Author

Xianqi Liao

Observed names: Liao, Xianqi, XianQi Liao

Institution: Jingdezhen Ceramic Institute

Observed institution: Jingdezhen Ceramic Institute

ORCID: 0009-0006-5139-2050

Observed ORCID: 0009-0006-5139-2050

OpenAlex ID: A5040112644

Detection method of Si3N4 bearing rollers point microcrack defects based on adaptive region growing segmentation

2024 · Dahai Liao, Jianfei Yang, et al. · Measurement · 10

Extraction of asymptotic edges of microcracks in silicon nitride bearings based on adaptive nonlocal mean filtering and iterative tracking algorithm

2024 · Xiang Ning, Lingfeng Yu, et al. · Measurement · 5

Defect enhancement method for ZrO2-bearing spherical surface representation based on complete defect stitching and self-defined background balancing algorithm

2023 · Tao Chen, Le Dong, et al. · Optics & Laser Technology · 5

A coupled 3D morphological reconstruction method for point microcrack defects in Si3N4 ceramic bearing rollers

2024 · Dahai Liao, Jianfei Yang, et al. · Composite Structures · 2

Research on welding trajectory planning for aviation Invar steel S-type mold based on multi-level trajectory fitting and adaptive connection

2025 · Dongling Yu, Xianqi Liao, et al. · Welding in the World · 1

A Wafer Microcircuit Defect Extraction Method Based on Weighted Fusion Enhancement and Adaptive Contour Segmentation

2026 · Tao Chen, Xianqi Liao, et al. · Silicon

Study on the Identification of Wavy Features of Si3N4 Wafer Microdamage With Improved K‐Means Clustering by Incorporating the Centroid Growth Mechanism

2026 · Dongling Yu, Xianqi Liao, et al. · Advanced Engineering Materials

The algorithm for extracting surface defects from ZrO2 ceramic bearing balls using shearlet transform image enhancement

2024 · Dahai Liao, Xin Xia, et al. · AIP Advances

A Coupling Enhancement Algorithm for ZrO2 Ceramic Bearing Ball Surface Defect Detection Based on Cartoon-texture Decomposition Model and Multi-Scale Filtering Method

2022 · Wang, Wei, Zhang, Xin, et al. · arXiv (Cornell University)

Works count: 9

Citation count: 23

H-index: 3

I10-index: 1