Kaikai Gao
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience top 10%
- Polymers and Plastics
- Materials Chemistry
- Artificial Intelligence
- Topics
- Advanced Memory and Neural Computing (15 papers)Neuroscience and Neural Engineering (11 papers)Photoreceptor and optogenetics research (7 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
- Partner nations
- ChinaSwitzerland
In The Last Decade
Kaikai Gao
14 papers receiving 314 citations
Hit Papers
Peers
Comparison fields: 5 of 33
- Electrical and Electronic Engineering 299
- Cellular and Molecular Neuroscience 132
- Polymers and Plastics 70
- Materials Chemistry 38
- Artificial Intelligence 36
Countries citing papers authored by Kaikai Gao
This map shows the geographic impact of Kaikai 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 Kaikai Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaikai Gao more than expected).
Fields of papers citing papers by Kaikai Gao
This network shows the impact of papers produced by Kaikai 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 Kaikai Gao. The network helps show where Kaikai Gao may publish in the future.
Co-authorship network of co-authors of Kaikai Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Kaikai Gao. A scholar is included among the top collaborators of Kaikai 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 Kaikai Gao. Kaikai Gao 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 | 9 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | Memristor‐Based Neuromorphic Chipsbreakdown → | 213 |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 43 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | 27 | |
| 17 | 4 | |
| 18 | 1 |
About Kaikai Gao
Kaikai Gao is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Polymers and Plastics, having authored 18 papers that have together received 326 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (15 papers), Neuroscience and Neural Engineering (11 papers) and Photoreceptor and optogenetics research (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (132 citations), Electrical and Electronic Engineering (299 citations) and Polymers and Plastics (70 citations). Kaikai Gao has collaborated with scholars based in China and Switzerland. Frequent co-authors include Bai Sun, Zelin Cao, Wentao Yan, Xuegang Duan, Guangdong Zhou, Siyu Sun, Fenggang Ren, Zhenhua Wu, Jinyou Shao and Xiaoliang Chen. Their work appears in journals such as Advanced Materials, Advanced Functional Materials and Nano 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.