Ning Ning
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- Advanced Memory and Neural Computing 8
- Advancements in Semiconductor Devices and Circuit Design 3
- Thin-Film Transistor Technologies 3
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- Neural dynamics and brain function 7
- Co-authors
- X.P. Li (4 shared papers)Hang Li Seet (3 shared papers)W.C. Ng (3 shared papers)Kejie Huang (5 shared papers)Luping Shi (5 shared papers)Rong Zhao (4 shared papers)Jerry Ying Hsi Fuh (1 shared paper)K.S. Lee (1 shared paper)
In The Last Decade
Ning Ning
25 papers receiving 394 citations
Peers
Comparison fields: 5 of 83
- Cellular and Molecular Neuroscience 123
- Cognitive Neuroscience 117
- Electrical and Electronic Engineering 226
- Polymers and Plastics 30
- Atomic and Molecular Physics, and Optics 57
Countries citing papers authored by Ning Ning
This map shows the geographic impact of Ning Ning'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 Ning Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Ning more than expected).
Fields of papers citing papers by Ning Ning
This network shows the impact of papers produced by Ning Ning. 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 Ning Ning. The network helps show where Ning Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Ning, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 84 | |
| 2 | 2014 | 71 | |
| 3 | 2006 | 32 | |
| 4 | 2013 | 30 | |
| 5 | 2018 | 27 | |
| 6 | 2012 | 22 | |
| 7 | 2013 | 18 | |
| 8 | 2009 | 17 | |
| 9 | 2011 | 17 | |
| 10 | 2013 | 14 | |
| 11 | 2010 | 13 | |
| 12 | 2006 | 12 | |
| 13 | 2014 | 8 | |
| 14 | 2006 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2010 | 5 | |
| 17 | 2015 | 3 | |
| 18 | 2012 | 3 | |
| 19 | 2010 | 2 | |
| 20 | 2010 | 2 |
About Ning Ning
Ning Ning is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics, Mechanical Engineering and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 401 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Neural dynamics and brain function (7 papers), Magnetic properties of thin films (5 papers), Neuroscience and Neural Engineering (4 papers), Non-Destructive Testing Techniques (3 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Thin-Film Transistor Technologies (3 papers) and Metallic Glasses and Amorphous Alloys (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (123 citations), Cognitive Neuroscience (117 citations), Electrical and Electronic Engineering (226 citations), Polymers and Plastics (30 citations) and Atomic and Molecular Physics, and Optics (57 citations). Ning Ning has collaborated with scholars based in Singapore, China and Romania. Frequent co-authors include X.P. Li, Hang Li Seet, W.C. Ng, Kejie Huang, Luping Shi, Rong Zhao, Jerry Ying Hsi Fuh, K.S. Lee, Guoqi Li and Wei He. Their work appears in journals such as IEEE Transactions on Magnetics, International Journal of Neural Systems, Scientific Reports, Journal of Materials Processing Technology and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
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.