Fang Nie
- Electrical and Electronic Engineering
- Materials Chemistry
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Electronic, Optical and Magnetic Materials
- Co-authors
- Jie WangHongyuan FangLimei ZhengLe ZhaoShishen YanWeiming LüBin HeShuting Yang
- Topics
- Advanced Memory and Neural Computing (7 papers)Ferroelectric and Negative Capacitance Devices (4 papers)Ferroelectric and Piezoelectric Materials (3 papers)
- Cited by
- Electrical and Electronic EngineeringCellular and Molecular NeurosciencePolymers and Plastics
- Journals
- Advanced MaterialsSHILAP Revista de lepidopterologíaApplied Physics Letters
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Fang Nie
8 papers receiving 323 citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Electrical and Electronic Engineering 236
- Materials Chemistry 98
- Cellular and Molecular Neuroscience 52
- Artificial Intelligence 51
- Electronic, Optical and Magnetic Materials 44
Countries citing papers authored by Fang Nie
This map shows the geographic impact of Fang Nie'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 Fang Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Nie more than expected).
Fields of papers citing papers by Fang Nie
This network shows the impact of papers produced by Fang Nie. 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 Fang Nie. The network helps show where Fang Nie may publish in the future.
Co-authorship network of co-authors of Fang Nie
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Nie. A scholar is included among the top collaborators of Fang Nie 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 Fang Nie. Fang Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | An Adaptive Solid‐State Synapse with Bi‐Directional Relaxation for Multimodal Recognition and Spatio‐Temporal Learningbreakdown → | 26 |
| 3 | 45 | |
| 4 | 13 | |
| 5 | Multimodal In‐Sensor Computing Implemented by Easily‐Fabricated Oxide‐Heterojunction Optoelectronic Synapsesbreakdown → | 75 |
| 6 | 23 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 137 |
About Fang Nie
Fang Nie is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 9 papers that have together received 329 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Ferroelectric and Piezoelectric Materials (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (236 citations), Cellular and Molecular Neuroscience (52 citations) and Polymers and Plastics (36 citations). Fang Nie has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jie Wang, Hongyuan Fang, Limei Zheng, Le Zhao, Shishen Yan, Weiming Lü, Bin He, Shuting Yang, Alain Nogaret and Gang Liu. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and Applied Physics Letters.
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.