Advances in Nonlinear Variational Inequalities

Aims & Scope

Cessation.

Metrics & Ranking

Abstracting & Indexing

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

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Subjects & Keywords

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

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.

• Designing and Developing novel methods for Enhancing the Accuracy of Water Quality Prediction for Aquaponic Farming

  Citation: 19

  Authors:

• A Comprehensive Analysis to Image Classification: Understanding Techniques and Explore Data Preprocessing a Non-linear Approach

  Citation: 4

  Authors: Et al.

• AI and Machine Learning Solutions for Real-Time Fault-Tolerant System Design in Critical Applications

  Citation: 3

  Authors:

• Economic and Mathematical Modeling of Energy-Saving and Resource-Saving Innovations in the Project Approach to Crisis and Strategic Management of Hospitality Industry Enterprises Based on Corporate Law and Public Administration: Application of Numerical M

  Citation: 3

  Authors:

• A New Family of Power Function- Lindley Distribution

  Citation: 2

  Authors: Emad Farhood

• Seven Years Malaria Trend Analysis in Kori Public Health Centre, Southwest Sumba District East Nusa Tenggara Province, Indonesia: a Retrospective Study

  Citation: 2

  Authors:

• Design of an Integrated Method for Optimizing Electron Beam Lithography Using Genetic Algorithms, Particle Swarm Optimization, and Grey Wolf Optimizer

  Citation: 2

  Authors:

• Enhancing Social Network Analysis using Graph Neural Networks

  Citation: 2

  Authors:

• Security Enhancement for IoT using Mutual Authentication Based Lightweight Algorithm

  Citation: 2

  Authors:

• Design and Development of Intrusive Detection Model based on Sequential Deep Recurrent Neural Network (SDRNN) Classifier

  Citation: 2

  Authors: