Pu Guo
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Polymers and Plastics top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Topics
- Advanced Memory and Neural Computing (22 papers)Photoreceptor and optogenetics research (11 papers)Perovskite Materials and Applications (7 papers)
- Cited by
- Polymers and PlasticsCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Pu Guo
23 papers receiving 656 citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Electrical and Electronic Engineering 569
- Cellular and Molecular Neuroscience 242
- Polymers and Plastics 188
- Artificial Intelligence 132
- Biomedical Engineering 121
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-authorship network of co-authors of Pu Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Pu Guo. A scholar is included among the top collaborators of Pu Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pu Guo. Pu Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 22 | |
| 8 | 13 | |
| 9 | 44 | |
| 10 | 10 | |
| 11 | 22 | |
| 12 | Retina‐Inspired Artificial Synapses with Ultraviolet to Near‐Infrared Broadband Responses for Energy‐Efficient Neuromorphic Visual Systemsbreakdown → | 114 |
| 13 | 40 | |
| 14 | 7 | |
| 15 | 25 | |
| 16 | 35 | |
| 17 | 35 | |
| 18 | 17 | |
| 19 | 37 | |
| 20 | 51 |
About Pu Guo
Pu Guo is a scholar working on Polymers and Plastics, Cellular and Molecular Neuroscience and Bioengineering, having authored 27 papers that have together received 669 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (22 papers), Photoreceptor and optogenetics research (11 papers) and Perovskite Materials and Applications (7 papers). The work is most often cited by research in Polymers and Plastics (188 citations), Cellular and Molecular Neuroscience (242 citations) and Electrical and Electronic Engineering (569 citations). Pu Guo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jia Huang, Junyao Zhang, Ben Yang, Lize Xiong, Dandan Hao, Tongrui Sun, Ziyi Guo, Shilei Dai, Dapeng Liu and Yan Wang. Their work appears in journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.
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.