Qing Luo
-
- Ferroelectric and Negative Capacitance Devices 94
- Advanced Memory and Neural Computing 86
- Semiconductor materials and devices 67
-
- Neuroscience and Neural Engineering 12
- Photoreceptor and optogenetics research 7
- Polymers and Plastics top 5%
- Materials Chemistry top 5%
- MXene and MAX Phase Materials 20
- Ferroelectric and Piezoelectric Materials 8
- Cognitive Neuroscience top 5%
-
- Nuclear physics research studies 7
- Cited by
- Electrical and Electronic EngineeringCellular and Molecular NeurosciencePolymers and Plastics
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Qing Luo
140 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Electrical and Electronic Engineering 2.7k
- Cellular and Molecular Neuroscience 624
- Polymers and Plastics 343
- Materials Chemistry 927
- Cognitive Neuroscience 260
Countries citing papers authored by Qing Luo
This map shows the geographic impact of Qing Luo'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 Qing Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Luo more than expected).
Fields of papers citing papers by Qing Luo
This network shows the impact of papers produced by Qing Luo. 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 Qing Luo. The network helps show where Qing Luo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qing Luo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 13 | |
| 3 | 2024 | 37 | |
| 4 | 2023 | 38 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 96 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 4 | |
| 11 | An artificial spiking afferent nerve based on Mott memristors for neuroroboticsbreakdown → | 2020 | 321 |
| 12 | 2020 | 18 | |
| 13 | 2019 | 117 | |
| 14 | 2019 | 28 | |
| 15 | 2019 | 41 | |
| 16 | 2018 | 24 | |
| 17 | 2018 | 8 | |
| 18 | 2018 | 9 | |
| 19 | 2018 | 31 | |
| 20 | 2017 | 13 |
About Qing Luo
Qing Luo is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Cellular and Molecular Neuroscience, having authored 142 papers that have together received 3.2k indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (94 papers), Advanced Memory and Neural Computing (86 papers), Semiconductor materials and devices (67 papers), MXene and MAX Phase Materials (20 papers), Neuroscience and Neural Engineering (12 papers), Ferroelectric and Piezoelectric Materials (8 papers), Photoreceptor and optogenetics research (7 papers) and Nuclear physics research studies (7 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.7k citations), Cellular and Molecular Neuroscience (624 citations) and Polymers and Plastics (343 citations). Qing Luo has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qi Liu, Ming Liu, Hangbing Lv, Xiaoxin Xu, Tiancheng Gong, Peng Yuan, Otto J. Gregory, Xumeng Zhang, Pengfei Jiang and Yuan Wang. Their work appears in journals such as Science, Advanced Materials and Nature Communications.
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.