Di Wei
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- Supercapacitor Materials and Fabrication 51
- Bioengineering top 0.2%
- Polymers and Plastics top 0.5%
- Conducting polymers and applications 44
- Electrochemistry top 1%
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- Advanced Sensor and Energy Harvesting Materials 49
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- Advancements in Battery Materials 27
- Advanced Battery Materials and Technologies 15
- Advanced Memory and Neural Computing 14
- Advanced battery technologies research 14
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- Graphene research and applications 16
- Co-authors
- Ari IvaskaTapani RyhänenZhongfan LiuJingquan LiuRongkun ZhengPiers AndrewJani KiviojaZhong Lin Wang
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Di Wei
244 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Electronic, Optical and Magnetic Materials 2.8k
- Bioengineering 733
- Polymers and Plastics 1.8k
- Renewable Energy, Sustainability and the Environment 1.9k
- Electrochemistry 579
Countries citing papers authored by Di Wei
This map shows the geographic impact of Di Wei'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 Di Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Wei more than expected).
Fields of papers citing papers by Di Wei
This network shows the impact of papers produced by Di Wei. 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 Di Wei. The network helps show where Di Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Di Wei, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 6 | |
| 4 | 2024 | 13 | |
| 5 | 2024 | 20 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 25 | |
| 8 | 2024 | 21 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 8 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 39 | |
| 14 | 2023 | 34 | |
| 15 | 2022 | 7 | |
| 16 | 2021 | 125 | |
| 17 | 2021 | 78 | |
| 18 | 2020 | 14 | |
| 19 | 2019 | 17 | |
| 20 | HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognitionbreakdown → | 2015 | 482 |
About Di Wei
Di Wei is a scholar working on Polymers and Plastics, Electronic, Optical and Magnetic Materials and Bioengineering, having authored 257 papers that have together received 11.7k indexed citations. Recurring topics across this work include Supercapacitor Materials and Fabrication (51 papers), Advanced Sensor and Energy Harvesting Materials (49 papers), Conducting polymers and applications (44 papers), Advancements in Battery Materials (27 papers), Graphene research and applications (16 papers), Advanced Battery Materials and Technologies (15 papers), Advanced Memory and Neural Computing (14 papers) and Advanced battery technologies research (14 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (2.8k citations), Bioengineering (733 citations) and Polymers and Plastics (1.8k citations). Di Wei has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ari Ivaska, Tapani Ryhänen, Zhongfan Liu, Jingquan Liu, Rongkun Zheng, Piers Andrew, Jani Kivioja, Zhong Lin Wang, Robinson Piramuthu and Huaying Ren. Their work appears in journals such as Nano Energy, Chemical Engineering Journal, Small, Nanotechnology and Advanced Functional Materials.
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.