Hao Wei
Impact in
- Polymers and Plastics top 5%
- Conducting polymers and applications
- Biomedical Engineering top 2%
- Advanced Sensor and Energy Harvesting Materials
Papers in
-
- Advanced Sensor and Energy Harvesting Materials 14
- Graphene and Nanomaterials Applications 5
-
- Innovative Energy Harvesting Technologies 6
- Co-authors
- Weibo Cai (6 shared papers)Jun Li (5 shared papers)Yin Long (5 shared papers)Xudong Wang (5 shared papers)Guang Yao (3 shared papers)Zhi Yang (5 shared papers)Carolina de Aguiar Ferreira (3 shared papers)Xiaoli Lan (3 shared papers)
- Journals
- Nano Energy (7 papers)Small (2 papers)ACS Nano (2 papers)ACS Applied Materials & Interfaces (2 papers)Nano-Micro Letters (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Hao Wei
69 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 128
- Polymers and Plastics 476
- Biomedical Engineering 1.3k
- Biomaterials 276
- Rehabilitation 117
- Cellular and Molecular Neuroscience 316
Countries citing papers authored by Hao Wei
This map shows the geographic impact of Hao 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 Hao Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Wei more than expected).
Fields of papers citing papers by Hao Wei
This network shows the impact of papers produced by Hao 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 Hao Wei. The network helps show where Hao Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 347 | |
| 2 | 2018 | 306 | |
| 3 | 2013 | 266 | |
| 4 | 2015 | 192 | |
| 5 | 2017 | 107 | |
| 6 | 2022 | 101 | |
| 7 | 2023 | 94 | |
| 8 | 2020 | 88 | |
| 9 | 2018 | 70 | |
| 10 | 2024 | 59 | |
| 11 | 2007 | 52 | |
| 12 | 2023 | 48 | |
| 13 | 2023 | 47 | |
| 14 | 2021 | 46 | |
| 15 | 2022 | 46 | |
| 16 | 2022 | 44 | |
| 17 | 2021 | 41 | |
| 18 | 2021 | 35 | |
| 19 | 2023 | 35 | |
| 20 | 2023 | 34 |
About Hao Wei
Hao Wei is a scholar working on Biomedical Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Control and Systems Engineering, having authored 77 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (14 papers), Innovative Energy Harvesting Technologies (6 papers), Graphene and Nanomaterials Applications (5 papers), Conducting polymers and applications (5 papers), Magnetic Bearings and Levitation Dynamics (4 papers), Neuroscience and Neural Engineering (4 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Advanced Photocatalysis Techniques (4 papers). The work is most often cited by research in Polymers and Plastics (476 citations), Biomedical Engineering (1.3k citations), Biomaterials (276 citations), Rehabilitation (117 citations) and Cellular and Molecular Neuroscience (316 citations). Hao Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weibo Cai, Jun Li, Yin Long, Xudong Wang, Guang Yao, Zhi Yang, Carolina de Aguiar Ferreira, Xiaoli Lan, Dalong Ni and Lei Kang. Their work appears in journals such as Nano Energy, Small, ACS Nano, ACS Applied Materials & Interfaces and Nano-Micro 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.