International Journal of Wavelets, Multiresolution and Information Processing

Aims & Scope

International Journal of Wavelets, Multiresolution and Information Processing (hereafter referred to as IJWMIP) is a bi-monthly publication for theoretical and applied papers on the current state-of-the-art results of wavelet analysis, multiresolution and information processing.

Papers related to the IJWMIP theme are especially solicited, including theories, methodologies, algorithms and emerging applications.

Topics of interest of the IJWMIP include, but are not limited to: 1.

Wavelets: Wavelets and operator theory Frame and applications Time-frequency analysis and applications Sparse representation and approximation Sampling theory and compressive sensing Wavelet based algorithms and applications 2.

Multiresolution: Multiresolution analysis Multiscale approximation Multiresolution image processing and signal processing Multiresolution representations Deep learning and neural networks Machine learning theory, algorithms and applications High dimensional data analysis 3.

Information Processing: Data sciences Big data and applications Information theory Information systems and technology Information security Information learning and processing Artificial intelligence and pattern recognition Image/signal processing.

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.280

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	31

Journal Rank

Year	Value
2024	17330

Journal Citation Indicator

Year	Value
2024	234

Impact Factor

Year	Value
2024	0.90

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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 Computer Science and Mathematics, 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.

• Infrared and visible image fusion with convolutional neural networks

  Citation: 369

  Authors: Yu, Xun, Juan, Hu, Zengfu

• EMPIRICAL MODE DECOMPOSITIONS AS DATA-DRIVEN WAVELET-LIKE EXPANSIONS

  Citation: 233

  Authors: PATRICK, PAULO

• DEMODULATION BY COMPLEX-VALUED WAVELETS FOR STOCHASTIC PATTERN RECOGNITION

  Citation: 197

  Authors: JOHN

• THE TIMING OF FACIAL MOTION IN POSED AND SPONTANEOUS SMILES

  Citation: 191

  Authors: J. F., K. L.

• A parameterless scale-space approach to find meaningful modes in histograms — Application to image and spectrum segmentation

  Citation: 149

  Authors: Jérôme, Kathryn

• Hyperspectral image classification using wavelet transform-based smooth ordering

  Citation: 111

  Authors: Lina, Hailong, Cheng, Zuqiang, Huiwu, Xichun, Yuan Yan, Yang

• THE UNCERTAINTY PRINCIPLE ASSOCIATED WITH THE CONTINUOUS SHEARLET TRANSFORM

  Citation: 99

  Authors: STEPHAN, GITTA, PETER, CHEN, HANS-GEORG, GERD

• NEW INSIGHTS INTO THE ESTIMATION OF SCALING EXPONENTS

  Citation: 94

  Authors: B., P., P.

• BASE WAVELET SELECTION FOR BEARING VIBRATION SIGNAL ANALYSIS

  Citation: 82

  Authors: RUQIANG, ROBERT X.

• THE LINEAR TIME FREQUENCY ANALYSIS TOOLBOX

  Citation: 81

  Authors: PETER L., BRUNO, PETER

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