Fei Hui
Impact in
- Polymers and Plastics top 2%
-
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Perovskite Materials and Applications
- Semiconductor materials and devices
Papers in
-
- Advanced Memory and Neural Computing 35
- Ferroelectric and Negative Capacitance Devices 26
- Semiconductor materials and devices 12
-
- Graphene research and applications 18
- 2D Materials and Applications 10
- MXene and MAX Phase Materials 7
- Co-authors
- Mario Lanza (61 shared papers)Yuanyuan Shi (43 shared papers)Bin Yuan (12 shared papers)Xianhu Liang (11 shared papers)Chao Wen (12 shared papers)Yanfeng Ji (15 shared papers)Chengbin Pan (10 shared papers)Shaochuan Chen (10 shared papers)
- Journals
- Advanced Functional Materials (9 papers)Advanced Electronic Materials (6 papers)Advanced Materials (6 papers)Nature Electronics (3 papers)Nano Research (3 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Fei Hui
74 papers receiving 3.7k citations
Fei Hui's Hit Papers
Peers
Comparison fields: 5 of 86
- Polymers and Plastics 702
- Electrical and Electronic Engineering 2.8k
- Cellular and Molecular Neuroscience 650
- Materials Chemistry 1.6k
- Biomedical Engineering 405
Countries citing papers authored by Fei Hui
This map shows the geographic impact of Fei Hui'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 Fei Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Hui more than expected).
Fields of papers citing papers by Fei Hui
This network shows the impact of papers produced by Fei Hui. 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 Fei Hui. The network helps show where Fei Hui may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Hui, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Electronic synapses made of layered two-dimensional materials Hit paper breakdown → | 2018 | 563 |
| 2 | Wafer-scale integration of two-dimensional materials in high-density memristive crossbar arrays for artificial neural networks Hit paper breakdown → | 2020 | 367 |
| 3 | 2017 | 277 | |
| 4 | 2016 | 235 | |
| 5 | 2019 | 196 | |
| 6 | 2017 | 195 | |
| 7 | 2019 | 160 | |
| 8 | 2016 | 113 | |
| 9 | 2021 | 106 | |
| 10 | 2016 | 100 | |
| 11 | 2019 | 90 | |
| 12 | 2015 | 88 | |
| 13 | 2019 | 78 | |
| 14 | 2017 | 72 | |
| 15 | 2020 | 65 | |
| 16 | 2021 | 64 | |
| 17 | 2017 | 55 | |
| 18 | 2017 | 51 | |
| 19 | 2018 | 50 | |
| 20 | 2017 | 46 |
About Fei Hui
Fei Hui is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 76 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (35 papers), Ferroelectric and Negative Capacitance Devices (26 papers), Graphene research and applications (18 papers), Semiconductor materials and devices (12 papers), 2D Materials and Applications (10 papers), Force Microscopy Techniques and Applications (8 papers), Neuroscience and Neural Engineering (7 papers) and MXene and MAX Phase Materials (7 papers). The work is most often cited by research in Polymers and Plastics (702 citations), Electrical and Electronic Engineering (2.8k citations), Cellular and Molecular Neuroscience (650 citations), Materials Chemistry (1.6k citations) and Biomedical Engineering (405 citations). Fei Hui has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Mario Lanza, Yuanyuan Shi, Bin Yuan, Xianhu Liang, Chao Wen, Yanfeng Ji, Chengbin Pan, Shaochuan Chen, Victoria Chen and Eric Pop. Their work appears in journals such as Advanced Functional Materials, Advanced Electronic Materials, Advanced Materials, Nature Electronics and Nano Research.
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.