World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
8226
World Ranking
7957
National Ranking
30

Overview

Naif Alajlan is affiliated with King Saud University in Saudi Arabia and has contributed extensively to research in the fields of Computer Science and Engineering. The majority of their work focuses on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Mechanics of Materials, and Materials Chemistry.

The topics most frequently addressed in Alajlan's research include:

  • Remote-Sensing Image Classification
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Model Reduction and Neural Networks
  • Numerical methods in engineering
  • Biometric Identification and Security
  • Digital Media Forensic Detection

Naif Alajlan has published numerous papers in a variety of journals. Notable recent papers include:

  • Deep autoencoder based energy method for the bending, vibration, and buckling analysis of Kirchhoff plates with transfer learning (2021, European Journal of Mechanics - A/Solids)
  • Classification of Remote Sensing Images Using EfficientNet-B3 CNN Model With Attention (2021, IEEE Access)
  • Parametric deep energy approach for elasticity accounting for strain gradient effects (2021, Computer Methods in Applied Mechanics and Engineering)
  • Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media (2022, Engineering With Computers)
  • Computational Modeling of Flexoelectricity-A Review (2020, Energies)

The researcher collaborates frequently with several coauthors, including:

  • Yakoub Bazi
  • Timon Rabczuk
  • Haikel Alhichri
  • Xiaoying Zhuang
  • Nassim Ammour

Alajlan's work appears regularly in multiple publication venues, notably:

  • Applied Sciences
  • Engineering With Computers
  • Remote Sensing
  • Computers, materials & continua/Computers, materials & continua (Print)
  • IEEE Geoscience and Remote Sensing Letters

Best Publications

  • Deep learning approach for active classification of electrocardiogram signals

    M.M. Al Rahhal;Yakoub Bazi;Haikel AlHichri;Naif Alajlan

  • Artificial neural network methods for the solution of second order boundary value problems

    Cosmin Anitescu;Elena Atroshchenko;Naif Alajlan;Timon Rabczuk

  • Deep autoencoder based energy method for the bending, vibration, and buckling analysis of Kirchhoff plates with transfer learning

    Xiaoying Zhuang;Xiaoying Zhuang;Hongwei Guo;Naif Alajlan;Hehua Zhu

  • Shape retrieval using triangle-area representation and dynamic space warping

    Naif Alajlan;Ibrahim El Rube;Mohamed S. Kamel;George Freeman

  • Deep Learning Approach for Car Detection in UAV Imagery

    Nassim Ammour;Haikel Salem Alhichri;Yakoub Bazi;Bilel Benjdira

  • Classification of Remote Sensing Images Using EfficientNet-B3 CNN Model With Attention

    Haikel Alhichri;Asma S. Alswayed;Yakoub Bazi;Nassim Ammour

  • Sensitivity and uncertainty analysis for flexoelectric nanostructures

    Khader M. Hamdia;Hamid Ghasemi;Xiaoying Zhuang;Naif Alajlan

  • A wavelet optimization approach for ECG signal classification

    Abdelhamid Daamouche;Latifa Hamami;Naif Alajlan;Farid Melgani

  • Parametric deep energy approach for elasticity accounting for strain gradient effects

    Vien Minh Nguyen-Thanh;Cosmin Anitescu;Naif Alajlan;Timon Rabczuk

  • Geometry-Based Image Retrieval in Binary Image Databases

    N. Alajlan;M.S. Kamel;G.H. Freeman

  • Approximate reasoning with generalized orthopair fuzzy sets

    Ronald R. Yager;Naif Alajlan

  • Domain Adaptation Network for Cross-Scene Classification

    Esam Othman;Yakoub Bazi;Farid Melgani;Haikel Alhichri

  • Using convolutional features and a sparse autoencoder for land-use scene classification

    Esam Othman;Yakoub Bazi;Naif Alajlan;Haikel Alhichri

  • Differential Evolution Extreme Learning Machine for the Classification of Hyperspectral Images

    Yakoub Bazi;Naif Alajlan;Farid Melgani;Haikel AlHichri

  • Detail preserving impulsive noise removal

    Naif Alajlan;Mohamed Kamel;Ed Jernigan

  • Efficient Framework for Palm Tree Detection in UAV Images

    Salim Malek;Yakoub Bazi;Naif Alajlan;Haikel AlHichri

  • Aspects of generalized orthopair fuzzy sets

    Ronald R. Yager;Naif Alajlan;Yakoub Bazi

  • Fusion of supervised and unsupervised learning for improved classification of hyperspectral images

    Naif Alajlan;Yakoub Bazi;Farid Melgani;Ronald R. Yager

  • Mechanical responses of pristine and defective C3N nanosheets studied by molecular dynamics simulations

    A.H.N. Shirazi;R. Abadi;M. Izadifar;N. Alajlan

  • Land-Use Classification With Compressive Sensing Multifeature Fusion

    Mohamed L. Mekhalfi;Farid Melgani;Yakoub Bazi;Naif Alajlan

  • Simple Yet Effective Fine-Tuning of Deep CNNs Using an Auxiliary Classification Loss for Remote Sensing Scene Classification

    Yakoub Bazi;Mohamad Mahmoud Al Rahhal;Haikel Al-Hichri;Naif Alajlan

Frequent Co-Authors

Yakoub Bazi
Yakoub Bazi King Saud University
Ronald R. Yager
Ronald R. Yager Iona University
Farid Melgani
Farid Melgani University of Trento
Xiaoying Zhuang
Xiaoying Zhuang University of Hannover
Mohamed S. Kamel
Mohamed S. Kamel University of Waterloo
Harold S. Park
Harold S. Park Boston University
Hehua Zhu
Hehua Zhu Tongji University
Paul Fieguth
Paul Fieguth University of Waterloo
Aly A. Farag
Aly A. Farag University of Louisville

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