Skip to menu Skip to content Skip to footer

2025

Journal Article

Non-destructive Prediction of Apple Firmness by Acoustic-Vibrational Signal Ridge Regression Analysis

Wang, Ranran, Kong, Xianglu, Zhang, Bohua, Fan, Qi, Wang, Dong and Cui, Dongdong (2025). Non-destructive Prediction of Apple Firmness by Acoustic-Vibrational Signal Ridge Regression Analysis. Applied Fruit Science, 67 (5) 318. doi: 10.1007/s10341-025-01537-x

Non-destructive Prediction of Apple Firmness by Acoustic-Vibrational Signal Ridge Regression Analysis

2025

Journal Article

Multiple stimuli-responsive dual-emission material with locked diverse conformations for multimodal anti-counterfeiting and single-molecule white electroluminescence

Zhang, BoHua, Liu, SiQi, Pei, JiangXue, Wang, ZhiQiang, Chen, Yi, Jia, QingYu, Hao, ChaoBo, Lei, XiPing, Wu, ZhaoXin, Yang, ZhiYong, Zhou, GuiJiang and Wang, DongDong (2025). Multiple stimuli-responsive dual-emission material with locked diverse conformations for multimodal anti-counterfeiting and single-molecule white electroluminescence. Chemical Engineering Journal, 513 162788, 1-14. doi: 10.1016/j.cej.2025.162788

Multiple stimuli-responsive dual-emission material with locked diverse conformations for multimodal anti-counterfeiting and single-molecule white electroluminescence

2025

Journal Article

Engineered nanoparticles potentials in male reproduction

Zhao, Feifei, Fan, Mengyu, Jing, Zhiyang, Zhang, Yanxu, Wang, Yanlin, Zhou, Congli, Liu, Yang, Aitken, Robert John and Xia, Xue (2025). Engineered nanoparticles potentials in male reproduction. Andrology, 13 (4), 694-705. doi: 10.1111/andr.13729

Engineered nanoparticles potentials in male reproduction

2024

Journal Article

SOGCN: prediction of key properties of MR-TADF materials using graph convolutional neural networks

Li, Yingfu, Zhang, Bohua, Ren, Aimin, Wang, Dongdong, Zhang, Jun, Nie, Changming, Su, Zhongmin and Zou, Luyi (2024). SOGCN: prediction of key properties of MR-TADF materials using graph convolutional neural networks. Chemical Engineering Journal, 501 157676, 1-14. doi: 10.1016/j.cej.2024.157676

SOGCN: prediction of key properties of MR-TADF materials using graph convolutional neural networks

2024

Journal Article

Multi-objective optimization of heat transfer performance of H-type fin with vortex generator based on NSGA-II

Wang, Zhen, Wang, Yanlin, Yang, Laishun, Cui, Yi, Dong, Ao, Lv, Yonghong and Yue, Guangxi (2024). Multi-objective optimization of heat transfer performance of H-type fin with vortex generator based on NSGA-II. Applied Thermal Engineering, 256 124082. doi: 10.1016/j.applthermaleng.2024.124082

Multi-objective optimization of heat transfer performance of H-type fin with vortex generator based on NSGA-II

2024

Journal Article

Pool heat transfer studies of near-critical and supercritical carbon dioxide

Liu, Minyun, Liu, Shenghui, Huang, Yanping, Zheng, Ruohan, Yuan, Haohan, Wang, Jie, Gong, Houjun, Wang, Yanlin and Huang, Shanfang (2024). Pool heat transfer studies of near-critical and supercritical carbon dioxide. International Journal of Heat and Mass Transfer, 229 125669. doi: 10.1016/j.ijheatmasstransfer.2024.125669

Pool heat transfer studies of near-critical and supercritical carbon dioxide

2024

Journal Article

LiCl掺杂PEDOT∶PSS提高蓝光量子点发光二极管的性能 Performance enhancement of blue quantum dot light-emitting diodes via LiCl doped PEDOT:PSS

Wang, Yanlin, Cao, Song, Yu, Chunyan, Zhou, Litong and Zhai, Guangmei (2024). LiCl掺杂PEDOT∶PSS提高蓝光量子点发光二极管的性能 Performance enhancement of blue quantum dot light-emitting diodes via LiCl doped PEDOT:PSS. Chinese Journal of Liquid Crystals and Displays, 39 (6), 771-780. doi: 10.37188/CJLCD.2024-0087

LiCl掺杂PEDOT∶PSS提高蓝光量子点发光二极管的性能 Performance enhancement of blue quantum dot light-emitting diodes via LiCl doped PEDOT:PSS

2023

Journal Article

Machine learning-based prediction of shear strength of steel reinforced concrete columns subjected to axial compressive load and seismic lateral load

