Peng Yuan
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- Ferroelectric and Negative Capacitance Devices 47
- Advanced Memory and Neural Computing 40
- Semiconductor materials and devices 33
- Numerical Analysis top 10%
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- Neuroscience and Neural Engineering 4
- Materials Chemistry top 10%
- MXene and MAX Phase Materials 7
- Electronic and Structural Properties of Oxides 5
- Ferroelectric and Piezoelectric Materials 5
- Polymers and Plastics top 10%
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- Solar-Powered Water Purification Methods 3
- Co-authors
- Qing LuoTiancheng GongHangbing LvXiaoxin XuPengfei JiangJosef StoerYuan WangLu Tai
- Journals
- Brain Research (1 paper)Chemical Engineering Journal (1 paper)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Peng Yuan
67 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 57
- Electrical and Electronic Engineering 901
- Numerical Analysis 53
- Cellular and Molecular Neuroscience 156
- Materials Chemistry 374
- Polymers and Plastics 107
Countries citing papers authored by Peng Yuan
This map shows the geographic impact of Peng Yuan'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 Peng Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Yuan more than expected).
Fields of papers citing papers by Peng Yuan
This network shows the impact of papers produced by Peng Yuan. 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 Peng Yuan. The network helps show where Peng Yuan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peng Yuan, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 20 | |
| 9 | 2019 | 3 | |
| 10 | 2019 | 28 | |
| 11 | 2019 | 41 | |
| 12 | 2019 | 17 | |
| 13 | 2018 | 8 | |
| 14 | 2018 | 9 | |
| 15 | 2018 | 31 | |
| 16 | 2018 | 9 | |
| 17 | 2018 | 76 | |
| 18 | 2017 | 13 | |
| 19 | 2017 | 74 | |
| 20 | 2017 | 2 |
About Peng Yuan
Peng Yuan is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (47 papers), Advanced Memory and Neural Computing (40 papers), Semiconductor materials and devices (33 papers), MXene and MAX Phase Materials (7 papers), Electronic and Structural Properties of Oxides (5 papers), Ferroelectric and Piezoelectric Materials (5 papers), Neuroscience and Neural Engineering (4 papers) and Solar-Powered Water Purification Methods (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (901 citations), Numerical Analysis (53 citations) and Cellular and Molecular Neuroscience (156 citations). Peng Yuan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Qing Luo, Tiancheng Gong, Hangbing Lv, Xiaoxin Xu, Pengfei Jiang, Josef Stoer, Yuan Wang, Lu Tai, Qi Liu and Danian Dong. Their work appears in journals such as Brain Research, Chemical Engineering Journal and ACS Applied Materials & Interfaces.
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.