Qing Wan
- Bioengineering top 0.1%
-
- Advanced Memory and Neural Computing 103
- Thin-Film Transistor Technologies 68
- Semiconductor materials and devices 67
- Gas Sensing Nanomaterials and Sensors 32
- Polymers and Plastics top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neural Engineering 45
- Photoreceptor and optogenetics research 32
- Materials Chemistry top 0.5%
- ZnO doping and properties 64
-
- Nanowire Synthesis and Applications 31
- Journals
- IEEE Electron Device Letters (48 papers)Applied Physics Letters (39 papers)IEEE Transactions on Electron Devices (15 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qing Wan
297 papers receiving 14.2k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Bioengineering 1.5k
- Electrical and Electronic Engineering 11.5k
- Polymers and Plastics 2.5k
- Cellular and Molecular Neuroscience 3.3k
- Materials Chemistry 5.9k
Countries citing papers authored by Qing Wan
This map shows the geographic impact of Qing Wan'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 Qing Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Wan more than expected).
Fields of papers citing papers by Qing Wan
This network shows the impact of papers produced by Qing Wan. 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 Qing Wan. The network helps show where Qing Wan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qing Wan, 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 | 12 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 63 | |
| 11 | 2021 | 21 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 39 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 12 | |
| 16 | 2020 | 44 | |
| 17 | 2020 | 66 | |
| 18 | 2019 | 44 | |
| 19 | 2019 | 17 | |
| 20 | 2010 | 1 |
About Qing Wan
Qing Wan is a scholar working on Bioengineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 302 papers that have together received 14.6k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (103 papers), Thin-Film Transistor Technologies (68 papers), Semiconductor materials and devices (67 papers), ZnO doping and properties (64 papers), Neuroscience and Neural Engineering (45 papers), Photoreceptor and optogenetics research (32 papers), Gas Sensing Nanomaterials and Sensors (32 papers) and Nanowire Synthesis and Applications (31 papers). The work is most often cited by research in Bioengineering (1.5k citations), Electrical and Electronic Engineering (11.5k citations) and Polymers and Plastics (2.5k citations). Qing Wan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yi Shi, T. H. Wang, Li Qiang Zhu, Chang Wan, Chuan Lin, Ping Feng, Yujin Chen, Yongli He, Xiaobo He and Yanghui Liu. Their work appears in journals such as IEEE Electron Device Letters, Applied Physics Letters, IEEE Transactions on Electron Devices, Advanced Materials and Journal of Physics D Applied Physics.
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.