Qi Qin
- Electrical and Electronic Engineering top 5%
- Cellular and Molecular Neuroscience top 10%
- Materials Chemistry
- Artificial Intelligence top 10%
- Polymers and Plastics
- Co-authors
- Sayani MajumdarHongwei TanSebastiaan van DijkenHuaqiang WuJianshi TangHe QianBin GaoJiaming Li
- Topics
- Advanced Memory and Neural Computing (23 papers)Ferroelectric and Negative Capacitance Devices (15 papers)CCD and CMOS Imaging Sensors (5 papers)
- Cited by
- Electrical and Electronic EngineeringCellular and Molecular NeurosciencePolymers and Plastics
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qi Qin
34 papers receiving 810 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Electrical and Electronic Engineering 754
- Cellular and Molecular Neuroscience 225
- Materials Chemistry 153
- Artificial Intelligence 115
- Polymers and Plastics 90
Countries citing papers authored by Qi Qin
This map shows the geographic impact of Qi Qin'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 Qi Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Qin more than expected).
Fields of papers citing papers by Qi Qin
This network shows the impact of papers produced by Qi Qin. 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 Qi Qin. The network helps show where Qi Qin may publish in the future.
Co-authorship network of co-authors of Qi Qin
This figure shows the co-authorship network connecting the top 25 collaborators of Qi Qin. A scholar is included among the top collaborators of Qi Qin 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 Qi Qin. Qi Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | A memristor-based adaptive neuromorphic decoder for brain–computer interfacesbreakdown → | 27 |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | Edge learning using a fully integrated neuro-inspired memristor chipbreakdown → | 230 |
| 11 | 21 | |
| 12 | 1 | |
| 13 | 46 | |
| 14 | 0 | |
| 15 | 6 | |
| 16 | 7 | |
| 17 | 4 | |
| 18 | 40 | |
| 19 | 0 | |
| 20 | 187 |
About Qi Qin
Qi Qin is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Bioengineering, having authored 39 papers that have together received 826 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (23 papers), Ferroelectric and Negative Capacitance Devices (15 papers) and CCD and CMOS Imaging Sensors (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (754 citations), Cellular and Molecular Neuroscience (225 citations) and Polymers and Plastics (90 citations). Qi Qin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Sayani Majumdar, Hongwei Tan, Sebastiaan van Dijken, Huaqiang Wu, Jianshi Tang, He Qian, Bin Gao, Jiaming Li, Qingtian Zhang and John L. Reno. Their work appears in journals such as Science, Advanced Materials and Nature Communications.
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.