OOIR: Observatory of International Research

Papers

(The H4-Index of Engineering Applications of Artificial Intelligence is 84. 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 2021-08-01 to 2025-08-01.)

Article	Citations
Deep reinforcement learning optimizer based novel Caputo fractional order sliding mode data driven controller	1278
Hypergraph temporal multi-behavior recommendation	631
Dynamic-balanced double-attention fusion for image captioning	518
A new data fusion driven-sparse representation learning method for bearing intelligent diagnosis in small and unbalanced samples	440
An enhanced deep reinforcement learning approach for efficient, effective, and equitable disaster relief distribution	337
Benchmarking deep Facial Expression Recognition: An extensive protocol with balanced dataset in the wild	254
Towards machinery incremental fault diagnosis based on inverted transformer lifelong learning with learnable pruning mechanism	248
Feature-based deep neural network approach for predicting mortality risk in patients with COVID-19	213
Inference and analysis of a new evidential reasoning rule-based performance evaluation model	211
Self-localization based on terrestrial and satellite semantics	200
Two-stage fuzzy object grasping controller for a humanoid robot with proximal policy optimization	193
SATPAS: SINR-based adaptive transmission power assignment with scheduling in wireless sensor network	191
Vibration suppression of ball-screw drive system based on flexible dynamics model	182
An enhanced failure mode and effect analysis method based on preference disaggregation in risk analysis of intelligent wearable medical devices	180
Editorial Board	175
Variational learning to rank for Test Case Prioritization via prioritizing metric inspired differentiable loss	174
Research on reflective clothing recognition algorithm based on combining omni-dimensional dynamic convolution and partial convolution	170
Advancing fault diagnosis in industrial systems: The power of V-nets for managing complex event sequences	168
Applying deep learning and automated machine learning for enhanced state monitoring and health assessment of high-pressure heater in thermal power units	166
Efficient extended-graph multi-matrices subspace learning: Toward meta-similarity and efficiency promotion	156
Data-driven optimization for enhanced excavation efficiency in tunnel construction: A case study	152
A Pythagorean language neutrosophic set method for the evaluation of water pollution control technology in pulp and paper industry	151
A reputation-aided negotiation mechanism for multi-agent society based on blockchain	149
Three-stage unsupervised learning approach fusing novel pseudo-label diffusion and math-physics translating for real-time structural damage detection	146
A deep sequence-to-sequence model for power swing blocking of distance protection in power transmission lines	139

Investigate dual chiller characteristics and improve the performance by integrating machine learning and genetic algorithms	138
Event-triggered predefined-time tracking control for high-order nonlinear systems with time-varying actuator failures and uncertain disturbances	137
Dual-stage dynamic hierarchical attention framework for saliency-aware explainable diabetic retinopathy grading	137
The promise of convolutional neural networks for the early diagnosis of the Alzheimer’s disease	136
GFBLS: Graph-regularized fuzzy broad learning system for detection of interictal epileptic discharges	135
Dynamically Adaptive Deformable Feature Fusion for multi-scale character detection in ancient documents	135
Improving question answering performance using knowledge distillation and active learning	133
Dual-stream feature fusion network for person re-identification	133
A distance and cosine similarity-based fitness evaluation mechanism for large-scale many-objective optimization	132
Cross-attention interaction learning network for multi-model image fusion via transformer	130
Deep learning assisted physics-based modeling of aluminum extraction process	128
Riemann–Liouville fractional exponential sampling type neural network Kantorovich operators	126
Fault diagnosis of real-scenario battery systems in electric vehicles using the multi-scale fuzzy entropy algorithm	126
Co-optimizing for task performance and energy efficiency in evolvable robots	125
Visual localization on point and line combination in dynamic environments	125
EPT: A data-driven transformer model for earthquake prediction	124
Medical hyperspectral image classification based weakly supervised single-image global learning network	124
Agent-based hybrid tabu-search heuristic for dynamic scheduling	122
Forecasting train travel times of China–Europe Railway Express through a hybrid deep learning model optimized with a bandit-based approach	121
A novel health indicator by dominant invariant subspace on Grassmann manifold for state of health assessment of lithium-ion battery	120
Upper limb musculoskeletal model as path generator for control a virtual orthosis: A dynamic neural network approach	118
Power flow analysis via typed graph neural networks	118
AI based rice leaf disease identification enhanced by Dynamic Mode Decomposition	116
Multiple hierarchical compression for deep neural network toward intelligent bearing fault diagnosis	116
Information measures based on similarity under neutrosophic fuzzy environment and multi-criteria decision problems	114
A multi-population co-evolutionary algorithm for green integrated process planning and scheduling considering logistics system	112
Photovoltaic cell model parameter optimization using micro-charge field effect P systems	111
Novel machine intelligent expedition with adaptive autoregressive exogenous neural structure for nonlinear multi-delay differential systems in computer virus propagation	111
Quantum-inspired metaheuristic algorithms for Industry 4.0: A scientometric analysis	110
A new CNN-LSTM architecture for activity recognition employing wearable motion sensor data: Enabling diverse feature extraction	109
Research on uncertain multiple attribute decision making based on improved possibility degree relation model and its application	108
A virtual construction vehicles and workers dataset with three-dimensional annotations	103
Machine learning-driven feature importance appraisal of seismic parameters on tunnel damage and seismic fragility prediction	102
Hybrid deep-learning prediction model based on kernel multi-granularity fuzzy rough sets and its application in the diagnosis and treatment of chronic kidney disease	100
Emergency response scheme selection with T-spherical hesitant probabilistic fuzzy TODIM-TPZSG approach	100
High-dimensional data analytics in civil engineering: A review on matrix and tensor decomposition	100
Query-induced multi-task decomposition and enhanced learning for aspect-based sentiment quadruple prediction	99
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables	99
Hierarchical reinforcement learning with adaptive scheduling for robot control	99
Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data	98
A novel local enhanced channel self-attention based on Transformer for industrial remaining useful life prediction	98
Robust language independent voice data driven Parkinson’s disease detection	97
Towards open-world recognition: Critical problems and challenges	96
Crack Segmentation Network using Additive Attention Gate—CSN-II	95
FAST-AlertNet: Early warning fire-induced collapse of large-span steel truss structures	95
Δ-PINNs: Physics-informed neural networks on complex geometries	94
LiDAR-camera fusion: Dual transformer enhancement for 3D object detection	94
Enabling temporal–spectral decoding in multi-class single-side upper limb classification	93
Fire detection in video surveillances using convolutional neural networks and wavelet transform	92
Quantum deep reinforcement learning for rotor side converter control of double-fed induction generator-based wind turbines	91

Novel Aczel-Alsina operations-based linguistic Z-number aggregation operators and their applications in multi-attribute group decision-making process	90
Error model-oriented vibration suppression control of free-floating space robot with flexible joints based on adaptive neural network	89
Natural gas pipeline leak diagnosis based on manifold learning	88
Exploiting global and instance-level perceived feature relationship matrices for 3D face reconstruction and dense alignment	86
Optimization and implementation of a photovoltaic pumping system using the sine–cosine algorithm	86
Deploying data analytics models in asset administration shells: Energy prediction in manufacturing	86
A comprehensive wind speed prediction system based on intelligent optimized deep neural network and error analysis	85
Res-HSA: Residual hybrid network with self-attention mechanism for RUL prediction of rotating machinery	85
Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation	84