Computers & Graphics-UK

Papers
(The H4-Index of Computers & Graphics-UK is 24. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Erratum to “Stylized robotic clay sculpting” [Comput. Graph. 98 (2021) 150–164]155
Foreword to the special section on molecular graphics and visual analysis of molecular data (MolVA 2021)131
Editorial Board60
Structure-aware bottle cap art59
Foreword to Special Section on EuroVA 202151
Editorial Board50
Editorial Note49
Editorial Board48
Design and fabrication of multi-patch elastic geodesic grid structures46
Deep learning-based framework for Shape Instance Registration on 3D CAD models43
Adaptive module and accurate heatmap translator for multi-person human pose estimation35
Simple implementation and low computational cost simulation of curved folds based on ruling-aware triangulation35
Analyzing the effect of undermining on suture forces during simulated skin flap surgeries with a three-dimensional finite element method34
Poetry4painting: Diversified poetry generation for large-size ancient paintings based on data augmentation31
Visual saliency detection via a recurrent residual convolutional neural network based on densely aggregated features30
Foreword to special section on SIBGRAPI 202229
Polyhedron kernel computation using a geometric approach28
Hand-raising gesture detection in classroom with spatial context augmentation and dilated convolution27
Weighted guided image filtering with entropy evaluation weighting26
TDG-Diff: Advancing customized text-to-image synthesis with two-stage diffusion guidance24
TPVis: A visual analytics system for exploring test case prioritization methods24
Parametric 3D human modeling with biharmonic SMPL24
Design, evaluation and calibration of wearable electrotactile interfaces for enhancing contact information in virtual reality24
Topological analysis of density fields: An evaluation of segmentation methods24
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