Peng Yan

3.0k total citations · 2 hit papers
13 papers, 1.6k citations indexed

About

Peng Yan is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Peng Yan has authored 13 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 9 papers in Cellular and Molecular Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Peng Yan's work include Advanced Memory and Neural Computing (12 papers), Neuroscience and Neural Engineering (8 papers) and Ferroelectric and Negative Capacitance Devices (8 papers). Peng Yan is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), Neuroscience and Neural Engineering (8 papers) and Ferroelectric and Negative Capacitance Devices (8 papers). Peng Yan collaborates with scholars based in United States, China and Switzerland. Peng Yan's co-authors include Qiangfei Xia, Peng Lin, Can Li, Yunning Li, J. Joshua Yang, Qing Wu, Zhongrui Wang, R. Stanley Williams, Miao Hu and Ning Ge and has published in prestigious journals such as Advanced Materials, Nature Communications and Applied Physics Letters.

In The Last Decade

Peng Yan

12 papers receiving 1.6k 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.

Efficient and self-adaptive in-situ learning in multilayer memristor neural networks

2018 711 citations Can Li, Daniel Belkin et al. Nature Communications profile →
Reinforcement learning with analogue memristor arrays

2019 289 citations Zhongrui Wang, Can Li et al. Nature Electronics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peng Yan United States	10	1.5k	636	294	286	155	13	1.6k
Zhong Sun China	18	1.2k 0.8×	404 0.6×	158 0.5×	242 0.8×	166 1.1×	48	1.4k
Zhengwu Liu China	16	860 0.6×	284 0.4×	244 0.8×	350 1.2×	68 0.4×	45	1.1k
Kyeong‐Sik Min South Korea	20	1.2k 0.8×	405 0.6×	124 0.4×	91 0.3×	80 0.5×	132	1.3k
Zheng Zhou China	18	664 0.5×	259 0.4×	88 0.3×	134 0.5×	65 0.4×	56	883
Christian Mayr Germany	21	1.3k 0.9×	642 1.0×	528 1.8×	242 0.8×	99 0.6×	131	1.5k
Peng Huang China	29	3.1k 2.1×	918 1.4×	234 0.8×	329 1.2×	415 2.7×	166	3.2k
Maryam Parsa United States	11	761 0.5×	186 0.3×	206 0.7×	365 1.3×	44 0.3×	42	971
Ligang Gao United States	16	1.1k 0.7×	420 0.7×	133 0.5×	144 0.5×	162 1.0×	33	1.1k
Udayan Ganguly India	22	1.8k 1.2×	331 0.5×	201 0.7×	202 0.7×	140 0.9×	191	1.9k
Elia Ambrosi Italy	17	1.3k 0.9×	547 0.9×	209 0.7×	164 0.6×	209 1.3×	34	1.4k

Countries citing papers authored by Peng Yan

Since Specialization

Citations

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

Fields of papers citing papers by Peng Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Yan. A scholar is included among the top collaborators of Peng Yan 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 Peng Yan. Peng Yan 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:

13 of 13 papers shown

1.

Wang, Xinguo, Peng Yan, Lei Qian, et al.. (2024). A 1024-Channel Simultaneous Electrophysiological and Electrochemical Neural Recording System With In-Pixel Digitization and Crosstalk Compensation. IEEE Transactions on Biomedical Circuits and Systems. 19(3). 549–561. 1 indexed citations

2.

Xue, Qi, Peng Yan, Liang Cao, et al.. (2022). Ultralow Set Voltage and Enhanced Switching Reliability for Resistive Random-Access Memory Enabled by an Electrodeposited Nanocone Array. ACS Applied Materials & Interfaces. 14(22). 25710–25721. 19 indexed citations

3.

Li, Yunning, Wenhao Song, Zhongrui Wang, et al.. (2022). Memristive Field‐Programmable Analog Arrays for Analog Computing. Advanced Materials. 35(37). e2206648–e2206648. 22 indexed citations

4.

Wang, Yang, et al.. (2020). Design and verification of novel silicon-controlled-rectifier-memristor based on standard CMOS process. Semiconductor Science and Technology. 36(1). 15003–15003.

5.

Yoon, Jung Ho, Jiaming Zhang, Peng Lin, et al.. (2020). A Low‐Current and Analog Memristor with Ru as Mobile Species. Advanced Materials. 32(9). e1904599–e1904599. 80 indexed citations

6.

Wang, Zhongrui, Can Li, Peng Lin, et al.. (2019). In situ training of feed-forward and recurrent convolutional memristor networks. Nature Machine Intelligence. 1(9). 434–442. 239 indexed citations

7.

Wang, Zhongrui, Can Li, Wenhao Song, et al.. (2019). Reinforcement learning with analogue memristor arrays. Nature Electronics. 2(3). 115–124. 289 indexed citations breakdown →

8.

Li, Can, Daniel Belkin, Yunning Li, et al.. (2018). Efficient and self-adaptive in-situ learning in multilayer memristor neural networks. Nature Communications. 9(1). 711 indexed citations breakdown →

9.

Li, Can, Daniel Belkin, Yunning Li, et al.. (2018). In-Memory Computing with Memristor Arrays. 1–4. 41 indexed citations

10.

Jiang, Hao, Can Li, Rui Zhang, et al.. (2018). A provable key destruction scheme based on memristive crossbar arrays. Nature Electronics. 1(10). 548–554. 71 indexed citations

11.

Lian, Xiaojuan, Miao Wang, Mingyi Rao, et al.. (2017). Characteristics and transport mechanisms of triple switching regimes of TaOx memristor. Applied Physics Letters. 110(17). 35 indexed citations

12.

Lian, Xiaojuan, Miao Wang, Peng Yan, J. Joshua Yang, & Feng Miao. (2017). Reset switching statistics of TaOx-based Memristor. Journal of Electroceramics. 39(1-4). 132–136. 8 indexed citations

13.

Shan, Zhigang & Peng Yan. (2010). Management of rock bursts during excavation of the deep tunnels in Jinping II Hydropower Station. Bulletin of Engineering Geology and the Environment. 69(3). 353–363. 70 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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