Haixia Gao
- Electrical and Electronic Engineering top 10%
- Materials Chemistry
- Cellular and Molecular Neuroscience top 10%
- Polymers and Plastics top 10%
- Biomedical Engineering
- Co-authors
- Xiaohua MaMei YangHong WangJing SunYue HaoFang SongYintang YangBingjie Dang
- Topics
- Advanced Memory and Neural Computing (30 papers)Ferroelectric and Negative Capacitance Devices (25 papers)Neuroscience and Neural Engineering (11 papers)
- Cited by
- Electrical and Electronic EngineeringPolymers and PlasticsCellular and Molecular Neuroscience
- Partner nations
- ChinaUnited KingdomCzechia
In The Last Decade
Haixia Gao
57 papers receiving 615 citations
Peers
Comparison fields: 5 of 73
- Electrical and Electronic Engineering 495
- Materials Chemistry 174
- Cellular and Molecular Neuroscience 147
- Polymers and Plastics 118
- Biomedical Engineering 90
Countries citing papers authored by Haixia Gao
This map shows the geographic impact of Haixia Gao'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 Haixia Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haixia Gao more than expected).
Fields of papers citing papers by Haixia Gao
This network shows the impact of papers produced by Haixia Gao. 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 Haixia Gao. The network helps show where Haixia Gao may publish in the future.
Co-authorship network of co-authors of Haixia Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Haixia Gao. A scholar is included among the top collaborators of Haixia Gao 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 Haixia Gao. Haixia Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 20 | |
| 12 | 24 | |
| 13 | 4 | |
| 14 | 35 | |
| 15 | 43 | |
| 16 | 23 | |
| 17 | An Experimental Study of the Magnetic Field on Metal Corrosion | 1 |
| 18 | 1 | |
| 19 | Design of UART Based on Verilog HDL | 1 |
| 20 | Circuit Design of FPGA Routing Switches | 5 |
About Haixia Gao
Haixia Gao is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Cellular and Molecular Neuroscience, having authored 64 papers that have together received 631 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (30 papers), Ferroelectric and Negative Capacitance Devices (25 papers) and Neuroscience and Neural Engineering (11 papers). The work is most often cited by research in Electrical and Electronic Engineering (495 citations), Polymers and Plastics (118 citations) and Cellular and Molecular Neuroscience (147 citations). Haixia Gao has collaborated with scholars based in China, United Kingdom and Czechia. Frequent co-authors include Xiaohua Ma, Mei Yang, Hong Wang, Jing Sun, Yue Hao, Fang Song, Yintang Yang, Bingjie Dang, Chuanbo Cong and Qian Wang. Their work appears in journals such as Applied Physics Letters, Acta Materialia and Small.
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.