Meihang Li
- Control and Systems Engineering top 0.5%
- Control Systems and Identification 18
- Fault Detection and Control Systems 11
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- Structural Health Monitoring Techniques 6
- Artificial Intelligence top 2%
- Neural Networks and Applications 5
- Target Tracking and Data Fusion in Sensor Networks 4
- Computational Mechanics top 5%
- Advanced Adaptive Filtering Techniques 6
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- Data Mining Algorithms and Applications 6
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- Gene expression and cancer classification 6
- Journals
- The Journal of Clinical Endocrinology & Metabolism (1 paper)Diabetes (1 paper)Trends in Genetics (1 paper)
- Partner nations
- ChinaCanadaSaudi Arabia
In The Last Decade
Meihang Li
34 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Control and Systems Engineering 1.2k
- Civil and Structural Engineering 374
- Artificial Intelligence 515
- Computational Mathematics 8
- Computational Mechanics 201
Countries citing papers authored by Meihang Li
This map shows the geographic impact of Meihang Li'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 Meihang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meihang Li more than expected).
Fields of papers citing papers by Meihang Li
This network shows the impact of papers produced by Meihang Li. 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 Meihang Li. The network helps show where Meihang Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Meihang Li, 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 | Hierarchical Newton iterative identification methods for a class of input multi-piecewise Hammerstein models with autoregressive noisebreakdown → | 2025 | 17 |
| 2 | 2025 | 1 | |
| 3 | 2025 | 10 | |
| 4 | 2024 | 12 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 144 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 41 | |
| 10 | 2020 | 180 | |
| 11 | 2019 | 28 | |
| 12 | 2018 | 183 | |
| 13 | 2018 | 41 | |
| 14 | 2017 | 59 | |
| 15 | 2017 | 3 | |
| 16 | 2016 | 3 | |
| 17 | 2016 | 2 | |
| 18 | 2015 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2013 | 1 |
About Meihang Li
Meihang Li is a scholar working on Control and Systems Engineering, Artificial Intelligence and Information Systems, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Control Systems and Identification (18 papers), Fault Detection and Control Systems (11 papers), Advanced Adaptive Filtering Techniques (6 papers), Data Mining Algorithms and Applications (6 papers), Structural Health Monitoring Techniques (6 papers), Gene expression and cancer classification (6 papers), Neural Networks and Applications (5 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Civil and Structural Engineering (374 citations) and Artificial Intelligence (515 citations). Meihang Li has collaborated with scholars based in China, Canada and Saudi Arabia. Frequent co-authors include Ximei Liu, Feng Ding, Yamin Fan, Yongyong Shi, Zhiqiang Li, Sidang Liu, Yuanchao Sun, Yonghe Ding, Qinqin Sun and Yujuan Niu. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Trends in Genetics.
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.