Kangling Wu
Impact in
- Molecular Medicine top 10%
- Hydrogels: synthesis, properties, applications
- Surfaces, Coatings and Films top 10%
- Polymer Surface Interaction Studies
Papers in
-
- Advanced Sensor and Energy Harvesting Materials 7
- Wireless Body Area Networks 2
-
- Energy Harvesting in Wireless Networks 2
- Advanced Memory and Neural Computing 1
- Co-authors
- Zhigang Suo (2 shared papers)Yang Gao (1 shared paper)Stéphanie P. Lacour (8 shared papers)Y. Leterrier (6 shared papers)Massimo Mariello (5 shared papers)Kyungjin Kim (2 shared papers)Shumin Duan (1 shared paper)Julien Carron (1 shared paper)
- Journals
- Advanced Materials (3 papers)Advanced Functional Materials (2 papers)Applied Mathematics and Mechanics (1 paper)Physics of Fluids (1 paper)Extreme Mechanics Letters (1 paper)
- Partner nations
- SwitzerlandChinaCroatia
In The Last Decade
Kangling Wu
12 papers receiving 473 citations
Peers
Comparison fields: 5 of 57
- Molecular Medicine 66
- Surfaces, Coatings and Films 84
- Polymers and Plastics 107
- Biomedical Engineering 300
- Cellular and Molecular Neuroscience 116
Countries citing papers authored by Kangling Wu
This map shows the geographic impact of Kangling 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 Kangling Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kangling Wu more than expected).
Fields of papers citing papers by Kangling Wu
This network shows the impact of papers produced by Kangling 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 Kangling Wu. The network helps show where Kangling Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kangling 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 | 2018 | 232 | |
| 2 | 2022 | 112 | |
| 3 | 2019 | 61 | |
| 4 | 2021 | 32 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 10 | |
| 7 | 2022 | 6 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 1 |
About Kangling Wu
Kangling Wu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Mechanics of Materials and Computational Mechanics, having authored 12 papers that have together received 479 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (7 papers), Neuroscience and Neural Engineering (4 papers), Fluid Dynamics and Turbulent Flows (2 papers), Wireless Body Area Networks (2 papers), Fluid Dynamics and Vibration Analysis (2 papers), Energy Harvesting in Wireless Networks (2 papers), Advanced Memory and Neural Computing (1 paper) and Aerodynamics and Fluid Dynamics Research (1 paper). The work is most often cited by research in Molecular Medicine (66 citations), Surfaces, Coatings and Films (84 citations), Polymers and Plastics (107 citations), Biomedical Engineering (300 citations) and Cellular and Molecular Neuroscience (116 citations). Kangling Wu has collaborated with scholars based in Switzerland, China and Croatia. Frequent co-authors include Zhigang Suo, Yang Gao, Stéphanie P. Lacour, Y. Leterrier, Massimo Mariello, Kyungjin Kim, Shumin Duan, Julien Carron, Xi Wang and Xiaotong Wu. Their work appears in journals such as Advanced Materials, Advanced Functional Materials, Applied Mathematics and Mechanics, Physics of Fluids and Extreme Mechanics Letters.
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.