Yang Ming Fu

1.1k total citations · 1 hit paper
22 papers, 923 citations indexed

About

Yang Ming Fu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Polymers and Plastics. According to data from OpenAlex, Yang Ming Fu has authored 22 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 11 papers in Cellular and Molecular Neuroscience and 5 papers in Polymers and Plastics. Recurrent topics in Yang Ming Fu's work include Advanced Memory and Neural Computing (14 papers), Neuroscience and Neural Engineering (10 papers) and Graphene research and applications (4 papers). Yang Ming Fu is often cited by papers focused on Advanced Memory and Neural Computing (14 papers), Neuroscience and Neural Engineering (10 papers) and Graphene research and applications (4 papers). Yang Ming Fu collaborates with scholars based in China, United Kingdom and Singapore. Yang Ming Fu's co-authors include Li Qiang Zhu, Qing Wan, Liqiang Zhu, Changjin Wan, Naoji Matsuhisa, Xiaodong Chen, Ming Wang, Shaowu Pan, Liang Pan and Hui Yang and has published in prestigious journals such as Advanced Materials, Nature Communications and Applied Physics Letters.

In The Last Decade

Yang Ming Fu

20 papers receiving 909 citations

Hit Papers

An Artificial Sensory Neuron with Tactile Perceptual Lear... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Ming Fu China 15 752 369 263 209 183 22 923
Sanghyeon Choi South Korea 15 1.0k 1.4× 438 1.2× 145 0.6× 272 1.3× 138 0.8× 28 1.2k
Sung Woon Cho South Korea 15 907 1.2× 317 0.9× 134 0.5× 207 1.0× 61 0.3× 44 1.0k
Hwan Young Choi South Korea 8 375 0.5× 187 0.5× 282 1.1× 278 1.3× 61 0.3× 14 652
Yifan Zhou Finland 7 306 0.4× 125 0.3× 167 0.6× 63 0.3× 121 0.7× 8 501
Fuyou Liao China 16 902 1.2× 224 0.6× 200 0.8× 127 0.6× 71 0.4× 26 1.1k
Shuaipeng Ge China 16 707 0.9× 108 0.3× 185 0.7× 290 1.4× 71 0.4× 26 964
Moon Hyung Jang United States 18 1.2k 1.7× 387 1.0× 112 0.4× 234 1.1× 88 0.5× 43 1.4k
Heyi Huang China 10 740 1.0× 308 0.8× 66 0.3× 215 1.0× 81 0.4× 18 866
Hyojin Seung South Korea 11 590 0.8× 161 0.4× 295 1.1× 138 0.7× 67 0.4× 14 879
Meehyun Lim South Korea 15 681 0.9× 236 0.6× 345 1.3× 197 0.9× 121 0.7× 23 920

Countries citing papers authored by Yang Ming Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yang Ming Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang Ming Fu. 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 Yang Ming Fu. The network helps show where Yang Ming Fu may publish in the future.

