OOIR: Observatory of International Research

Papers

(The H4-Index of Neurocomputing is 87. 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 2022-08-01 to 2026-08-01.)

Article	Citations
Special Issue SOCO 2021: New trends in soft computing and its application in industrial and environmental problems	1856
Overcoming the Price of Anarchy by Steering with Recommendations	1527
Learning hierarchical image feature for efficient image rectification	1081
Editorial Board	1024
Motion frequency exploration based force separator for surgical robots interacting with a beating heart	700
PaintDiffusion: Towards text-driven painting variation via collaborative diffusion guidance	392
Spatiotemporal semantic structural representation learning for image sequence prediction	319
Debate divides: Argument relation-based contrastive opinion summarization via multi-task learning for online discussions	317
Kernel clustering with automatic variable weighting for interval data	290
MDVL-Edit: Mask-assisted highly disentangled text-driven face image editing based on vision-language alignment	282
Model compression through distillation with cross-layer integrated guidance at word level	276
Network based on the synergy of knowledge and context for natural language inference	275
Mining confident supervision by prototypes discovering and annotation selection for weakly supervised semantic segmentation	274
Ensemble strategy learning for imperfect information games	251
Editorial Board	249
Adaptive map matching based on dynamic word embeddings for indoor positioning	242
A new robust semi-supervised clustering method based on adaptive credibility estimation and locality preservation	238
Focus on hierarchical features: Soft-weighted hierarchical features network	238
Adaptive modeling of systems with uncertain dynamics via continuous long-short term memories	227
Class-prior probability estimation using density ratio between unlabeled instances and positively labeled noisy instances	222
AEP: Aligning knowledge graphs via embedding propagation	216
A new feature selection method based on importance measures for crude oil return forecasting	198
Sensitivity-propagated dual-frequency graph neural network for multivariate time series forecasting	196
Dual-alignment cross-domain few-shot learning with lightweight domain-specific attention for hyperspectral image classification	193
Bidirectional parallel multi-layer multi-scale hybrid network	189

Corrigendum to “S2F: Border peeling clustering from cluster skeletons to final clusters”[Neurocomputing 654 (2025), 131324]	181
Editorial Board	180
Spatio-temporal tree attention network for forecasting traffic flow	178
The unsupervised sequential bio-tomographic image registration method based on deep wavelet transform and manifold symmetry constraints	166
CRG-HG: A contrastive-regularized generative framework for heterogeneous graph learning	162
MNSeg: Mamba-based 3D neuron segmentation integrated with bidirectional attention mechanism and topological loss	162
A novel recurrent neural network with robust learning algorithm: Application to modeling of nonlinear complex systems	161
Visual attention-based siamese CNN with SoftmaxFocal loss for laser-induced damage change detection of optical elements	158
Multi-model-based transferable and imperceptible 3D adversarial attack	156
Quantile pattern regression using twin extreme learning machines with smooth pinball loss	153
A fisher score-based multi-instance learning method assisted by mixture of factor analysis	151
SPNet: Semantic preserving network with semantic constraint and non-semantic calibration for color constancy	142
Learning-based sliding mode control of discrete markov jump systems with actuator faults via action-critic-disturbance neural network approach	140
DARTS-AM: robustifying differentiable neural architecture selection with attribution magnitude	140
Retraction notice to “Distilled and filtered deep neural networks for real-time object detection in edge computing” [Neurocomputing 505 (2022) 225–237]	140
Unveiling distinguishing properties of adversarial examples through neural tangent kernels	138
Continual few-shot relation extraction via multi-task balanced dual-branch network	134
Evaluating automatic label noise detection in 3D segmentation with realistic label noise	133
An enhanced structural developmental neural network with information saturation for continual unsupervised learning	133
Depth-aware sparse queries for efficient multi-view BEV perception	132
KDADGNet: A data augmentation and knowledge distillation-based technique for enhancing domain generalization in imagined typing	130
Depression risk recognition based on gait: A benchmark	128
CSubBT: A modular execution framework with self-adjusting capability for mobile manipulation system	122
Robust semantic reconstruction for weakly supervised multi-label learning	121
A novel TSK fuzzy system incorporating multi-view collaborative transfer learning for personalized epileptic EEG detection	120
Mean-square bipartite synchronization of coopetition neural networks under pinning sampled-data and deception attacks: Designing interval-dependent looped-function	120
Precise crop classification of UAV hyperspectral imagery using kernel tensor slice sparse coding based classifier	119
Observer-based H∞<	118
Bidirectional neural network for trajectory planning: An application to medical emergency vehicle	118
Semi-supervised semantic segmentation with cross teacher training	117
Small sample hyperspectral image classification based on spiking re-parameterization and multi-discriminator adversarial	115
CDNE: Community deception from node and edge perspectives	114
MKE-PLLM: A benchmark for multilingual knowledge editing on pretrained large language model	113
A review of image-based sensorless force estimation in robotic-assisted medical interventions	112
The roles of internal dynamics and proprioceptive feedback in motor cortex during movement execution	111
Edge-centric community hiding based on permanence in attributed networks	107
Dynamical analysis of fractional-order fully complex-valued uncertain competitive neural networks and its application in image privacy protection	107
Style-adaptive detection transformer for single-source domain generalized object detection	106
Edge Feature Empowered Graph Attention Network for Sum Rate Maximization in Heterogeneous D2D Communication System	104
Learning to localize image forgery using end-to-end attention network	104
The consistency analysis of gradient learning under independent covariate shift	103
Adaptive lightweight network construction method for Self-Knowledge Distillation	102
A substructure transfer reinforcement learning method based on metric learning	101
Salient instance segmentation with region and box-level annotations	101
iCGPN: Interaction-centric graph parsing network for human-object interaction detection	100
GradCa: Generalizing to unseen domains via gradient calibration	99
Graph-constructed adaptive semantic fusion for heterophilic graph contrastive learning	97
A more compact object detector head network with feature enhancement and relational reasoning	97
Enhancing randomized recurrent neural networks with explainable attribution methods	97
Text-to-image person re-identification via collaborating pre-trained diffusion and discriminative models	96

BR Net: A novel deep learning model guided by brain region features for decoding single-trial visual EEG signals	96
Clip4Vis: Parameter-free fusion for multimodal video recognition	95
A survey of neural signal decoding based on domain adaptation	95
Fine-grained image classification driven by Gaussian sampling and metric learning	95
Facial sketch synthesis with multi-level guided latent diffusion model	92
Kernel-based learning of orthogonal functions	92
Classification of Native and non-native songs, neutral music, and resting state of human brain from EEG-based auditory evoked potential using explainable features	91
Degradation-adaptive attack-robust self-supervised facial representation learning	91
Dual-responder and dynamic dual-routing: LoRA-based safety–availability synergy for large language models	89
A growing concept history of recurring classifiers for high-frequency data streams	88
Fractional gannet humming optimization enabled deep convolutional neural network for detection and segmentation of skin cancer	87
ZNN for time-variant nonlinear inequality systems: A finite-time solution	87
Toward more generalizable time-series outlier detection in large-volume manufacturing via contextual convolution	87