David Wei Zhang
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- Materials Chemistry top 1%
- 2D Materials and Applications
- MXene and MAX Phase Materials
- ZnO doping and properties
- Graphene research and applications
Papers in
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- Semiconductor materials and devices 110
- Advanced Memory and Neural Computing 77
- Ferroelectric and Negative Capacitance Devices 76
- Advancements in Semiconductor Devices and Circuit Design 44
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- 2D Materials and Applications 48
- ZnO doping and properties 41
- MXene and MAX Phase Materials 38
David Wei Zhang
266 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Electrical and Electronic Engineering 6.3k
- Materials Chemistry 4.2k
- Polymers and Plastics 869
- Electronic, Optical and Magnetic Materials 1.0k
- Cellular and Molecular Neuroscience 1.0k
Countries citing papers authored by David Wei Zhang
This map shows the geographic impact of David Wei Zhang'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 David Wei Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Wei Zhang more than expected).
Fields of papers citing papers by David Wei Zhang
This network shows the impact of papers produced by David Wei Zhang. 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 David Wei Zhang. The network helps show where David Wei Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside David Wei Zhang, 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 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 17 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 18 | |
| 10 | 2022 | 0 | |
| 11 | 2022 | 35 | |
| 12 | 2022 | 17 | |
| 13 | 2021 | 110 | |
| 14 | 2020 | 40 | |
| 15 | 2020 | 107 | |
| 16 | 2019 | 30 | |
| 17 | 2019 | 72 | |
| 18 | 2019 | 42 | |
| 19 | 2019 | 24 | |
| 20 | 2017 | 67 |
About David Wei Zhang
David Wei Zhang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Electronic, Optical and Magnetic Materials, Polymers and Plastics and Condensed Matter Physics, having authored 281 papers that have together received 8.2k indexed citations. Recurring topics across this work include Semiconductor materials and devices (110 papers), Advanced Memory and Neural Computing (77 papers), Ferroelectric and Negative Capacitance Devices (76 papers), 2D Materials and Applications (48 papers), Advancements in Semiconductor Devices and Circuit Design (44 papers), ZnO doping and properties (41 papers), MXene and MAX Phase Materials (38 papers) and Ga2O3 and related materials (34 papers). The work is most often cited by research in Electrical and Electronic Engineering (6.3k citations), Materials Chemistry (4.2k citations), Polymers and Plastics (869 citations), Electronic, Optical and Magnetic Materials (1.0k citations) and Cellular and Molecular Neuroscience (1.0k citations). David Wei Zhang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Peng Zhou, Qingqing Sun, Shi‐Jin Ding, Lin Chen, Hao Zhu, Hong-Liang Lü, Tianyu Wang, Huawei Chen, Shuiyuan Wang and Wenzhong Bao. Their work appears in journals such as IEEE Electron Device Letters, IEEE Transactions on Electron Devices, Applied Physics Letters, Nanoscale Research Letters and AIP Advances.
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.