International Journal of Hydromechatronics

Metrics & Ranking

Impact Factor

Year	Value
2025	6.7
2024	5.30

Journal Rank

Year	Value
2024	6201

Journal Citation Indicator

Year	Value
2024	340

SJR (SCImago Journal Rank)

Year	Value
2024	0.851

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	20

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering and Materials Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Surrogate models in machine learning for computational stochastic multi-scale modelling in composite materials design

  Citation: 104

  Authors: Bokai, Weizhuo

• The effects of particle swarm optimisation and genetic algorithm on ANN results in predicting pile bearing capacity

  Citation: 65

  Authors: Bhatawdekar Ramesh, Rabindra Kumar, Edy Tonnizam, Rajesh, Majid

• Engine speed reduction for hydraulic machinery using predictive algorithms

  Citation: 65

  Authors: Travis

• Analytical analysis of single-stage pressure relief valves

  Citation: 64

  Authors: Sven, Jürgen

• Self-supervised learning for tool wear monitoring with a disentangled-variational-autoencoder

  Citation: 62

  Authors: Tim Von, Chris K.

• A review on the artificial neural network approach to analysis and prediction of seismic damage in infrastructure

  Citation: 49

  Authors: Manouchehr, Kian

• Selection of the most influential parameters on vectorial crystal growth of highly oriented vertically aligned carbon nanotubes by adaptive neuro-fuzzy technique

  Citation: 46

  Authors: Maryam, Masoud, Javad, Dalibor, Mohammad, Yousef, Yadollah

• Study on the dynamic and static characteristics of gas static thrust bearing with micro-hole restrictors

  Citation: 38

  Authors: Renzong, Hechun, Guangzhou, Guoqing, Wenbo

• A novel tool condition monitoring based on Gramian angular field and comparative learning

  Citation: 35

  Authors: Hongche, Wei, Weifang, Yan, Yuqing, Qijia, Anil

• Solution of structural mechanic's problems by machine learning

  Citation: 35

  Authors: Himanshu, Basim, Ram Kishore

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