Yang Ming Fu

1.1k citations
22 papers · 923 · 1 hit paper · h-index 15

Impact in

Papers in

Yang Ming Fu

20 papers receiving 909 citations

Yang Ming Fu's Hit Papers

An Artificial Sensory Neuron with Tactile Perceptual Learning 2018 · 358 citations
3580+2+5Years since publication100200300

Peers

Yang Ming Fu
Comparison fields: 5 of 43
  • Cellular and Molecular Neuroscience 369
  • Polymers and Plastics 209
  • Electrical and Electronic Engineering 752
  • Cognitive Neuroscience 183
  • Biomedical Engineering 263
Replace Jianyu Du with:
Jianyu Du China
Shuaipeng Ge China
Heyi Huang China
Gyeong‐Tak Go South Korea
Solomon Mikael United States
Sung Woon Cho South Korea
Dae‐Gyo Seo South Korea
Hyojin Seung South Korea
Yifan Zhou Finland
Fuyou Liao China
Yang Ming Fu relative to Jianyu Du China Jianyu Du's profile →
Citations per field
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Jianyu Du · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Yang Ming Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yang Ming Fu Line = papers co-authored together Yang Ming Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Artificial Sensory Neuron with Tactile Perceptual Learning
Hit paper breakdown →
2018358
2 2018138
3 201774
4 201754
5 200647
6 201840
7 201730
8 201829
9 201728
10 201820
11 202119
12 202317
13 202217
14 202116
15 202214
16 20149
17 20227
18 20234
19
Design of high brightness cubic-GaN LEDs grown on GaAs substrate
20031
20 20181

About Yang Ming Fu

Yang Ming Fu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Polymers and Plastics, Materials Chemistry and Cognitive Neuroscience, having authored 22 papers that have together received 923 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (14 papers), Neuroscience and Neural Engineering (10 papers), Graphene research and applications (4 papers), Gas Sensing Nanomaterials and Sensors (3 papers), Transition Metal Oxide Nanomaterials (3 papers), Photoreceptor and optogenetics research (3 papers), Neural dynamics and brain function (3 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (369 citations), Polymers and Plastics (209 citations), Electrical and Electronic Engineering (752 citations), Cognitive Neuroscience (183 citations) and Biomedical Engineering (263 citations). Yang Ming Fu has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Li Qiang Zhu, Qing Wan, Liqiang Zhu, Changjin Wan, Shaowu Pan, Liang Pan, Geng Chen, Xiaodong Chen, Ming Wang and Hui Yang. Their work appears in journals such as ACS Applied Materials & Interfaces, Applied Physics Letters, Nature Communications, Journal of Applied Physics and Advanced Electronic Materials.

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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