Pattern Recognition Letters

Papers
(The H4-Index of Pattern Recognition Letters is 43. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Robust domain-adaptive discriminant analysis298
Towards a data-driven adaptive anomaly detection system for human activity164
Option compatible reward inverse reinforcement learning132
Predicting soluble solids content in “Fuji” apples of different ripening stages based on multiple information fusion130
Experiencing with electronic image stabilization and PRNU through scene content image registration120
Robust clustering algorithm: The use of soft trimming approach120
Revisiting convexity-preserving signal recovery with the linearly involved GMC penalty95
HashWalk: An efficient node classification method based on clique-compressed graph embedding92
Semantic-aware self-supervised depth estimation for stereo 3D detection89
EasyFuse: Easy-to-learn visible and infrared image fusion framework based on unpaired set88
Multi-dataset fusion for multi-task learning on face attribute recognition83
Detection of visual pursuits using 1D convolutional neural networks78
Dual quaternion ambisonics array for six-degree-of-freedom acoustic representation75
Performing Attack Halting Process with Digital Pattern and Proactive Model Resolving the Security Issues in IoT Based Models74
Multimodal grid features and cell pointers for scene text visual question answering73
Unsupervised thermal-to-visible domain adaptation method for pedestrian detection68
GFMRC: A machine reading comprehension model for named entity recognition68
Cross-attention based dual-similarity network for few-shot learning66
Entire-detail motion dual-branch network for micro-expression recognition66
OSS-OCL: Occlusion Scenario Simulation and Occluded-edge Concentrated Learning for pedestrian detection65
Extending the kinematic theory of rapid movements with new primitives65
Rethinking 3D cost aggregation in stereo matching64
AMGB: Trajectory prediction using attention-based mechanism GCN-BiLSTM in IOV64
CORE: A knowledge graph entity type prediction method via complex space regression and embedding62
Single-/Multi-Source Domain Adaptation via domain separation: A simple but effective method62
Innovative multi-modal approaches to Alzheimer’s disease detection: Transformer hybrid model and adaptive MLP-Mixer61
An analytic study on clustering driven self-supervised speaker verification59
CrossFormer: Cross-guided attention for multi-modal object detection56
A micro Reinforcement Learning architecture for Intrusion Detection Systems54
Pattern detection in the activation space for identifying synthesized content53
Salient object detection by aggregating contextual information51
A new DCT-PCM method for license plate number detection in drone images51
Task adaptive siamese neural networks for open-set recognition of encrypted network traffic with bidirectional dropout51
EEPNet: An efficient and effective convolutional neural network for palmprint recognition49
Effective semi-supervised learning for structured data using Embedding GANs49
Single image super-resolution using Wasserstein generative adversarial network with gradient penalty49
Unconstrained end-to-end text reading with feature rectification47
Iterative ridge regression using the aggregating algorithm47
A Hybrid Tucker-VQ Tensor Sketch decomposition model for coding and streaming real world light fields using stack of differently focused images47
Dual-stream correlation exploration for face anti-Spoofing46
Similarity activation map for co-salient object detection46
A novel ensemble model with two-stage learning for joint dialog act recognition and sentiment classification46
Attribute disentanglement with gradient reversal for interactive fashion retrieval44
Inter-separability and intra-concentration to enhance stochastic neural network adversarial robustness43
Enhancing visual adversarial transferability via affine transformation of intermediate-level perturbations43
Stochastic first-order learning for large-scale flexibly tied Gaussian mixture models43
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