Peiran Gao

2.3k total citations · 1 hit paper
7 papers, 1.2k citations indexed

About

Peiran Gao is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peiran Gao has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 3 papers in Cognitive Neuroscience and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Peiran Gao's work include Advanced Memory and Neural Computing (4 papers), Neural dynamics and brain function (3 papers) and Neuroscience and Neural Engineering (2 papers). Peiran Gao is often cited by papers focused on Advanced Memory and Neural Computing (4 papers), Neural dynamics and brain function (3 papers) and Neuroscience and Neural Engineering (2 papers). Peiran Gao collaborates with scholars based in United States, France and Russia. Peiran Gao's co-authors include Surya Ganguli, Ben Varkey Benjamin, Kwabena Boahen, John V. Arthur, Paul Merolla, Swadesh Choudhary, Anand Chandrasekaran, Emmett McQuinn, Jean-Marie Bussat and Rodrigo Alvarez-Icaza and has published in prestigious journals such as Proceedings of the IEEE, Current Opinion in Neurobiology and IEEE Transactions on Engineering Management.

In The Last Decade

Peiran Gao

7 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations

2014 847 citations Ben Varkey Benjamin, Peiran Gao et al. Proceedings of the IEEE profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peiran Gao United States	7	877	587	397	344	52	7	1.2k
Yujie Wu China	17	2.0k 2.3×	1.2k 2.1×	443 1.1×	864 2.5×	19 0.4×	36	2.4k
Wen Ma United States	12	1.7k 1.9×	529 0.9×	755 1.9×	597 1.7×	15 0.3×	15	2.0k
Garrett T. Kenyon United States	15	257 0.3×	225 0.4×	168 0.4×	118 0.3×	9 0.2×	74	933
G. Jiménez Spain	20	925 1.1×	440 0.7×	483 1.2×	177 0.5×	6 0.1×	90	1.3k
David Feng United States	12	100 0.1×	405 0.7×	240 0.6×	68 0.2×	6 0.1×	29	729
Jian K. Liu China	17	345 0.4×	527 0.9×	233 0.6×	191 0.6×	9 0.2×	85	1.0k
Byung‐Geun Lee South Korea	21	1000 1.1×	192 0.3×	376 0.9×	176 0.5×	59 1.1×	60	1.4k
Takashi Kohno Japan	14	289 0.3×	192 0.3×	131 0.3×	118 0.3×	7 0.1×	79	495
Joachim Becker Germany	18	728 0.8×	153 0.3×	336 0.8×	71 0.2×	10 0.2×	86	1.0k
Zheng Zhou China	18	664 0.8×	88 0.1×	259 0.7×	134 0.4×	25 0.5×	56	883

Countries citing papers authored by Peiran Gao

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Hu, Zhiming, et al.. (2022). Convergence or Divergence: A Computational Text Analysis of Stakeholder Concerns on Manufacturing Upgrading in China. IEEE Transactions on Engineering Management. 71. 1285–1295. 10 indexed citations

2.

Gao, Peiran & Surya Ganguli. (2015). On simplicity and complexity in the brave new world of large-scale neuroscience. Current Opinion in Neurobiology. 32. 148–155. 200 indexed citations

3.

Benjamin, Ben Varkey, Peiran Gao, Emmett McQuinn, et al.. (2014). Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations. Proceedings of the IEEE. 102(5). 699–716. 847 indexed citations breakdown →

4.

Gao, Peiran, Ben Varkey Benjamin, & Kwabena Boahen. (2012). Dynamical System Guided Mapping of Quantitative Neuronal Models Onto Neuromorphic Hardware. IEEE Transactions on Circuits and Systems I Regular Papers. 59(10). 2383–2394. 28 indexed citations

5.

Benjamin, Ben Varkey, John V. Arthur, Peiran Gao, Paul Merolla, & Kwabena Boahen. (2012). A superposable silicon synapse with programmable reversal potential. PubMed. 2012. 771–774. 8 indexed citations

6.

Gao, Peiran, et al.. (2009). Classifying urban landscape in aerial LiDAR using 3D shape analysis. 1701–1704. 56 indexed citations

7.

Gao, Peiran, et al.. (2008). Optical proximity correction with principal component regression. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6924. 69243N–69243N. 15 indexed citations

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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