Peiran Gao
- Electrical and Electronic Engineering top 5%
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Artificial Intelligence top 5%
- Environmental Engineering
- Co-authors
- Surya GanguliBen Varkey BenjaminKwabena BoahenJohn V. ArthurPaul MerollaSwadesh ChoudharyJean-Marie BussatEmmett McQuinn
- Topics
- Advanced Memory and Neural Computing (4 papers)Neural dynamics and brain function (3 papers)Neuroscience and Neural Engineering (2 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- Proceedings of the IEEECurrent Opinion in NeurobiologyIEEE Transactions on Engineering Management
- Partner nations
- United StatesRussiaChina
In The Last Decade
Peiran Gao
7 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Electrical and Electronic Engineering 877
- Cognitive Neuroscience 587
- Cellular and Molecular Neuroscience 397
- Artificial Intelligence 344
- Environmental Engineering 52
Countries citing papers authored by Peiran Gao
This map shows the geographic impact of Peiran 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 Peiran Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiran Gao more than expected).
Fields of papers citing papers by Peiran Gao
This network shows the impact of papers produced by Peiran 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 Peiran Gao. The network helps show where Peiran Gao may publish in the future.
Co-authorship network of co-authors of Peiran Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Peiran Gao. A scholar is included among the top collaborators of Peiran 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 Peiran Gao. Peiran 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 | 10 | |
| 2 | 200 | |
| 3 | Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulationsbreakdown → | 847 |
| 4 | 28 | |
| 5 | 8 | |
| 6 | 56 | |
| 7 | 15 |
About Peiran Gao
Peiran Gao is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Industrial and Manufacturing Engineering, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (4 papers), Neural dynamics and brain function (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Cognitive Neuroscience (587 citations), Cellular and Molecular Neuroscience (397 citations) and Electrical and Electronic Engineering (877 citations). Peiran Gao has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Surya Ganguli, Ben Varkey Benjamin, Kwabena Boahen, John V. Arthur, Paul Merolla, Swadesh Choudhary, Jean-Marie Bussat, Emmett McQuinn, Anand Chandrasekaran and Rodrigo Alvarez-Icaza. Their work appears in journals such as Proceedings of the IEEE, Current Opinion in Neurobiology and IEEE Transactions on Engineering Management.
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.