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
Deep Learning Architecture for Computer Vision-based Structural Defect Detection99
FeMIP: detector-free feature matching for multimodal images with policy gradient99
Group channel pruning and spatial attention distilling for object detection95
Semantic-consistent learning for one-shot joint entity and relation extraction87
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
Recursive least squares method for training and pruning convolutional neural networks82
An evolutionary framework for automatic security guards deployment in large public spaces74
SenAttack: adversarial attack method based on perturbation sensitivity and perceptual color distance74
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
A parametric segmented multifactorial evolutionary algorithm based on a three-phase analysis64
Evolutionary many-objective satisfiability solver for configuring software product lines64
MsDA: Multi-scale domain adaptation dehazing network63
Joint model- and immunohistochemistry-driven few-shot learning scheme for breast cancer segmentation on 4D DCE-MRI63
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
Improving weakly supervised phrase grounding via visual representation contextualization with contrastive learning57
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
Graph neural networks with selective attention and path reasoning for document-level relation extraction52
Semantic-aware matrix factorization hashing with intra- and inter-modality fusion for image-text retrieval51
Integrated self-supervised label propagation for label imbalanced sets51
LCLD: A lightweight vanishing point detector with contrast-learning-based intermediate supervision module51
FGO-Net: Feature and Gaussian Optimization Network for visual saliency prediction50
MSDM: multi-space diffusion with dynamic loss weight50
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
Imitation learning by state-only distribution matching48
FAGCL: frequency-based augmentation graph contrastive learning for recommendation48
Probabilistic linguistic hesitant fuzzy multi-attribute decision making for rural revitalization project selection of China47
HRANet: Hierarchical region-aware network for crowd counting47
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