Pu Guo
Impact in
-
- Advanced Memory and Neural Computing
- Organic Electronics and Photovoltaics
- Perovskite Materials and Applications
- Gas Sensing Nanomaterials and Sensors
-
- Conducting polymers and applications
Papers in
-
- Advanced Memory and Neural Computing 19
- Perovskite Materials and Applications 1
- Organic Electronics and Photovoltaics 1
-
- Conducting polymers and applications 2
- Co-authors
- Jia Dong Huang (26 shared papers)Junyao Zhang (24 shared papers)Ben Yang (10 shared papers)Tongrui Sun (16 shared papers)Lize Xiong (10 shared papers)Shilei Dai (14 shared papers)Ziyi Guo (11 shared papers)Dandan Hao (7 shared papers)
In The Last Decade
Pu Guo
27 papers receiving 897 citations
Peers
Comparison fields: 5 of 25
- Electrical and Electronic Engineering 656
- Polymers and Plastics 28
- Biomedical Engineering 53
- Materials Chemistry 38
- Electronic, Optical and Magnetic Materials 10
Countries citing papers authored by Pu Guo
This map shows the geographic impact of Pu Guo'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 Pu Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Guo more than expected).
Fields of papers citing papers by Pu Guo
This network shows the impact of papers produced by Pu Guo. 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 Pu Guo. The network helps show where Pu Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu Guo, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 147 | |
| 2 | 2021 | 68 | |
| 3 | 2021 | 64 | |
| 4 | 2022 | 62 | |
| 5 | 2024 | 56 | |
| 6 | 2023 | 55 | |
| 7 | 2023 | 49 | |
| 8 | 2023 | 44 | |
| 9 | 2022 | 40 | |
| 10 | 2023 | 37 | |
| 11 | 2021 | 36 | |
| 12 | 2024 | 36 | |
| 13 | 2022 | 35 | |
| 14 | 2023 | 29 | |
| 15 | 2024 | 27 | |
| 16 | 2024 | 24 | |
| 17 | 2025 | 23 | |
| 18 | 2022 | 17 | |
| 19 | 2024 | 11 | |
| 20 | 2024 | 10 |
About Pu Guo
Pu Guo is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Electronic, Optical and Magnetic Materials, Biomedical Engineering and Nuclear Energy and Engineering, having authored 27 papers that have together received 912 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (19 papers), Conducting polymers and applications (2 papers), Advanced Sensor and Energy Harvesting Materials (1 paper), Perovskite Materials and Applications (1 paper), Liquid Crystal Research Advancements (1 paper) and Organic Electronics and Photovoltaics (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (656 citations), Polymers and Plastics (28 citations), Biomedical Engineering (53 citations), Materials Chemistry (38 citations) and Electronic, Optical and Magnetic Materials (10 citations). Pu Guo has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Jia Dong Huang, Junyao Zhang, Ben Yang, Tongrui Sun, Lize Xiong, Shilei Dai, Ziyi Guo, Dandan Hao, Dapeng Liu and Li Li. Their work appears in journals such as Advanced Functional Materials, Nano Research, Advanced Materials, ACS Sensors and Nano Letters.
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.