Ke Wu
Impact in
- Computational Mechanics top 10%
- Fluid Dynamics and Heat Transfer
- Fluid Dynamics and Turbulent Flows
Papers in
-
- Complex Systems and Time Series Analysis 10
- Sports Analytics and Performance 2
-
- Complex Network Analysis Techniques 6
- Opinion Dynamics and Social Influence 3
- Co-authors
- Guichao Wang (2 shared papers)Yong‐Feng Ma (1 shared paper)Cheng Peng (1 shared paper)Fan Yang (1 shared paper)Didier Sornette (10 shared papers)Lian‐Ping Wang (1 shared paper)Tianshu Liu (1 shared paper)Spencer Wheatley (4 shared papers)
- Journals
- European Journal of Finance (1 paper)Journal of Materials Research and Technology (1 paper)Chinese Optics Letters (1 paper)Communications Physics (1 paper)Powder Technology (1 paper)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Ke Wu
22 papers receiving 280 citations
Peers
Comparison fields: 5 of 83
- Computational Mechanics 99
- Ecological Modeling 15
- Surfaces, Coatings and Films 19
- Ocean Engineering 32
- Human-Computer Interaction 11
Countries citing papers authored by Ke Wu
This map shows the geographic impact of Ke 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 Ke Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Wu more than expected).
Fields of papers citing papers by Ke Wu
This network shows the impact of papers produced by Ke 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 Ke Wu. The network helps show where Ke Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 116 | |
| 2 | 2016 | 30 | |
| 3 | 2018 | 29 | |
| 4 | 2019 | 26 | |
| 5 | 2021 | 24 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 11 | |
| 8 | 2017 | 8 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 3 | |
| 12 | Classification of crypto-coins and tokens from the dynamics of their power law capitalisation distributions | 2018 | 2 |
| 13 | 2024 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2024 | 1 |
About Ke Wu
Ke Wu is a scholar working on Economics and Econometrics, Statistical and Nonlinear Physics, Finance, Information Systems and Ocean Engineering, having authored 25 papers that have together received 284 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (10 papers), Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (3 papers), Financial Markets and Investment Strategies (3 papers), Particle Dynamics in Fluid Flows (3 papers), Experimental Behavioral Economics Studies (2 papers), Blockchain Technology Applications and Security (2 papers) and Sports Analytics and Performance (2 papers). The work is most often cited by research in Computational Mechanics (99 citations), Ecological Modeling (15 citations), Surfaces, Coatings and Films (19 citations), Ocean Engineering (32 citations) and Human-Computer Interaction (11 citations). Ke Wu has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Guichao Wang, Yong‐Feng Ma, Cheng Peng, Fan Yang, Didier Sornette, Lian‐Ping Wang, Tianshu Liu, Spencer Wheatley, Shinan Chang and Xudong Ren. Their work appears in journals such as European Journal of Finance, Journal of Materials Research and Technology, Chinese Optics Letters, Communications Physics and Powder Technology.
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.