Neural Network World

Aims & Scope

Neural Network World is a bimonthly journal providing the latest developments in the field of informatics with attention mainly devoted to the problems of: brain science, theory and applications of neural networks (both artificial and natural), fuzzy-neural systems, methods and applications of evolutionary algorithms, methods of parallel and mass-parallel computing, problems of soft-computing, methods of artificial intelligence.

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.196

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	30

Journal Rank

Year	Value
2024	21457

Journal Citation Indicator

Year	Value
2024	74

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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

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Neuroscience, 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.

• ARTIFICIAL INTELLIGENCE-BASED PREDICTION MODELS FOR ENVIRONMENTAL ENGINEERING

  Citation: 104

  Authors: Kaan, Bestamin, Mehmet

• MODELLING SMART ROAD TRAFFIC CONGESTION CONTROL SYSTEM USING MACHINE LEARNING TECHNIQUES

  Citation: 91

  Authors: Ayesha, Muhammad Adnan, Sagheer, Gulzar, Areej

• CLASSIFICATION OF SONAR DATA SET USING NEURAL NETWORK TRAINED BY GRAY WOLF OPTIMIZATION

  Citation: 71

  Authors: Mohammad Reza, Mohammad, Abolfazl

• LARGE EARTHQUAKE MAGNITUDE PREDICTION IN TAIWAN BASED ON DEEP LEARNING NEURAL NETWORK

  Citation: 71

  Authors: Jipan, Xin'an, Yong, Chen, Han

• BUS ARRIVAL TIME PREDICTION USING SUPPORT VECTOR MACHINE WITH GENETIC ALGORITHM

  Citation: 64

  Authors: Ming, Chao, Lu, Xinxin, Liping

• A COMPARISON OF THE PERFORMANCE OF ANN AND SVM FOR THE PREDICTION OF TRAFFIC ACCIDENT DURATION

  Citation: 64

  Authors: B., Y. T., J. B., J. Y.

• ECG CLASSIFICATION USING HIGHER ORDER SPECTRAL ESTIMATION AND DEEP LEARNING TECHNIQUES

  Citation: 54

  Authors: Hiam, Ali Mohammad, Isam, Alaa, Sami

• PREDICTION OF MARTENSITE FRACTION OF MICROALLOYED STEEL BY ARTIFICIAL NEURAL NETWORKS

  Citation: 42

  Authors: Gholamreza, Ali, Hesam

• MODELING THE CORRELATION BETWEEN HEAT TREATMENT, CHEMICAL COMPOSITION AND BAINITE FRACTION OF PIPELINE STEELS BY MEANS OF ARTIFICIAL NEURAL NETWORKS

  Citation: 37

  Authors: Gholamreza, Hesam, Kaveh Rahimi, Mohammad-Javad

• TOWARDS COMPLEX SYSTEM THEORY : TUTORIAL

  Citation: 28

  Authors: Miroslav

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