Co-authorship network of co-authors of Yang Ming Fu

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

All Works

20 of 20 papers shown
1.
Li, Yi, Yang Ming Fu, Jincheng Tong, et al.. (2025). Mechanism of the electrochemical hydrogenation of graphene. Nature Communications. 16(1). 10741–10741.
2.
Feng, Mengjie, Qing Dai, Ciaran Mullan, et al.. (2025). Rare‐Earth Ion Intercalation in Graphene via Thermal and Electrostatic Control. Advanced Materials. 37(38). e2502417–e2502417.
3.
Li, Hu, et al.. (2023). A graphene-nanoribbon-based thermoelectric generator. Carbon. 210. 118053–118053. 17 indexed citations
4.
Huang, Shiqi, Junhao Cai, Jessica Y. Tong, et al.. (2023). Gate-controlled suppression of light-driven proton transport through graphene electrodes. Nature Communications. 14(1). 6932–6932. 4 indexed citations
5.
Fu, Yang Ming, et al.. (2022). Sputtered Electrolyte-Gated Transistor with Temperature-Modulated Synaptic Plasticity Behaviors. ACS Applied Electronic Materials. 4(6). 2933–2942. 14 indexed citations
6.
Fu, Yang Ming, et al.. (2022). Synaptic transistors with a memory time tunability over seven orders of magnitude. Applied Physics Letters. 120(25). 7 indexed citations
7.
Fu, Yang Ming, et al.. (2022). Sputtered Electrolyte‐Gated Transistor with Modulated Metaplasticity Behaviors. Advanced Electronic Materials. 8(10). 17 indexed citations
8.
Li, Hu, Jiawei Zhang, Yang Ming Fu, et al.. (2021). Photoluminescent Semiconducting Graphene Nanoribbons via Longitudinally Unzipping Single-Walled Carbon Nanotubes. ACS Applied Materials & Interfaces. 13(44). 52892–52900. 19 indexed citations
9.
Fu, Yang Ming, et al.. (2021). Sputtered Oxide Thin-Film Transistors With Tunable Synaptic Spiking Behavior at 1 V. IEEE Transactions on Electron Devices. 68(6). 2736–2741. 16 indexed citations
10.
Yu, Fei, Li Qiang Zhu, Wan Tian Gao, et al.. (2018). Chitosan-Based Polysaccharide-Gated Flexible Indium Tin Oxide Synaptic Transistor with Learning Abilities. ACS Applied Materials & Interfaces. 10(19). 16881–16886. 138 indexed citations
11.
Fu, Yang Ming, Chang Wan, Li Qiang Zhu, et al.. (2018). Hodgkin–Huxley Artificial Synaptic Membrane Based on Protonic/Electronic Hybrid Neuromorphic Transistors. Advanced Biosystems. 2(2). 40 indexed citations
12.
Fu, Yang Ming, Chang Wan, Fei Yu, et al.. (2018). Electrolyte Gated Oxide Pseudodiode for Inhibitory Synapse Applications. Advanced Electronic Materials. 4(11). 20 indexed citations
13.
Wan, Changjin, Geng Chen, Yang Ming Fu, et al.. (2018). An Artificial Sensory Neuron with Tactile Perceptual Learning. Advanced Materials. 30(30). e1801291–e1801291. 358 indexed citations breakdown →
14.
Wen, Juan, Li Qiang Zhu, Yang Ming Fu, et al.. (2017). Activity Dependent Synaptic Plasticity Mimicked on Indium–Tin–Oxide Electric-Double-Layer Transistor. ACS Applied Materials & Interfaces. 9(42). 37064–37069. 54 indexed citations
15.
Yu, Jing, Yang Ming Fu, Liqiang Zhu, et al.. (2017). Heterojunction solar cells with asymmetrically carrier-selective contact structure of molybdenum-oxide/silicon/magnesium-oxide. Solar Energy. 159. 704–709. 74 indexed citations
16.
Guo, Li, Juan Wen, Li Qiang Zhu, Yang Ming Fu, & Hui Xiao. (2017). Humidity-Dependent Synaptic Plasticity for Proton Gated Oxide Synaptic Transistor. IEEE Electron Device Letters. 38(9). 1248–1251. 28 indexed citations
17.
Fu, Yang Ming, Li Qiang Zhu, Juan Wen, Hui Xiao, & Rui Liu. (2017). Mixed protonic and electronic conductors hybrid oxide synaptic transistors. Journal of Applied Physics. 121(20). 30 indexed citations
18.
Hao, Tingting, Guoe Cheng, Hanzhong Ke, Yujie Zhu, & Yang Ming Fu. (2014). Effects of fluorine ions on the formation and photocatalytic activities of SnO2 nanoparticles with small sizes. RSC Advances. 4(41). 21548–21552. 9 indexed citations
19.
Ni, X., Ümit Özgür, Yang Ming Fu, et al.. (2006). Defect reduction in (112¯) a-plane GaN by two-stage epitaxial lateral overgrowth. Applied Physics Letters. 89(26). 47 indexed citations
20.
Sun, Yuanping, Xiaoming Shen, Zhaoqing Feng, et al.. (2003). Design of high brightness cubic-GaN LEDs grown on GaAs substrate. Journal of the Korean Physical Society. 42. 1 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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