Qiangfei Xia
Impact in
- Cellular and Molecular Neuroscience top 0.1%
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Electrical and Electronic Engineering top 0.05%
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
Papers in
-
- Neuroscience and Neural Engineering 50
- Photoreceptor and optogenetics research 14
-
- Advanced Memory and Neural Computing 94
- Ferroelectric and Negative Capacitance Devices 57
- CCD and CMOS Imaging Sensors 10
- Journals
- Nature Communications (9 papers)Applied Physics Letters (9 papers)Nanotechnology (9 papers)Nano Letters (8 papers)Advanced Materials (7 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Qiangfei Xia
133 papers receiving 16.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cellular and Molecular Neuroscience 6.2k
- Electrical and Electronic Engineering 14.8k
- Polymers and Plastics 2.1k
- Cognitive Neuroscience 2.4k
- Artificial Intelligence 2.1k
Countries citing papers authored by Qiangfei Xia
This map shows the geographic impact of Qiangfei Xia'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 Qiangfei Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiangfei Xia more than expected).
Fields of papers citing papers by Qiangfei Xia
This network shows the impact of papers produced by Qiangfei Xia. 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 Qiangfei Xia. The network helps show where Qiangfei Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Qiangfei Xia, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | Memristor-based hardware accelerators for artificial intelligence Hit paper breakdown → | 2024 | 59 |
| 5 | 2024 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 7 | |
| 8 | An artificial spiking afferent nerve based on Mott memristors for neurorobotics Hit paper breakdown → | 2020 | 321 |
| 9 | 2019 | 66 | |
| 10 | Memristor crossbar arrays with 6-nm half-pitch and 2-nm critical dimension Hit paper breakdown → | 2018 | 429 |
| 11 | 2017 | 25 | |
| 12 | 2017 | 339 | |
| 13 | 2017 | 190 | |
| 14 | 2017 | 270 | |
| 15 | Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing Hit paper breakdown → | 2016 | 1899 |
| 16 | 2016 | 219 | |
| 17 | 2013 | 11 | |
| 18 | 2013 | 14 | |
| 19 | 2011 | 25 | |
| 20 | 2010 | 70 |
About Qiangfei Xia
Qiangfei Xia is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 137 papers that have together received 16.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (94 papers), Ferroelectric and Negative Capacitance Devices (57 papers), Neuroscience and Neural Engineering (50 papers), Nanofabrication and Lithography Techniques (18 papers), Neural dynamics and brain function (18 papers), Photoreceptor and optogenetics research (14 papers), MXene and MAX Phase Materials (12 papers) and CCD and CMOS Imaging Sensors (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.2k citations), Electrical and Electronic Engineering (14.8k citations), Polymers and Plastics (2.1k citations), Cognitive Neuroscience (2.4k citations) and Artificial Intelligence (2.1k citations). Qiangfei Xia has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include J. Joshua Yang, Zhongrui Wang, Hao Jiang, Peng Lin, R. Stanley Williams, Can Li, Qing Wu, Mark Barnell, Rivu Midya and John Paul Strachan. Their work appears in journals such as Nature Communications, Applied Physics Letters, Nanotechnology, Nano Letters and Advanced 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.