Dakai Wang
Impact in
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- Conducting polymers and applications
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- Advanced Sensor and Energy Harvesting Materials
Papers in
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- Advanced DC-DC Converters 8
- Silicon Carbide Semiconductor Technologies 6
- Multilevel Inverters and Converters 6
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- Advanced Sensor and Energy Harvesting Materials 11
- Co-authors
- Zhiwu Han (11 shared papers)Shichao Niu (8 shared papers)Linpeng Liu (7 shared papers)Junqiu Zhang (4 shared papers)Xiancun Meng (6 shared papers)Jingxiang Wang (4 shared papers)Guoliang Ma (6 shared papers)Changchao Zhang (6 shared papers)
- Journals
- ACS Applied Materials & Interfaces (2 papers)Nano Energy (2 papers)Advanced Science (1 paper)Composites Part A Applied Science and Manufacturing (1 paper)IEEE Transactions on Transportation Electrification (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Dakai Wang
25 papers receiving 316 citations
Peers
Comparison fields: 5 of 53
- Polymers and Plastics 81
- Biomedical Engineering 220
- Cognitive Neuroscience 91
- Bioengineering 16
- Electrical and Electronic Engineering 100
Countries citing papers authored by Dakai Wang
This map shows the geographic impact of Dakai Wang'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 Dakai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dakai Wang more than expected).
Fields of papers citing papers by Dakai Wang
This network shows the impact of papers produced by Dakai Wang. 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 Dakai Wang. The network helps show where Dakai Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dakai Wang, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 48 | |
| 2 | 2022 | 47 | |
| 3 | 2021 | 41 | |
| 4 | 2020 | 26 | |
| 5 | 2022 | 24 | |
| 6 | 2024 | 20 | |
| 7 | 2022 | 19 | |
| 8 | 2022 | 15 | |
| 9 | 2024 | 11 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2025 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2020 | 4 | |
| 17 | 1993 | 4 | |
| 18 | Image Filtering by Combination of the Curvature-Driven and Edge-Stopping Nonlinear Diffusion | 2008 | 3 |
| 19 | 2003 | 3 | |
| 20 | 2024 | 2 |
About Dakai Wang
Dakai Wang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Polymers and Plastics, having authored 31 papers that have together received 322 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (11 papers), Advanced DC-DC Converters (8 papers), Tactile and Sensory Interactions (7 papers), Silicon Carbide Semiconductor Technologies (6 papers), Multilevel Inverters and Converters (6 papers), Conducting polymers and applications (5 papers), Advanced Neural Network Applications (4 papers) and Analytical Chemistry and Sensors (2 papers). The work is most often cited by research in Polymers and Plastics (81 citations), Biomedical Engineering (220 citations), Cognitive Neuroscience (91 citations), Bioengineering (16 citations) and Electrical and Electronic Engineering (100 citations). Dakai Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhiwu Han, Shichao Niu, Linpeng Liu, Junqiu Zhang, Xiancun Meng, Jingxiang Wang, Guoliang Ma, Changchao Zhang, Luquan Ren and Bo Li. Their work appears in journals such as ACS Applied Materials & Interfaces, Nano Energy, Advanced Science, Composites Part A Applied Science and Manufacturing and IEEE Transactions on Transportation Electrification.
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.