Lan–Lan Huang
Impact in
- Modeling and Simulation top 0.5%
- Fractional Differential Equations Solutions
- Numerical Analysis top 5%
Papers in
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- Fractional Differential Equations Solutions 18
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- Iterative Methods for Nonlinear Equations 8
- Co-authors
- Yongchang Zhang (6 shared papers)Guo–Cheng Wu (14 shared papers)Donglin Xu (2 shared papers)Dumitru Bǎleanu (5 shared papers)Zhiwen Mo (2 shared papers)Ju H. Park (1 shared paper)Maokang Luo (2 shared papers)Santo Banerjee (1 shared paper)
In The Last Decade
Lan–Lan Huang
32 papers receiving 1.2k citations
Lan–Lan Huang's Hit Papers
Peers
Comparison fields: 5 of 74
- Modeling and Simulation 355
- Numerical Analysis 124
- Control and Systems Engineering 389
- Applied Mathematics 175
- Statistical and Nonlinear Physics 198
Countries citing papers authored by Lan–Lan Huang
This map shows the geographic impact of Lan–Lan Huang'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 Lan–Lan Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan–Lan Huang more than expected).
Fields of papers citing papers by Lan–Lan Huang
This network shows the impact of papers produced by Lan–Lan Huang. 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 Lan–Lan Huang. The network helps show where Lan–Lan Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan–Lan Huang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Model-Free Predictive Current Control of PMSM Drives Based on Extended State Observer Using Ultralocal Model Hit paper breakdown → | 2020 | 428 |
| 2 | 2019 | 139 | |
| 3 | 2018 | 110 | |
| 4 | 2020 | 110 | |
| 5 | 2020 | 62 | |
| 6 | 2021 | 58 | |
| 7 | 2018 | 57 | |
| 8 | 2018 | 56 | |
| 9 | 2022 | 27 | |
| 10 | 2018 | 24 | |
| 11 | 2021 | 20 | |
| 12 | 2019 | 15 | |
| 13 | 2016 | 13 | |
| 14 | 2022 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2024 | 11 | |
| 17 | 2021 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2014 | 5 | |
| 20 | 2016 | 5 |
About Lan–Lan Huang
Lan–Lan Huang is a scholar working on Modeling and Simulation, Numerical Analysis, Applied Mathematics, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (18 papers), Nonlinear Differential Equations Analysis (9 papers), Iterative Methods for Nonlinear Equations (8 papers), Multilevel Inverters and Converters (6 papers), Fuzzy Systems and Optimization (5 papers), Advanced DC-DC Converters (5 papers), Microgrid Control and Optimization (4 papers) and Advanced Control Systems Design (3 papers). The work is most often cited by research in Modeling and Simulation (355 citations), Numerical Analysis (124 citations), Control and Systems Engineering (389 citations), Applied Mathematics (175 citations) and Statistical and Nonlinear Physics (198 citations). Lan–Lan Huang has collaborated with scholars based in China, Türkiye and Romania. Frequent co-authors include Yongchang Zhang, Guo–Cheng Wu, Donglin Xu, Dumitru Bǎleanu, Zhiwen Mo, Ju H. Park, Maokang Luo, Santo Banerjee, Hongyong Wang and Jiali Liu. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Abstract and Applied Analysis, Aquatic Toxicology, Fuzzy Sets and Systems and Chaos An Interdisciplinary Journal of Nonlinear Science.
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.