Qing Wu
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
- Semiconductor materials and devices
Papers in
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- Parallel Computing and Optimization Techniques 10
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- Neuroscience and Neural Engineering 31
- Journals
- Nature Communications (3 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (3 papers)Nature Electronics (3 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)The Journal of Physical Chemistry C (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Qing Wu
140 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Cellular and Molecular Neuroscience 3.2k
- Electrical and Electronic Engineering 8.0k
- Hardware and Architecture 736
- Cognitive Neuroscience 1.3k
- Polymers and Plastics 843
Countries citing papers authored by Qing Wu
This map shows the geographic impact of Qing Wu'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 Qing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Wu more than expected).
Fields of papers citing papers by Qing Wu
This network shows the impact of papers produced by Qing Wu. 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 Qing Wu. The network helps show where Qing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 70 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 3 | |
| 10 | 2020 | 39 | |
| 11 | 2017 | 339 | |
| 12 | 2017 | 190 | |
| 13 | Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing Hit paper breakdown → | 2016 | 1899 |
| 14 | 2016 | 219 | |
| 15 | 2015 | 155 | |
| 16 | 2013 | 7 | |
| 17 | 2012 | 3 | |
| 18 | Study on Path Selection of Emergency Logistics Based on AHP | 2007 | 1 |
| 19 | The Modern Logistics System Based on Information Technology | 2003 | 1 |
| 20 | A New Design for Double Edge Triggered Flip-flops. | 1998 | 24 |
About Qing Wu
Qing Wu is a scholar working on Hardware and Architecture, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Automotive Engineering and General Materials Science, having authored 142 papers that have together received 8.8k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (66 papers), Ferroelectric and Negative Capacitance Devices (44 papers), Neuroscience and Neural Engineering (31 papers), Low-power high-performance VLSI design (18 papers), Neural dynamics and brain function (10 papers), CCD and CMOS Imaging Sensors (10 papers), Parallel Computing and Optimization Techniques (10 papers) and Advanced Battery Technologies Research (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.2k citations), Electrical and Electronic Engineering (8.0k citations), Hardware and Architecture (736 citations), Cognitive Neuroscience (1.3k citations) and Polymers and Plastics (843 citations). Qing Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Mark Barnell, J. Joshua Yang, Hao Jiang, Qiangfei Xia, Miao Hu, Zhongrui Wang, Peng Lin, Qinru Qiu, R. Stanley Williams and Ning Ge. Their work appears in journals such as Nature Communications, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Nature Electronics, IEEE Transactions on Neural Networks and Learning Systems and The Journal of Physical Chemistry C.
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.