Xiaohui Wu
Impact in
- Polymers and Plastics top 10%
- Polymer Nanocomposites and Properties
- Polymer composites and self-healing
- Polymer Nanocomposite Synthesis and Irradiation
- Polymer crystallization and properties
Papers in
-
- Polymer Nanocomposites and Properties 5
- Polymer crystallization and properties 3
- Polymer composites and self-healing 2
-
- MXene and MAX Phase Materials 2
- Co-authors
- Baochun Guo (1 shared paper)Zhenghai Tang (1 shared paper)Ting-Ting Lin (1 shared paper)Jun Liu (3 shared papers)Haixiao Wan (1 shared paper)Ke Gao (1 shared paper)Liqun Zhang (1 shared paper)Xiaodong Wang (1 shared paper)
- Journals
- Macromolecules (2 papers)Applied Sciences (1 paper)Polymer International (1 paper)IEEE Journal on Exploratory Solid-State Computational Devices and Circuits (1 paper)Composites Communications (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaohui Wu
13 papers receiving 338 citations
Peers
Comparison fields: 5 of 50
- Polymers and Plastics 168
- Biomaterials 55
- Materials Chemistry 145
- Renewable Energy, Sustainability and the Environment 47
- Biomedical Engineering 102
Countries citing papers authored by Xiaohui Wu
This map shows the geographic impact of Xiaohui 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 Xiaohui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Wu more than expected).
Fields of papers citing papers by Xiaohui Wu
This network shows the impact of papers produced by Xiaohui 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 Xiaohui Wu. The network helps show where Xiaohui Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 72 | |
| 2 | 2024 | 66 | |
| 3 | 2019 | 62 | |
| 4 | 2020 | 44 | |
| 5 | 2018 | 38 | |
| 6 | 2015 | 29 | |
| 7 | 2023 | 17 | |
| 8 | 2004 | 9 | |
| 9 | 2019 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2021 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2025 | 0 |
About Xiaohui Wu
Xiaohui Wu is a scholar working on Polymers and Plastics, Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 351 indexed citations. Recurring topics across this work include Polymer Nanocomposites and Properties (5 papers), Polymer crystallization and properties (3 papers), Robotics and Sensor-Based Localization (2 papers), Polymer composites and self-healing (2 papers), MXene and MAX Phase Materials (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Inertial Sensor and Navigation (1 paper) and Electrical Fault Detection and Protection (1 paper). The work is most often cited by research in Polymers and Plastics (168 citations), Biomaterials (55 citations), Materials Chemistry (145 citations), Renewable Energy, Sustainability and the Environment (47 citations) and Biomedical Engineering (102 citations). Xiaohui Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Baochun Guo, Zhenghai Tang, Ting-Ting Lin, Jun Liu, Haixiao Wan, Ke Gao, Liqun Zhang, Xiaodong Wang, Liqun Zhang and Haichang Fu. Their work appears in journals such as Macromolecules, Applied Sciences, Polymer International, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits and Composites Communications.
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.