Ming Wang
Impact in
- Polymers and Plastics top 0.5%
- Conducting polymers and applications
-
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
-
- Advanced Memory and Neural Computing 71
- Ferroelectric and Negative Capacitance Devices 35
-
- Advanced Sensor and Energy Harvesting Materials 42
- Co-authors
- Xiaodong Chen (33 shared papers)Changjin Wan (14 shared papers)Pingqiang Cai (13 shared papers)Liang Pan (13 shared papers)Ke He (13 shared papers)Shaowu Pan (5 shared papers)Yifei Luo (8 shared papers)Qi Liu (34 shared papers)
- Journals
- Advanced Materials (21 papers)IEEE Electron Device Letters (11 papers)Nature Communications (11 papers)ACS Nano (4 papers)Advanced Functional Materials (4 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Ming Wang
166 papers receiving 7.6k citations
Ming Wang's Hit Papers
Peers
Comparison fields: 5 of 152
- Polymers and Plastics 1.8k
- Cellular and Molecular Neuroscience 1.6k
- Cognitive Neuroscience 1.5k
- Electrical and Electronic Engineering 4.2k
- Biomedical Engineering 3.1k
Countries citing papers authored by Ming Wang
This map shows the geographic impact of Ming Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wang more than expected).
Fields of papers citing papers by Ming Wang
This network shows the impact of papers produced by Ming Wang. 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 Wang. The network helps show where Ming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors Hit paper breakdown → | 2020 | 465 |
| 2 | Artificial Skin Perception Hit paper breakdown → | 2020 | 386 |
| 3 | An Artificial Sensory Neuron with Tactile Perceptual Learning Hit paper breakdown → | 2018 | 362 |
| 4 | Artificial Sensory Memory Hit paper breakdown → | 2019 | 291 |
| 5 | 2019 | 280 | |
| 6 | An artificial sensory neuron with visual-haptic fusion Hit paper breakdown → | 2020 | 261 |
| 7 | 2018 | 236 | |
| 8 | 2014 | 231 | |
| 9 | 2020 | 172 | |
| 10 | 2019 | 156 | |
| 11 | 2020 | 139 | |
| 12 | 2022 | 136 | |
| 13 | 2021 | 133 | |
| 14 | 2021 | 125 | |
| 15 | 2018 | 122 | |
| 16 | 2019 | 116 | |
| 17 | 2022 | 109 | |
| 18 | 2022 | 107 | |
| 19 | 2015 | 106 | |
| 20 | 2020 | 105 |
About Ming Wang
Ming Wang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience, Polymers and Plastics and Cognitive Neuroscience, having authored 172 papers that have together received 7.7k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (71 papers), Advanced Sensor and Energy Harvesting Materials (42 papers), Ferroelectric and Negative Capacitance Devices (35 papers), Neuroscience and Neural Engineering (27 papers), Conducting polymers and applications (24 papers), Tactile and Sensory Interactions (16 papers), Neural dynamics and brain function (12 papers) and Photoreceptor and optogenetics research (11 papers). The work is most often cited by research in Polymers and Plastics (1.8k citations), Cellular and Molecular Neuroscience (1.6k citations), Cognitive Neuroscience (1.5k citations), Electrical and Electronic Engineering (4.2k citations) and Biomedical Engineering (3.1k citations). Ming Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xiaodong Chen, Changjin Wan, Pingqiang Cai, Liang Pan, Ke He, Shaowu Pan, Yifei Luo, Qi Liu, Naoji Matsuhisa and Geng Chen. Their work appears in journals such as Advanced Materials, IEEE Electron Device Letters, Nature Communications, ACS Nano and Advanced Functional 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.