Libing Jing
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- Magnetic Bearings and Levitation Dynamics 64
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- Magnetic Properties and Applications 45
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- Electric Motor Design and Analysis 72
- Sensorless Control of Electric Motors 7
- Electric Power Systems and Control 2
- Mechanical Engineering top 10%
- Induction Heating and Inverter Technology 8
- Non-Destructive Testing Techniques 4
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- Superconducting Materials and Applications 4
Libing Jing
68 papers receiving 741 citations
Peers
Comparison fields: 5 of 34
- Control and Systems Engineering 569
- Electronic, Optical and Magnetic Materials 354
- Electrical and Electronic Engineering 695
- Mechanical Engineering 168
- Energy Engineering and Power Technology 5
Countries citing papers authored by Libing Jing
This map shows the geographic impact of Libing Jing'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 Libing Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Libing Jing more than expected).
Fields of papers citing papers by Libing Jing
This network shows the impact of papers produced by Libing Jing. 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 Libing Jing. The network helps show where Libing Jing may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Libing Jing, 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 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 32 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 22 | |
| 18 | 2019 | 3 | |
| 19 | 2019 | 39 | |
| 20 | 2018 | 7 |
About Libing Jing
Libing Jing is a scholar working on Control and Systems Engineering, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering, Mechanical Engineering and Biomedical Engineering, having authored 77 papers that have together received 760 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (72 papers), Magnetic Bearings and Levitation Dynamics (64 papers), Magnetic Properties and Applications (45 papers), Induction Heating and Inverter Technology (8 papers), Sensorless Control of Electric Motors (7 papers), Superconducting Materials and Applications (4 papers), Non-Destructive Testing Techniques (4 papers) and Electric Power Systems and Control (2 papers). The work is most often cited by research in Control and Systems Engineering (569 citations), Electronic, Optical and Magnetic Materials (354 citations), Electrical and Electronic Engineering (695 citations), Mechanical Engineering (168 citations) and Energy Engineering and Power Technology (5 citations). Libing Jing has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Ronghai Qu, Tong Ben, Tao Wang, Yuting Gao, Wei Liu, Dawei Li, Po-Tai Cheng, Junlin Chen, Yuehua Huang and Min Xiong. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, IEEE Access, Journal of Electrical Engineering and Technology, IEEE Transactions on Industry Applications and AIP Advances.
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.