Ming Liu

22.8k total citations · 9 hit papers
486 papers, 18.1k citations indexed

About

Ming Liu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ming Liu has authored 486 papers receiving a total of 18.1k indexed citations (citations by other indexed papers that have themselves been cited), including 385 papers in Electrical and Electronic Engineering, 121 papers in Materials Chemistry and 65 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ming Liu's work include Advanced Memory and Neural Computing (255 papers), Ferroelectric and Negative Capacitance Devices (190 papers) and Semiconductor materials and devices (121 papers). Ming Liu is often cited by papers focused on Advanced Memory and Neural Computing (255 papers), Ferroelectric and Negative Capacitance Devices (190 papers) and Semiconductor materials and devices (121 papers). Ming Liu collaborates with scholars based in China, United States and Singapore. Ming Liu's co-authors include Qi Liu, Shibing Long, Hangbing Lv, Shibing Long, Wei Wang, Weihua Guan, Ling Li, Nianduan Lu, Xumeng Zhang and Yingtao Li and has published in prestigious journals such as Nature, Science and Journal of the American Chemical Society.

In The Last Decade

Ming Liu

463 papers receiving 17.6k citations

Hit Papers

Fully Room-Temperature-Fabricated Nonvolatile Resistive M... 2009 2026 2014 2020 2009 2020 2012 2022 2010 250 500 750

Peers

Ming Liu
Comparison fields: 5 of 176
  • Electrical and Electronic Engineering 14.2k
  • Materials Chemistry 6.3k
  • Cellular and Molecular Neuroscience 3.8k
  • Polymers and Plastics 3.3k
  • Electronic, Optical and Magnetic Materials 1.8k
Replace Qing Wan with:
Qing Wan China
Qi Liu China
Su‐Ting Han China
Jia Huang China
Run‐Wei Li China
Hong Wang China
Vellaisamy A. L. Roy Hong Kong
Peng Zhou China
Yi Shi China
Gang Liu China
Qing Wan China View profile →
Citations per field, relative to Ming Liu
Ming Liu · 1×
Citations per year, relative to Ming Liu
Ming Liu · 1×

Countries citing papers authored by Ming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Liu. A scholar is included among the top collaborators of Ming Liu 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 Ming Liu. Ming Liu 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
# Work Indexed citations
1 1
2 2
3 2
4 2
5 2
6 4
7 9
8 12
9 38
10 13
11 131
12 1
13 16
14 12
15 1
16
An artificial spiking afferent nerve based on Mott memristors for neurorobotics breakdown →
321
17 58
18 24
19 7
20 180

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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