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
- Multilevel Inverters and Converters 6
- Silicon Carbide Semiconductor Technologies 6
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- Advanced Sensor and Energy Harvesting Materials 10
- Co-authors
- Zhiwu Han (10 shared papers)Shichao Niu (7 shared papers)Linpeng Liu (7 shared papers)Junqiu Zhang (4 shared papers)Guoliang Ma (7 shared papers)Changchao Zhang (5 shared papers)Xiancun Meng (5 shared papers)Jingxiang Wang (4 shared papers)
- Journals
- Nano Energy (2 papers)ACS Applied Materials & Interfaces (2 papers)Advanced Materials Technologies (1 paper)Digital Signal Processing (1 paper)ACS Nano (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Dakai Wang
24 papers receiving 278 citations
Peers
Comparison fields: 5 of 50
- Polymers and Plastics 81
- Biomedical Engineering 201
- Cognitive Neuroscience 84
- Bioengineering 16
- Electrical and Electronic Engineering 91
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 44 | |
| 2 | 2022 | 43 | |
| 3 | 2021 | 38 | |
| 4 | 2020 | 23 | |
| 5 | 2022 | 22 | |
| 6 | 2024 | 18 | |
| 7 | 2022 | 17 | |
| 8 | 2022 | 14 | |
| 9 | 2024 | 11 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 1993 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2024 | 3 | |
| 16 | Image Filtering by Combination of the Curvature-Driven and Edge-Stopping Nonlinear Diffusion | 2008 | 3 |
| 17 | 2003 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2019 | 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 30 papers that have together received 285 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (10 papers), Advanced DC-DC Converters (8 papers), Tactile and Sensory Interactions (7 papers), Multilevel Inverters and Converters (6 papers), Silicon Carbide Semiconductor Technologies (6 papers), Conducting polymers and applications (5 papers), Advanced Neural Network Applications (4 papers) and Advanced Algorithms and Applications (2 papers). The work is most often cited by research in Polymers and Plastics (81 citations), Biomedical Engineering (201 citations), Cognitive Neuroscience (84 citations), Bioengineering (16 citations) and Electrical and Electronic Engineering (91 citations). Dakai Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Zhiwu Han, Shichao Niu, Linpeng Liu, Junqiu Zhang, Guoliang Ma, Changchao Zhang, Xiancun Meng, Jingxiang Wang, Luquan Ren and Bo Li. Their work appears in journals such as Nano Energy, ACS Applied Materials & Interfaces, Advanced Materials Technologies, Digital Signal Processing and ACS Nano.
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.