Guoyun Gao

2.8k citations
31 papers · 2.5k indexed · 2 hit papers · h-index 21
Topics
Advanced Sensor and Energy Harvesting Materials (15 papers)2D Materials and Applications (11 papers)Advanced Memory and Neural Computing (8 papers)
Journals
Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Guoyun Gao

30 papers receiving 2.4k citations

Hit Papers

Bioinspired mechano-photonic artificial synapse based on ...202120262022202420212021100200300

Peers

Guoyun Gao
Comparison fields: 5 of 71
  • Electrical and Electronic Engineering 1.7k
  • Biomedical Engineering 1.1k
  • Materials Chemistry 933
  • Polymers and Plastics 632
  • Cellular and Molecular Neuroscience 359
Replace Mingde Du with:
Mingde Du China
Jinran Yu China
Xixi Yang China
Zengguang Cheng China
Wen‐Tian Mi China
Suk Man Cho South Korea
Wenqiang Wu China
Pinyi Yang United States
Jaewon Jang South Korea
Hanul Moon South Korea
Guoyun Gao relative to Mingde Du China Mingde Du's profile →
Citations per field
00.5×1.5×
Mingde Du · 1×
Citations per year

Countries citing papers authored by Guoyun Gao

Since Specialization
Citations

This map shows the geographic impact of Guoyun Gao'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 Guoyun Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoyun Gao more than expected).

Fields of papers citing papers by Guoyun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guoyun Gao. 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 Guoyun Gao. The network helps show where Guoyun Gao may publish in the future.

Co-authorship network of co-authors of Guoyun Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Guoyun Gao. A scholar is included among the top collaborators of Guoyun Gao 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 Guoyun Gao. Guoyun Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 20
4 2
5 22
6 19
7 52
8 134
9 6
10
Bioinspired mechano-photonic artificial synapse based on graphene/MoS 2 heterostructurebreakdown →
309
11
Contact-electrification-activated artificial afferents at femtojoule energybreakdown →
202
12 90
13 64
14 25
15 37
16 81
17 110
18 45
19 15
20 157

About Guoyun Gao

Guoyun Gao is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Polymers and Plastics, having authored 31 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (15 papers), 2D Materials and Applications (11 papers) and Advanced Memory and Neural Computing (8 papers). The work is most often cited by research in Polymers and Plastics (632 citations), Electrical and Electronic Engineering (1.7k citations) and Biomedical Engineering (1.1k citations). Guoyun Gao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhong Lin Wang, Qijun Sun, Jinran Yu, Xixi Yang, Youhui Chen, Caofeng Pan, Jing Han, Yifei Wang, Huai Zhang and Xiaonian Yang. 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.

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