OOIR: Observatory of International Research

Papers

(The H4-Index of Computer-Aided Civil and Infrastructure Engineering is 43. 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 2021-12-01 to 2025-12-01.)

Article	Citations
Response to discussion on “Simultaneous Optimization of 3‐D Alignments and Station Locations for Dedicated High‐Speed Railways,” Computer‐Aided Civil and Infrastructure Engineering, 37:4, March	176
Introduction	130
	119
Issue Information ‐ TOC	96
Issue Information	96
Issue Information	90
Cover Image, Volume 40, Issue 19	88
Genetic algorithm optimized frequency‐domain convolutional blind source separation for multiple leakage locations in water supply pipeline	85
Parallel heterogeneous data‐fusion convolutional neural networks for improved rail bridge strike detection	84
Aggregation formulation for on‐site multidepot vehicle scheduling scenario	77
Cover Image, Volume 39, Issue 7	75
Cover Image, Volume 37, Issue 14	72
Cover Image, Volume 38, Issue 5	71
Cover Image, Volume 38, Issue 9	71
Cover Image, Volume 39, Issue 7	69
	69
A dynamic neural network model for the identification of asbestos roofings in hyperspectral images covering a large regional area	68
Multi‐stage detection of warped ceiling panel using ensemble vision models for automated localization and quantification	66
Vision‐based fatigue crack automatic perception and geometric updating of finite element model for welded joint in steel structures	64
Deep generative Bayesian optimization for sensor placement in structural health monitoring	62
A hierarchical progressive recognition network for building change detection in high‐resolution remote sensing images	59
A structure‐oriented loss function for automated semantic segmentation of bridge point clouds	58
Geoacoustic and geophysical data‐driven seafloor sediment classification through machine learning algorithms with property‐centered oversampling techniques	56
Using machine learning to analyze and predict construction task productivity	54
Infrastructure deterioration modeling with an inhomogeneous continuous time Markov chain: A latent state approach with analytic transition probabilities	54

Aeroelastic force prediction via temporal fusion transformers	54
Issue Information	53
A deep learning framework based on improved self‐supervised learning for ground‐penetrating radar tunnel lining inspection	53
Rapid regional assessment of post‐hazard structures and transportation infrastructure using aerial images	53
Tiny‐Crack‐Net: A multiscale feature fusion network with attention mechanisms for segmentation of tiny cracks	53
An automation solution to convert CAD engineering drawings into railroad station models	51
Issue Information	51
Cover Image, Volume 39, Issue 6	50
Cover Image, Volume 39, Issue 16	49
An adversarial diverse deep ensemble approach for surrogate‐based traffic signal optimization	48
Issue Information	47
Issue Information	47
Training of construction robots using imitation learning and environmental rewards	47
Cover Image, Volume 40, Issue 20	47
	45
	45
Damage‐level classification considering both correlation between image and text data and confidence of attention map	45
Deep spatial‐temporal embedding for vehicle trajectory validation and refinement	44
Multi‐objective optimization of nonlinear passive control systems for seismic response mitigation of bridges	43
Integrating triple attention convolutional network with multi‐objective optimization for excavation‐induced deformation prediction	43