Wei Huang
- Polymers and Plastics top 0.2%
- Conducting polymers and applications 70
-
- Organic Electronics and Photovoltaics 68
- Thin-Film Transistor Technologies 34
- Perovskite Materials and Applications 24
- Semiconductor materials and devices 19
- Advanced Memory and Neural Computing 17
- Bioengineering top 0.5%
- Analytical Chemistry and Sensors 15
- Materials Chemistry top 2%
- Biomedical Engineering top 1%
- Advanced Sensor and Energy Harvesting Materials 31
- Co-authors
- Tobin J. MarksAntonio FacchettiBinghao WangJunsheng YuLifeng ChiMohammed Al‐HashimiYao ChenJianhua Chen
- Journals
- Chemical Reviews (1 paper)Proceedings of the National Academy of Sciences (7 papers)Journal of the American Chemical Society (8 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Wei Huang
176 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Polymers and Plastics 3.1k
- Electrical and Electronic Engineering 5.2k
- Bioengineering 463
- Materials Chemistry 2.0k
- Biomedical Engineering 1.7k
Countries citing papers authored by Wei Huang
This map shows the geographic impact of Wei Huang'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 Wei Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Huang more than expected).
Fields of papers citing papers by Wei Huang
This network shows the impact of papers produced by Wei Huang. 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 Wei Huang. The network helps show where Wei Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei Huang, 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 | 0 | |
| 2 | Biomolecule sensors based on organic electrochemical transistorsbreakdown → | 2025 | 23 |
| 3 | 2024 | 3 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 39 | |
| 7 | 2023 | 31 | |
| 8 | 2023 | 21 | |
| 9 | The role of digital transformation practices in the operations improvement in manufacturing firms: A practice-based viewbreakdown → | 2023 | 89 |
| 10 | 2023 | 22 | |
| 11 | Flexible and Stretchable Organic Electrochemical Transistors for Physiological Sensing Devicesbreakdown → | 2023 | 118 |
| 12 | Highly stretchable organic electrochemical transistors with strain-resistant performancebreakdown → | 2022 | 181 |
| 13 | 2021 | 25 | |
| 14 | 2021 | 171 | |
| 15 | 2021 | 67 | |
| 16 | 2020 | 106 | |
| 17 | 2020 | 48 | |
| 18 | 2019 | 113 | |
| 19 | 2018 | 102 | |
| 20 | 2017 | 19 |
About Wei Huang
Wei Huang is a scholar working on Polymers and Plastics, Bioengineering and Electrical and Electronic Engineering, having authored 179 papers that have together received 7.5k indexed citations. Recurring topics across this work include Conducting polymers and applications (70 papers), Organic Electronics and Photovoltaics (68 papers), Thin-Film Transistor Technologies (34 papers), Advanced Sensor and Energy Harvesting Materials (31 papers), Perovskite Materials and Applications (24 papers), Semiconductor materials and devices (19 papers), Advanced Memory and Neural Computing (17 papers) and Analytical Chemistry and Sensors (15 papers). The work is most often cited by research in Polymers and Plastics (3.1k citations), Electrical and Electronic Engineering (5.2k citations) and Bioengineering (463 citations). Wei Huang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Tobin J. Marks, Antonio Facchetti, Binghao Wang, Junsheng Yu, Lifeng Chi, Mohammed Al‐Hashimi, Yao Chen, Jianhua Chen, Xinge Yu and Xinming Zhuang. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.