Wang, Siyuan, Xu, Jinjun, Wang, Yanlin and Pan, Chunyu (2023). Machine learning-based prediction of shear strength of steel reinforced concrete columns subjected to axial compressive load and seismic lateral load. Structures, 56 104968, 1-19. doi: 10.1016/j.istruc.2023.104968

Machine learning-based prediction of shear strength of steel reinforced concrete columns subjected to axial compressive load and seismic lateral load

2023

Journal Article

Effect of interventional embolization based on absolute ethanol for peripheral arteriovenous malformations

Wang, Yanlin, Liu, Dakan, Xiao, Li, Zuo, Song, Ren, Tengfei, Dong, Changxian and Li, Tianxiao (2023). Effect of interventional embolization based on absolute ethanol for peripheral arteriovenous malformations. Biotechnology and Genetic Engineering Reviews, 40 (4), 4899-4910. doi: 10.1080/02648725.2023.2217617

Effect of interventional embolization based on absolute ethanol for peripheral arteriovenous malformations

2023

Journal Article

A critical review on methods for time-dependent structural reliability

Zhang, Bohua, Wang, Weigang, Wang, Yanlin, Li, Yueru and Li, Chun-Qing (2023). A critical review on methods for time-dependent structural reliability. Sustainable and Resilient Infrastructure, 9 (2), 91-106. doi: 10.1080/23789689.2023.2206297

A critical review on methods for time-dependent structural reliability

2023

Conference Publication

Time-variant reliability analysis of corroded steel girder

Wang, Y., Wang, W., Li, C. Q. and Yang, W. (2023). Time-variant reliability analysis of corroded steel girder. 8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023, Milan, Italy, 2-6 July 2023. London, United Kingdom: CRC Press. doi: 10.1201/9781003323020-395

Time-variant reliability analysis of corroded steel girder

2022

Journal Article

Identification of biomarkers by machine learning classifiers to assist diagnose rheumatoid arthritis-associated interstitial lung disease

Qin, Yan, Wang, Yanlin, Meng, Fanxing, Feng, Min, Zhao, Xiangcong, Gao, Chong and Luo, Jing (2022). Identification of biomarkers by machine learning classifiers to assist diagnose rheumatoid arthritis-associated interstitial lung disease. Arthritis Research and Therapy, 24 (1) 115. doi: 10.1186/s13075-022-02800-2

Identification of biomarkers by machine learning classifiers to assist diagnose rheumatoid arthritis-associated interstitial lung disease

2022

Journal Article

Reliability analysis of steel pipe with longitudinal corrosion damage considering elastoplastic fracture behaviour

Wang, Yanlin, Wang, Weigang, Zhang, Bohua, Li, Yueru and Li, Chun-Qing (2022). Reliability analysis of steel pipe with longitudinal corrosion damage considering elastoplastic fracture behaviour. International Journal of Pressure Vessels and Piping, 198 104676, 1-12. doi: 10.1016/j.ijpvp.2022.104676

Reliability analysis of steel pipe with longitudinal corrosion damage considering elastoplastic fracture behaviour

2022

Journal Article

Fracture resistance of naturally corroded steel after service for 128 years

Wang, Yanlin, Wang, Weigang, Zhang, Bohua, Zhao, Yi and Li, Chun-Qing (2022). Fracture resistance of naturally corroded steel after service for 128 years. Engineering Fracture Mechanics, 265 108367, 1-26. doi: 10.1016/j.engfracmech.2022.108367

Fracture resistance of naturally corroded steel after service for 128 years

2021

Journal Article

Fracture resistance characteristics of mild steel under mixed mode I-II loading

Wang, Yanlin, Wang, Weigang, Zhang, Bohua, Bian, Yadong and Li, Chun-Qing (2021). Fracture resistance characteristics of mild steel under mixed mode I-II loading. Engineering Fracture Mechanics, 258 108044, 1-26. doi: 10.1016/j.engfracmech.2021.108044

Fracture resistance characteristics of mild steel under mixed mode I-II loading

2021

Journal Article

A new method to determine fracture resistance curve of steel under various in-plane loading

Wang, Yanlin, Wang, Weigang, Zhang, Bohua and Li, Chun-Qing (2021). A new method to determine fracture resistance curve of steel under various in-plane loading. Engineering Fracture Mechanics, 248 107701, 1-16. doi: 10.1016/j.engfracmech.2021.107701

A new method to determine fracture resistance curve of steel under various in-plane loading

2021

Journal Article

A new method for determining the accurate J-R curves of steels

Gao, Hui, Li, Chun-Qing, Wang, Weigang, Wang, Yanlin and Zhang, