiye. Frequent co-authors include Shitao Zhang, Zengwen Wang, Jianjun Zhu, Ye Chen‐Izu, Harish Garg, Zengwei Feng, Qing Yao, Honghui Zhu, Jian Wu and Michael Freitag. Their work appears in journals such as Frontiers in Plant Science, Engineering Applications of Artificial Intelligence, Information Fusion, Expert Systems with Applications and Adaptive Behavior.
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.