SPIDER: Software for Protein Identification from Sequence Tags with De Novo Sequencing Error. - Yonghua Han; Bin Ma 002; Kaizhong Zhang (CSB, 2004)

An automata approach to match gapped sequence tags against protein database. - Yonghua Han; Bin Ma 002; Kaizhong Zhang (Int. J. Found. Comput. Sci., 2005)

Spider: Software for Protein Identification from Sequence Tags with de Novo Sequencing Error. - Yonghua Han; Bin Ma 002; Kaizhong Zhang (J. Bioinform. Comput. Biol., 2005)

Automated protein (re)sequencing with MS/MS and a homologous database yields almost full coverage and accuracy. - Xiaowen Liu; Yonghua Han; Denis Yuen; Bin Ma 002 (Bioinform., 2009)

Risk evaluation of urban water distribution network pipes using neural network. - Yanying Yang; Yonghua Han; Jianchun Zheng; Jingjing Wang; Ming Zhao; Wei Zhu (EM-GIS@SIGSPATIAL, 2018)

The Hierarchies of Multivalued Attribute Domains and Corresponding Applications in Data Mining. - Yuxia Lei; Yushu Yan; Yonghua Han; Feng Jiang (Wirel. Commun. Mob. Comput., 2018)

Target Image Mask Correction Based on Skeleton Divergence. - Yaming Wang; Zhengheng Xu; Wenqing Huang; Yonghua Han; Mingfeng Jiang (Algorithms, 2019)

Image super-resolution based on multi-grained cascade forests. - Yaming Wang; Zhikang Luo; Weqing Huang; Yonghua Han (Int. J. Wavelets Multiresolution Inf. Process., 2019)

Recognition of road cracks based on multi-scale Retinex fused with wavelet transform. - Shenao Liu; Yonghua Han; Lu Xu (Array, 2022)

Enhanced SCNN-Based Hybrid Spatial-Temporal Lane Detection Model for Intelligent Transportation Systems. - Jingang Li; Chenxu Ma; Yonghua Han; Haibo Mu; Lurong Jiang (IEEE Access, 2024)

Substation High-Voltage Switchgear Detection Based on Improved EfficientNet-YOLOv5s Model. - Ziang Sun; Yaojun Cui; Yonghua Han; Kejian Jiang (IEEE Access, 2024)

The influencing factors of green technology innovation in renewable energy companies based on hyper-network. - Hui Sun; Yan Yan; Yonghua Han (Energy Inform., 2024)

Aircraft Target Detection in Remote Sensing Images Based on Improved YOLOv7-Tiny Network. - Ruizhe Zhu; Hai Jin 004; Yonghua Han; Qiyang He; Haibo Mu (IEEE Access, 2025)