Ning Qiao
- Electrical and Electronic Engineering top 5%
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Co-authors
- Giacomo IndiveriFabio StefaniniFederico CorradiSaber MoradiHesham MostafaMarc OsswaldArianna RubinoMelika Payvand
- Topics
- Advanced Memory and Neural Computing (23 papers)Neural dynamics and brain function (13 papers)Ferroelectric and Negative Capacitance Devices (11 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaIEEE Journal of Solid-State Circuits
- Partner nations
- SwitzerlandChinaUnited States
In The Last Decade
Ning Qiao
32 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Electrical and Electronic Engineering 1.3k
- Cognitive Neuroscience 607
- Cellular and Molecular Neuroscience 545
- Artificial Intelligence 385
- Biomedical Engineering 55
Countries citing papers authored by Ning Qiao
This map shows the geographic impact of Ning Qiao'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 Qiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Qiao more than expected).
Fields of papers citing papers by Ning Qiao
This network shows the impact of papers produced by Ning Qiao. 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 Qiao. The network helps show where Ning Qiao may publish in the future.
Co-authorship network of co-authors of Ning Qiao
This figure shows the co-authorship network connecting the top 25 collaborators of Ning Qiao. A scholar is included among the top collaborators of Ning Qiao 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 Ning Qiao. Ning Qiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 45 | |
| 3 | 0 | |
| 4 | 32 | |
| 5 | 1 | |
| 6 | 26 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 58 | |
| 14 | 13 | |
| 15 | 40 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapsesbreakdown → | 469 |
| 20 | 6 |
About Ning Qiao
Ning Qiao is a scholar working on Cognitive Neuroscience, Energy Engineering and Power Technology and Electrical and Electronic Engineering, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (23 papers), Neural dynamics and brain function (13 papers) and Ferroelectric and Negative Capacitance Devices (11 papers). The work is most often cited by research in Cognitive Neuroscience (607 citations), Cellular and Molecular Neuroscience (545 citations) and Electrical and Electronic Engineering (1.3k citations). Ning Qiao has collaborated with scholars based in Switzerland, China and United States. Frequent co-authors include Giacomo Indiveri, Fabio Stefanini, Federico Corradi, Saber Moradi, Hesham Mostafa, Marc Osswald, Arianna Rubino, Melika Payvand, Chenxi Wu and Francky Catthoor. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Journal of Solid-State Circuits.
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.