Hao Ma

986 total citations · 2 hit papers
24 papers, 852 citations indexed

About

Hao Ma is a scholar working on Control and Systems Engineering, Analytical Chemistry and Civil and Structural Engineering. According to data from OpenAlex, Hao Ma has authored 24 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 5 papers in Analytical Chemistry and 4 papers in Civil and Structural Engineering. Recurrent topics in Hao Ma's work include Fault Detection and Control Systems (11 papers), Control Systems and Identification (7 papers) and Spectroscopy and Chemometric Analyses (5 papers). Hao Ma is often cited by papers focused on Fault Detection and Control Systems (11 papers), Control Systems and Identification (7 papers) and Spectroscopy and Chemometric Analyses (5 papers). Hao Ma collaborates with scholars based in China, Saudi Arabia and United Kingdom. Hao Ma's co-authors include Feng Ding, Jian Pan, Ling Xu, Wenfang Ding, Xiao Zhang, Qinyao Liu, Erfu Yang, Yufang Chang, Jie Sheng and Yan Wang and has published in prestigious journals such as Expert Systems with Applications, Sustainability and IEEE Transactions on Industrial Informatics.

In The Last Decade

Hao Ma

17 papers receiving 834 citations

Hit Papers

Partially‐coupled least squares based iterative parameter... 2019 2026 2021 2023 2019 2023 50 100 150
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. Partially‐coupled least squares based iterative parameter estimation for multi‐variable output‐error‐like autoregressive moving average systems
    2019 194 citations Hao Ma, Jian Pan et al. IET Control Theory and Applications profile →
  2. Hierarchical gradient‐ and least‐squares‐based iterative estimation algorithms for input‐nonlinear output‐error systems from measurement information by using the over‐parameterization
    2023 95 citations Feng Ding, Ling Xu et al. International Journal of Robust and Nonlinear Control profile →

Peers

Hao Ma
Yihong Zhou China
Ya Gu China
Zhen Kang China
Yanjiao Wang China
Weili Xiong China
Laurent Bako France
Wenfang Ding China
Junxia Ma China
Qinyao Liu China
Roberto Diversi Italy
Yihong Zhou China
Hao Ma
Citations per year, relative to Hao Ma Hao Ma (= 1×) peers Yihong Zhou

Countries citing papers authored by Hao Ma

Since Specialization
Citations

This map shows the geographic impact of Hao Ma'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 Hao Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Ma more than expected).

Fields of papers citing papers by Hao Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hao Ma. 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 Hao Ma. The network helps show where Hao Ma may publish in the future.

Co-authorship network of co-authors of Hao Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Ma. A scholar is included among the top collaborators of Hao Ma 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 Hao Ma. Hao Ma 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.
Zhou, Yihong, Zhengtian Wu, Zhenping Chen, & Hao Ma. (2025). Dynamic Factor and Multi-Innovation-Based Output–Input Feedback Elman Network Modeling From Measurements. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 10 indexed citations
2.
3.
Ma, Hao, et al.. (2025). Key performance indicator-related process monitoring for irregular scenarios with incomplete data. Expert Systems with Applications. 298. 129440–129440.
4.
Ma, Hao, et al.. (2025). Quality-Driven Orthogonal Kernel Subspace Analysis Method for Fault Detection of Nonlinear Industrial Processes. IEEE Transactions on Instrumentation and Measurement. 74. 1–14.
5.
Ma, Hao, Yan Wang, Xiang Liu, & Jie Yuan. (2025). Kernel entropy quality correlation analysis for nonlinear industrial process fault detection. Journal of Process Control. 146. 103369–103369.
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7.
Ma, Hao, et al.. (2024). Travel Time Estimation for Urban Arterials Based on the Multi-Source Data. Sustainability. 16(17). 7845–7845. 2 indexed citations
8.
9.
Ma, Hao, Yan Wang, Jie Yuan, & Zhicheng Ji. (2023). Kernel-Based KPI-Oriented Fault Detection Approach in the Presence of Outliers. IEEE Transactions on Industrial Informatics. 19(10). 10366–10378. 4 indexed citations
10.
Ma, Hao, Yan Wang, Hongtian Chen, Jie Yuan, & Zhicheng Ji. (2023). Quality-Oriented Efficient Distributed Kernel-Based Monitoring Strategy for Nonlinear Plant-Wide Industrial Processes. IEEE Transactions on Automation Science and Engineering. 21(4). 6027–6040. 4 indexed citations
11.
Ding, Feng, Ling Xu, Xiao Zhang, & Hao Ma. (2023). Hierarchical gradient‐ and least‐squares‐based iterative estimation algorithms for input‐nonlinear output‐error systems from measurement information by using the over‐parameterization. International Journal of Robust and Nonlinear Control. 34(2). 1120–1147. 95 indexed citations breakdown →
12.
Ma, Hao, Yan Wang, & Zhicheng Ji. (2022). A novel dynamic nonlinear partial least squares based on the cascade structure. International Journal of Robust and Nonlinear Control. 32(6). 3584–3605. 6 indexed citations
13.
Ma, Hao, Feng Ding, & Yan Wang. (2022). A novel multi-innovation gradient support vector machine regression method. ISA Transactions. 130. 343–359. 45 indexed citations
14.
Ma, Hao, Yan Wang, Zhicheng Ji, & Feng Ding. (2022). A Novel Three-Stage Quality Oriented Data-Driven Nonlinear Industrial Process Monitoring Strategy. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 23 indexed citations
15.
Ma, Hao, Feng Ding, & Yan Wang. (2021). Multi‐innovation Newton recursive methods for solving the support vector machine regression problems. International Journal of Robust and Nonlinear Control. 31(15). 7239–7260. 6 indexed citations
16.
Ma, Hao, Jian Pan, Feng Ding, Ling Xu, & Wenfang Ding. (2019). Partially‐coupled least squares based iterative parameter estimation for multi‐variable output‐error‐like autoregressive moving average systems. IET Control Theory and Applications. 13(18). 3040–3051. 194 indexed citations breakdown →
17.
Pan, Jian, Hao Ma, Xiao Wei Jiang, Wenfang Ding, & Feng Ding. (2018). Adaptive Gradient‐Based Iterative Algorithm for Multivariable Controlled Autoregressive Moving Average Systems Using the Data Filtering Technique. Complexity. 2018(1). 59 indexed citations
18.
Ma, Hao, et al.. (2015). Analysis of temperature time series based on Hilbert-Huang Transform. Journal of Hydrodynamics. 27(4). 587–592. 4 indexed citations
19.
20.
Wei, Wei & Hao Ma. (2011). ARMA Model and Wavelet-Based ARMA Model Application. Applied Mechanics and Materials. 121-126. 1799–1803.

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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