Pattern Analysis and Applications

Papers
(The H4-Index of Pattern Analysis and Applications is 19. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-10-01 to 2024-10-01.)
ArticleCitations
Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks1050
Automatic COVID-19 detection from X-ray images using ensemble learning with convolutional neural network142
A novel framework for rapid diagnosis of COVID-19 on computed tomography scans51
Approaches on crowd counting and density estimation: a review41
A new method of hybrid time window embedding with transformer-based traffic data classification in IoT-networked environment38
A new approach for generation of generalized basic probability assignment in the evidence theory37
Quantum convolutional neural network for image classification37
Explainable image classification with evidence counterfactual35
Coronavirus disease 2019 (COVID-19): survival analysis using deep learning and Cox regression model35
Neighborhood and center difference-based-LBP for face recognition35
Image matching based on the adaptive redundant keypoint elimination method in the SIFT algorithm34
Assessing Facial Symmetry and Attractiveness using Augmented Reality31
Dual image-based reversible fragile watermarking scheme for tamper detection and localization29
An improved small object detection method based on Yolo V328
Medical imaging technique using curvelet transform and machine learning for the automated diagnosis of breast cancer from thermal image26
Multimodal temporal machine learning for Bipolar Disorder and Depression Recognition24
Improved barnacles mating optimizer algorithm for feature selection and support vector machine optimization21
Automatic estimation of clothing insulation rate and metabolic rate for dynamic thermal comfort assessment19
RFCL: A new under-sampling method of reducing the degree of imbalance and overlap19
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