Panni Wang
Impact in
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- Ferroelectric and Negative Capacitance Devices
- Advanced Memory and Neural Computing
- Semiconductor materials and devices
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- Neuroscience and Neural Engineering
Papers in ⓘ
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- Ferroelectric and Negative Capacitance Devices 24
- Advanced Memory and Neural Computing 22
- Semiconductor materials and devices 19
- Advancements in Semiconductor Devices and Circuit Design 2
- Advanced MEMS and NEMS Technologies 1
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- MXene and MAX Phase Materials 5
- Co-authors
- Shimeng Yu (26 shared papers)Asif Islam Khan (16 shared papers)Jae Hur (12 shared papers)Suman Datta (8 shared papers)Zheng Wang (8 shared papers)Xiaoyu Sun (5 shared papers)Kai Ni (3 shared papers)Gihun Choe (4 shared papers)
- Journals
- IEEE Transactions on Electron Devices (5 papers)Applied Physics Letters (2 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)IEEE Electron Device Letters (1 paper)MRS Communications (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Panni Wang
27 papers receiving 632 citations
Peers
Comparison fields: 5 of 31
- Electrical and Electronic Engineering 632
- Cellular and Molecular Neuroscience 74
- Materials Chemistry 175
- Hardware and Architecture 22
- Artificial Intelligence 78
Countries citing papers authored by Panni Wang
This map shows the geographic impact of Panni Wang'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 Panni Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panni Wang more than expected).
Fields of papers citing papers by Panni Wang
This network shows the impact of papers produced by Panni Wang. 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 Panni Wang. The network helps show where Panni Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Panni Wang, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 94 | |
| 2 | 2018 | 83 | |
| 3 | 2020 | 53 | |
| 4 | 2020 | 35 | |
| 5 | 2021 | 35 | |
| 6 | 2020 | 33 | |
| 7 | 2020 | 32 | |
| 8 | 2020 | 32 | |
| 9 | 2020 | 32 | |
| 10 | 2019 | 30 | |
| 11 | 2020 | 23 | |
| 12 | 2020 | 22 | |
| 13 | 2020 | 18 | |
| 14 | 2019 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2019 | 15 | |
| 18 | 2020 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2021 | 12 |
About Panni Wang
Panni Wang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Cellular and Molecular Neuroscience, Computer Networks and Communications and Cognitive Neuroscience, having authored 28 papers that have together received 655 indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (24 papers), Advanced Memory and Neural Computing (22 papers), Semiconductor materials and devices (19 papers), MXene and MAX Phase Materials (5 papers), Neuroscience and Neural Engineering (3 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers), Acoustic Wave Resonator Technologies (1 paper) and Advanced MEMS and NEMS Technologies (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (632 citations), Cellular and Molecular Neuroscience (74 citations), Materials Chemistry (175 citations), Hardware and Architecture (22 citations) and Artificial Intelligence (78 citations). Panni Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Shimeng Yu, Asif Islam Khan, Jae Hur, Suman Datta, Zheng Wang, Xiaoyu Sun, Kai Ni, Gihun Choe, Wonbo Shim and Yuan-Chun Luo. Their work appears in journals such as IEEE Transactions on Electron Devices, Applied Physics Letters, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Electron Device Letters and MRS Communications.
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.