Cao Tan
Impact in
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- Iterative Learning Control Systems
- Magnetic Bearings and Levitation Dynamics
- Automotive Engineering top 10%
- Electric and Hybrid Vehicle Technologies
- Vehicle Dynamics and Control Systems
- Advanced Battery Technologies Research
Papers in
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- Hydraulic and Pneumatic Systems 25
- Control Systems in Engineering 6
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- Iterative Learning Control Systems 7
- Advanced Sensor and Control Systems 6
- Elevator Systems and Control 6
- Co-authors
- Jiayu Lu (15 shared papers)Binbin Sun (9 shared papers)Geng Wang (6 shared papers)Liang Liu (4 shared papers)Siqin Chang (3 shared papers)Bo Li (6 shared papers)Zhiqiang Lyu (3 shared papers)Xinyu Fan (6 shared papers)
In The Last Decade
Cao Tan
47 papers receiving 458 citations
Peers
Comparison fields: 5 of 54
- Control and Systems Engineering 215
- Automotive Engineering 110
- Mechanical Engineering 230
- Electrical and Electronic Engineering 154
- Civil and Structural Engineering 49
Countries citing papers authored by Cao Tan
This map shows the geographic impact of Cao Tan'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 Cao Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cao Tan more than expected).
Fields of papers citing papers by Cao Tan
This network shows the impact of papers produced by Cao Tan. 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 Cao Tan. The network helps show where Cao Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Cao Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 63 | |
| 2 | 2022 | 27 | |
| 3 | 2019 | 25 | |
| 4 | 2017 | 23 | |
| 5 | 2021 | 20 | |
| 6 | 2022 | 19 | |
| 7 | 2022 | 17 | |
| 8 | 2021 | 17 | |
| 9 | 2018 | 17 | |
| 10 | 2020 | 15 | |
| 11 | 2017 | 15 | |
| 12 | 2025 | 15 | |
| 13 | 2020 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2025 | 12 | |
| 16 | 2019 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2025 | 10 | |
| 20 | 2023 | 9 |
About Cao Tan
Cao Tan is a scholar working on Mechanical Engineering, Control and Systems Engineering, Electrical and Electronic Engineering, Automotive Engineering and Aerospace Engineering, having authored 51 papers that have together received 470 indexed citations. Recurring topics across this work include Hydraulic and Pneumatic Systems (25 papers), Electric Motor Design and Analysis (9 papers), Electric and Hybrid Vehicle Technologies (7 papers), Iterative Learning Control Systems (7 papers), Advanced Sensor and Control Systems (6 papers), Control Systems in Engineering (6 papers), Elevator Systems and Control (6 papers) and Electromagnetic Launch and Propulsion Technology (5 papers). The work is most often cited by research in Control and Systems Engineering (215 citations), Automotive Engineering (110 citations), Mechanical Engineering (230 citations), Electrical and Electronic Engineering (154 citations) and Civil and Structural Engineering (49 citations). Cao Tan has collaborated with scholars based in China and Vietnam. Frequent co-authors include Jiayu Lu, Binbin Sun, Geng Wang, Liang Liu, Siqin Chang, Bo Li, Zhiqiang Lyu, Xinyu Fan, Bo Li and Jin Cui. Their work appears in journals such as Smart Materials and Structures, IEEE Access, Applied Thermal Engineering, Engineering Applications of Artificial Intelligence and Microelectronics Reliability.
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.