Qing Dong
- Hardware and Architecture top 1%
- VLSI and Analog Circuit Testing 8
-
- Advanced Memory and Neural Computing 18
- Low-power high-performance VLSI design 13
- Advancements in Semiconductor Devices and Circuit Design 10
- VLSI and FPGA Design Techniques 9
- Semiconductor materials and devices 8
- Ferroelectric and Negative Capacitance Devices 6
- Artificial Intelligence top 5%
-
- Analog and Mixed-Signal Circuit Design 12
- Co-authors
- Dennis SylvesterDavid BlaauwKaiyuan YangJonathan ChangYiqun ZhangYejoong KimMatthew HicksTodd Austin
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLANT PHYSIOLOGY (1 paper)Communications of the ACM (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Qing Dong
63 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 81
- Hardware and Architecture 523
- Electrical and Electronic Engineering 1.4k
- Cellular and Molecular Neuroscience 187
- Computer Vision and Pattern Recognition 164
- Artificial Intelligence 226
Countries citing papers authored by Qing Dong
This map shows the geographic impact of Qing Dong'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 Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Dong more than expected).
Fields of papers citing papers by Qing Dong
This network shows the impact of papers produced by Qing Dong. 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 Dong. The network helps show where Qing Dong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qing Dong, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2020 | 23 | |
| 4 | 2020 | 249 | |
| 5 | 2019 | 38 | |
| 6 | 2018 | 88 | |
| 7 | 2018 | 41 | |
| 8 | 2018 | 31 | |
| 9 | 2018 | 35 | |
| 10 | 2017 | 54 | |
| 11 | 2017 | 93 | |
| 12 | 2017 | 75 | |
| 13 | 2017 | 12 | |
| 14 | 2017 | 77 | |
| 15 | 2017 | 15 | |
| 16 | 2016 | 14 | |
| 17 | 2016 | 55 | |
| 18 | 2012 | 2 | |
| 19 | 2010 | 6 | |
| 20 | 2008 | 2 |
About Qing Dong
Qing Dong is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (18 papers), Low-power high-performance VLSI design (13 papers), Analog and Mixed-Signal Circuit Design (12 papers), Advancements in Semiconductor Devices and Circuit Design (10 papers), VLSI and FPGA Design Techniques (9 papers), VLSI and Analog Circuit Testing (8 papers), Semiconductor materials and devices (8 papers) and Ferroelectric and Negative Capacitance Devices (6 papers). The work is most often cited by research in Hardware and Architecture (523 citations), Electrical and Electronic Engineering (1.4k citations) and Cellular and Molecular Neuroscience (187 citations). Qing Dong has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Dennis Sylvester, David Blaauw, Kaiyuan Yang, Jonathan Chang, Yiqun Zhang, Yejoong Kim, Matthew Hicks, Todd Austin, Mahmut E. Sinangil and Burak Erbagci. Their work appears in journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and Communications of the ACM.
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.