Nian Duan

410 total citations
11 papers, 350 citations indexed

About

Nian Duan is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Nian Duan has authored 11 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Nian Duan's work include Advanced Memory and Neural Computing (9 papers), Neuroscience and Neural Engineering (5 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). Nian Duan is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Neuroscience and Neural Engineering (5 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). Nian Duan collaborates with scholars based in China and Taiwan. Nian Duan's co-authors include Yi Li, Ting‐Chang Chang, Xiangshui Miao, Yaxiong Zhou, Jia Chen, Yuhui He, Kan‐Hao Xue, Xiangshui Miao, Ke Lu and Rui Kuang and has published in prestigious journals such as ACS Applied Materials & Interfaces, Nanoscale and IEEE Transactions on Electron Devices.

In The Last Decade

Nian Duan

11 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nian Duan China 9 331 151 57 54 47 11 350
Hakcheon Jeong South Korea 7 374 1.1× 138 0.9× 54 0.9× 94 1.7× 70 1.5× 14 392
Moritz von Witzleben Germany 10 437 1.3× 192 1.3× 70 1.2× 37 0.7× 80 1.7× 13 470
Maria Trapatseli United Kingdom 8 370 1.1× 176 1.2× 87 1.5× 20 0.4× 52 1.1× 10 397
Byoung-Hun Lee South Korea 7 345 1.0× 168 1.1× 57 1.0× 26 0.5× 56 1.2× 12 352
Dmitry Lapkin Russia 11 268 0.8× 151 1.0× 116 2.0× 23 0.4× 52 1.1× 24 321
Yoocharn Jeon United States 8 336 1.0× 82 0.5× 71 1.2× 27 0.5× 47 1.0× 13 374
Yiğit Demirağ Switzerland 7 306 0.9× 83 0.5× 78 1.4× 66 1.2× 64 1.4× 10 328
Manu V Nair Switzerland 6 355 1.1× 122 0.8× 83 1.5× 79 1.5× 101 2.1× 8 366
Felix Cüppers Germany 9 495 1.5× 227 1.5× 70 1.2× 39 0.7× 77 1.6× 17 521
N. Ghenzi Argentina 14 367 1.1× 130 0.9× 90 1.6× 44 0.8× 72 1.5× 35 382

Countries citing papers authored by Nian Duan

Since Specialization
Citations

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

Fields of papers citing papers by Nian Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nian Duan

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

All Works

11 of 11 papers shown
1.
Chen, Jia, Yi Li, Rui Kuang, et al.. (2020). High-Precision Symmetric Weight Update of Memristor by Gate Voltage Ramping Method for Convolutional Neural Network Accelerator. IEEE Electron Device Letters. 41(3). 353–356. 39 indexed citations
2.
Chen, Jia, Rui Kuang, Yi Li, et al.. (2020). Strategies to Improve the Accuracy of Memristor-Based Convolutional Neural Networks. IEEE Transactions on Electron Devices. 67(3). 895–901. 57 indexed citations
3.
Duan, Nian, Yi Li, Jia Chen, et al.. (2019). An electro-photo-sensitive synaptic transistor for edge neuromorphic visual systems. Nanoscale. 11(38). 17590–17599. 92 indexed citations
4.
Cheng, Long, Yi Li, Ke Lu, et al.. (2018). Reconfigurable logic in nanosecond Cu/GeTe/TiN filamentary memristors for energy-efficient in-memory computing. Nanotechnology. 29(38). 385203–385203. 21 indexed citations
5.
Duan, Nian, et al.. (2018). Gate Modulation of Excitatory and Inhibitory Synaptic Plasticity in a Low-Temperature Polysilicon Thin Film Synaptic Transistor. ACS Applied Electronic Materials. 1(1). 132–140. 24 indexed citations
6.
Lu, Ke, Yi Li, Jia Chen, et al.. (2018). Diverse spike-timing-dependent plasticity based on multilevel HfO x memristor for neuromorphic computing. Applied Physics A. 124(6). 26 indexed citations
7.
Zhou, Yaxiong, Yi Li, Nian Duan, et al.. (2018). Boolean and Sequential Logic in a One‐Memristor‐One‐Resistor (1M1R) Structure for In‐Memory Computing. Advanced Electronic Materials. 4(9). 23 indexed citations
8.
9.
Li, Yi, Yaxiong Zhou, Lei Xu, et al.. (2016). Realization of Functional Complete Stateful Boolean Logic in Memristive Crossbar. ACS Applied Materials & Interfaces. 8(50). 34559–34567. 54 indexed citations
10.
Yang, Zhi, Yue Zhang, Yu Song, et al.. (2015). Magnetic properties for the single-domain CoFe2O4 nanoparticles synthesized by the hydrothermal method. Journal of Wuhan University of Technology-Mater Sci Ed. 30(6). 1140–1146. 4 indexed citations
11.
Song, Yu, Nian Duan, Jiawei Wang, et al.. (2014). Composition and size dependence of magnetic properties of FePt/Fe exchange-spring films. Journal of Magnetism and Magnetic Materials. 371. 100–105. 8 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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