Applied Intelligence

Papers
(The H4-Index of Applied Intelligence is 47. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
More effective and efficient exploration via more refined gradient information288
Exploiting semantic-level affinities with a mask-guided network for temporal action proposal in videos243
Transformer networks with adaptive inference for scene graph generation204
Revision of prioritized $$\mathcal {E}\mathcal {L}$$ ontologies163
High-density pedestrian detection algorithm based on deep information fusion151
HLC: hierarchically-aware label correlation for hierarchical text classification144
Aggregating knowledge-aware graph neural network and adaptive relational attention for recommendation137
A novel cognitive diagnosis system with attention residual mechanism and broad learning136
Spatio-temporal attention-based hybrid deep network for time series prediction of industrial process127
INNES: An intelligent network penetration testing model based on deep reinforcement learning121
Data augmented large language models for medical record generation114
Resolution-sensitive self-supervised monocular absolute depth estimation111
FeMIP: detector-free feature matching for multimodal images with policy gradient99
Deep Learning Architecture for Computer Vision-based Structural Defect Detection99
Group channel pruning and spatial attention distilling for object detection95
Membership score machine for highly nonlinear classification for small data87
Retraction Note: A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions87
Semantic-consistent learning for one-shot joint entity and relation extraction87
Recursive least squares method for training and pruning convolutional neural networks82
SenAttack: adversarial attack method based on perturbation sensitivity and perceptual color distance74
An evolutionary framework for automatic security guards deployment in large public spaces74
Diffeomorphic matching with multiscale kernels based on sparse parameterization for cross-view target detection70
Stochastic-simulation-based multi-attribute group decision-making method under uncertain environment and the application69
Broadcast news story segmentation using sticky hierarchical dirichlet process65
Detecting log anomaly using subword attention encoder and probabilistic feature selection65
Evolutionary many-objective satisfiability solver for configuring software product lines64
A parametric segmented multifactorial evolutionary algorithm based on a three-phase analysis64
Joint model- and immunohistochemistry-driven few-shot learning scheme for breast cancer segmentation on 4D DCE-MRI63
MsDA: Multi-scale domain adaptation dehazing network63
NkEL: nearest k-labelsets ensemble for multi-label learning62
Question difficulty estimation via enhanced directional modality association transformer61
Dictionary learning for unsupervised feature selection via dual sparse regression60
An efficient pruning and fine-tuning method for deep spiking neural network59
Solving the cooperative scheduling problem of muck transport under time-segment restriction in an entire region57
Visual enhanced hierarchical network for sentence-based video thumbnail generation57
Improving weakly supervised phrase grounding via visual representation contextualization with contrastive learning57
Graph neural networks with selective attention and path reasoning for document-level relation extraction52
LCLD: A lightweight vanishing point detector with contrast-learning-based intermediate supervision module51
Semantic-aware matrix factorization hashing with intra- and inter-modality fusion for image-text retrieval51
Integrated self-supervised label propagation for label imbalanced sets51
MSDM: multi-space diffusion with dynamic loss weight50
FGO-Net: Feature and Gaussian Optimization Network for visual saliency prediction50
A new deep learning-based approach for predicting the geothermal heat pump’s thermal power of a real bioclimatic house49
Enhancing real-time and day-ahead load forecasting accuracy with deep learning and weighed ensemble approach49
FAGCL: frequency-based augmentation graph contrastive learning for recommendation48
Imitation learning by state-only distribution matching48
HRANet: Hierarchical region-aware network for crowd counting47
Probabilistic linguistic hesitant fuzzy multi-attribute decision making for rural revitalization project selection of China47
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