Meihang Li

1.7k total citations · 1 hit paper
35 papers, 1.5k citations indexed

About

Meihang Li is a scholar working on Control and Systems Engineering, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Meihang Li has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 14 papers in Artificial Intelligence and 9 papers in Molecular Biology. Recurrent topics in Meihang Li's work include Control Systems and Identification (18 papers), Fault Detection and Control Systems (11 papers) and Advanced Adaptive Filtering Techniques (6 papers). Meihang Li is often cited by papers focused on Control Systems and Identification (18 papers), Fault Detection and Control Systems (11 papers) and Advanced Adaptive Filtering Techniques (6 papers). Meihang Li collaborates with scholars based in China, Canada and Saudi Arabia. Meihang Li's co-authors include Ximei Liu, Feng Ding, Yamin Fan, Yongyong Shi, Zhiqiang Li, Sidang Liu, Yuanchao Sun, Yonghe Ding, Qinqin Sun and Yujuan Niu and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Trends in Genetics.

In The Last Decade

Meihang Li

34 papers receiving 1.5k citations

Hit Papers

Hierarchical Newton iterative identification methods for ... 2025 2026 2025 5 10 15
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hierarchical Newton iterative identification methods for a class of input multi-piecewise Hammerstein models with autoregressive noise
    2025 17 citations Yamin Fan, Meihang Li et al. Mathematics and Computers in Simulation profile →

Peers

Meihang Li
Jinxing Lin China
Yanjun Liu China
Changhong Wang China
Tong Zhou China
Ruifeng Ding China
Fei Han China
Xiaohan Chen China
Volker Rehbock Australia
Damián Marelli Australia
V. Cerone Italy
Jinxing Lin China
Meihang Li
Citations per year, relative to Meihang Li Meihang Li (= 1×) peers Jinxing Lin

Countries citing papers authored by Meihang Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Meihang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Meihang Li. A scholar is included among the top collaborators of Meihang Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meihang Li. Meihang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fan, Yamin, et al.. (2025). Hierarchical Newton iterative identification methods for a class of input multi-piecewise Hammerstein models with autoregressive noise. Mathematics and Computers in Simulation. 237. 247–262. 17 indexed citations breakdown →
2.
Li, Meihang, et al.. (2025). A novel filtering-based recursive identification method for a fractional-order Hammerstein state space system with piecewise nonlinearity. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 239(6). 1048–1065. 1 indexed citations
3.
Li, Meihang, Ximei Liu, & Yamin Fan. (2025). Multi‐Innovation Gradient Identification Methods for Bilinear Output‐Error Systems. Optimal Control Applications and Methods. 46(4). 1569–1586. 10 indexed citations
4.
Li, Meihang, et al.. (2024). Highly efficient maximum-likelihood identification methods for bilinear systems with colored noises. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 238(10). 1763–1784. 12 indexed citations
5.
Li, Liping, Meihang Li, Yuanchao Sun, et al.. (2021). Disruption of MAP7D1 Gene Function Increases the Risk of Doxorubicin‐Induced Cardiomyopathy and Heart Failure. BioMed Research International. 2021(1). 8569921–8569921. 7 indexed citations
6.
Li, Meihang, Jean‐Baptiste Rivière, & Constantin Polychronakos. (2021). Why all MODY variants are dominantly inherited: a hypothesis. Trends in Genetics. 38(4). 321–324. 2 indexed citations
7.
Li, Meihang & Ximei Liu. (2021). Iterative identification methods for a class of bilinear systems by using the particle filtering technique. International Journal of Adaptive Control and Signal Processing. 35(10). 2056–2074. 144 indexed citations
8.
9.
Li, Meihang, et al.. (2021). Iterative parameter estimation methods for dual‐rate sampled‐data bilinear systems by means of the data filtering technique. IET Control Theory and Applications. 15(9). 1230–1245. 41 indexed citations
10.
Li, Meihang & Ximei Liu. (2020). Maximum likelihood hierarchical least squares‐based iterative identification for dual‐rate stochastic systems. International Journal of Adaptive Control and Signal Processing. 35(2). 240–261. 180 indexed citations
11.
Niu, Yujuan, Qinqin Sun, Yongyong Shi, et al.. (2019). Immunosuppressive potential of fowl adenovirus serotype 4. Poultry Science. 98(9). 3514–3522. 28 indexed citations
12.
13.
Li, Meihang, et al.. (2018). Filtering-Based Maximum Likelihood Gradient Iterative Estimation Algorithm for Bilinear Systems with Autoregressive Moving Average Noise. Circuits Systems and Signal Processing. 37(11). 5023–5048. 41 indexed citations
14.
Li, Meihang, Ximei Liu, & Feng Ding. (2017). The maximum likelihood least squares based iterative estimation algorithm for bilinear systems with autoregressive moving average noise. Journal of the Franklin Institute. 354(12). 4861–4881. 59 indexed citations
15.
Liu, Zhiwen, Yun Xue, Meihang Li, et al.. (2017). Discovery of deep order-preserving submatrix in DNA microarray data based on sequential pattern mining. International Journal of Data Mining and Bioinformatics. 17(3). 217–217. 3 indexed citations
16.
Xue, Yun, et al.. (2016). A contiguous column coherent evolution biclustering algorithm for time-series gene expression data. International Journal of Machine Learning and Cybernetics. 9(3). 441–453. 3 indexed citations
17.
Hu, Xiaohui, et al.. (2016). An apriori-based algorithm for mining semi-order-preserving submatrix. International Journal of Computational Science and Engineering. 13(1). 66–66. 2 indexed citations
18.
Xue, Yun, et al.. (2015). A New Approach for Mining Order-Preserving Submatrices Based on All Common Subsequences. Computational and Mathematical Methods in Medicine. 2015. 1–11. 3 indexed citations
19.
Xue, Yun, et al.. (2014). A New Biclustering Algorithm for Time-Series Gene Expression Data Analysis. 1. 268–272. 3 indexed citations
20.
Liu, Shuai, Xiaomin Ning, Meihang Li, et al.. (2013). miR-191 May Regulate Pig Preadipocyte Differentiation by Targeting The Transcription Factor C/EBPβ. ACTA AGRONOMICA SINICA. 40(2). 165–165. 1 indexed citations

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.

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