Ran Cheng
Impact in
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- Electric Motor Design and Analysis
- Multilevel Inverters and Converters
- Sensorless Control of Electric Motors
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Control and Systems Engineering top 10%
- Magnetic Bearings and Levitation Dynamics
Papers in
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- Advanced Memory and Neural Computing 6
- Ferroelectric and Negative Capacitance Devices 3
- Electric Motor Design and Analysis 2
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- Neural Networks and Reservoir Computing 5
- Co-authors
- Guohai Liu (2 shared papers)Wenxiang Zhao (2 shared papers)Michael C. Hamilton (6 shared papers)Ying Xie (1 shared paper)Huawei Zhou (1 shared paper)Liang Xu (1 shared paper)Khalid B. Mirza (1 shared paper)Konstantin Nikolić (1 shared paper)
- Journals
- IEEE Transactions on Applied Superconductivity (5 papers)Journal of Applied Physics (2 papers)IEEE Transactions on Industrial Electronics (2 papers)Frontiers in Neuroscience (1 paper)Applied System Innovation (1 paper)
- Partner nations
- United StatesChinaQatar
In The Last Decade
Ran Cheng
11 papers receiving 338 citations
Peers
Comparison fields: 5 of 28
- Electrical and Electronic Engineering 305
- Control and Systems Engineering 116
- Electronic, Optical and Magnetic Materials 78
- Artificial Intelligence 67
- Mechanical Engineering 42
Countries citing papers authored by Ran Cheng
This map shows the geographic impact of Ran Cheng'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 Ran Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Cheng more than expected).
Fields of papers citing papers by Ran Cheng
This network shows the impact of papers produced by Ran Cheng. 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 Ran Cheng. The network helps show where Ran Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran Cheng, 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 | 2016 | 119 | |
| 2 | 2016 | 104 | |
| 3 | 2018 | 44 | |
| 4 | 2019 | 26 | |
| 5 | 2020 | 10 | |
| 6 | 2021 | 9 | |
| 7 | 2017 | 9 | |
| 8 | 2021 | 9 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2025 | 0 |
About Ran Cheng
Ran Cheng is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 340 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Neural Networks and Reservoir Computing (5 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Electric Motor Design and Analysis (2 papers), Quantum and electron transport phenomena (2 papers), ZnO doping and properties (1 paper), Neuroscience and Neural Engineering (1 paper) and Electronic and Structural Properties of Oxides (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (305 citations), Control and Systems Engineering (116 citations), Electronic, Optical and Magnetic Materials (78 citations), Artificial Intelligence (67 citations) and Mechanical Engineering (42 citations). Ran Cheng has collaborated with scholars based in United States, China and Qatar. Frequent co-authors include Guohai Liu, Wenxiang Zhao, Michael C. Hamilton, Ying Xie, Huawei Zhou, Liang Xu, Khalid B. Mirza, Konstantin Nikolić, Luke Oeding and Christoph Kirst. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Journal of Applied Physics, IEEE Transactions on Industrial Electronics, Frontiers in Neuroscience and Applied System Innovation.
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.