Peng Cui
Impact in
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- Electrocatalysts for Energy Conversion
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- Advancements in Solid Oxide Fuel Cells
- Electronic and Structural Properties of Oxides
Papers in
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- Advanced Text Analysis Techniques 5
- Sentiment Analysis and Opinion Mining 3
- Natural Language Processing Techniques 2
- Topic Modeling 2
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- Advanced battery technologies research 2
- Co-authors
- Heping Xie (1 shared paper)Yufei Song (1 shared paper)Siyuan Zhao (1 shared paper)Shuo Zhai (1 shared paper)Daqin Guan (1 shared paper)Zongping Shao (1 shared paper)Bin Chen (1 shared paper)Meng Ni (1 shared paper)
In The Last Decade
Peng Cui
19 papers receiving 437 citations
Peers
Comparison fields: 5 of 69
- Renewable Energy, Sustainability and the Environment 99
- Materials Chemistry 182
- Electronic, Optical and Magnetic Materials 69
- Catalysis 26
- Artificial Intelligence 102
Countries citing papers authored by Peng Cui
This map shows the geographic impact of Peng Cui'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 Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Cui more than expected).
Fields of papers citing papers by Peng Cui
This network shows the impact of papers produced by Peng Cui. 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 Cui. The network helps show where Peng Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng Cui, 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 | 2022 | 200 | |
| 2 | 2021 | 70 | |
| 3 | 2020 | 46 | |
| 4 | 2013 | 28 | |
| 5 | 2022 | 26 | |
| 6 | 2021 | 17 | |
| 7 | 2016 | 13 | |
| 8 | 2012 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 6 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2016 | 3 | |
| 14 | 2012 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2010 | 1 | |
| 17 | 2006 | 1 | |
| 18 | 2014 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2024 | 0 |
About Peng Cui
Peng Cui is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Aerospace Engineering and Mechanical Engineering, having authored 20 papers that have together received 445 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (5 papers), Complex Network Analysis Techniques (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Induction Heating and Inverter Technology (2 papers), Natural Language Processing Techniques (2 papers), Aluminum Alloys Composites Properties (2 papers), Topic Modeling (2 papers) and Advanced battery technologies research (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (99 citations), Materials Chemistry (182 citations), Electronic, Optical and Magnetic Materials (69 citations), Catalysis (26 citations) and Artificial Intelligence (102 citations). Peng Cui has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Heping Xie, Yufei Song, Siyuan Zhao, Shuo Zhai, Daqin Guan, Zongping Shao, Bin Chen, Meng Ni, Jian Wang and Yuanchao Liu. Their work appears in journals such as Chemical Engineering Journal, Materials Letters, ACS Applied Electronic Materials, Nature Energy and Applied Energy.
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.