Rui Wu
Impact in
- Paleontology top 10%
- Evolution and Paleontology Studies
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
Papers in ⓘ
-
- Time Series Analysis and Forecasting 5
- Co-authors
- Yu Fan (1 shared paper)Ming‐Hui Chen (2 shared papers)Lynn Kuo (2 shared papers)Paul O. Lewis (2 shared papers)Zhou Yang (1 shared paper)Ying Kong (1 shared paper)Sergiu M. Dascalu (18 shared papers)J. S. Harris (16 shared papers)
- Journals
- Symmetry (3 papers)Scientific Reports (2 papers)Marine Life Science & Technology (1 paper)Phytotherapy Research (1 paper)International Journal of Environmental Research and Public Health (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Rui Wu
48 papers receiving 514 citations
Peers
Comparison fields: 5 of 130
- Paleontology 49
- Statistics and Probability 49
- Environmental Engineering 62
- Management Science and Operations Research 49
- Economics and Econometrics 104
Countries citing papers authored by Rui Wu
This map shows the geographic impact of Rui Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Wu more than expected).
Fields of papers citing papers by Rui Wu
This network shows the impact of papers produced by Rui Wu. 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 Wu. The network helps show where Rui Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Rui Wu, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 152 | |
| 2 | 2018 | 79 | |
| 3 | 2022 | 32 | |
| 4 | 2024 | 24 | |
| 5 | 2011 | 22 | |
| 6 | 2012 | 17 | |
| 7 | 2024 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2019 | 13 | |
| 10 | 2022 | 13 | |
| 11 | 2024 | 12 | |
| 12 | 2017 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2017 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2021 | 6 |
About Rui Wu
Rui Wu is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering and Management Science and Operations Research, having authored 63 papers that have together received 530 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (5 papers), Fractional Differential Equations Solutions (5 papers), Hydrology and Watershed Management Studies (4 papers), Nonlinear Differential Equations Analysis (4 papers), Stock Market Forecasting Methods (4 papers), Hydrological Forecasting Using AI (4 papers), Scientific Computing and Data Management (4 papers) and Teaching and Learning Programming (3 papers). The work is most often cited by research in Paleontology (49 citations), Statistics and Probability (49 citations), Environmental Engineering (62 citations), Management Science and Operations Research (49 citations) and Economics and Econometrics (104 citations). Rui Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yu Fan, Ming‐Hui Chen, Lynn Kuo, Paul O. Lewis, Zhou Yang, Ying Kong, Sergiu M. Dascalu, J. S. Harris, Ram C. Tiwari and Lei Yang. Their work appears in journals such as Symmetry, Scientific Reports, Marine Life Science & Technology, Phytotherapy Research and International Journal of Environmental Research and Public Health.
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.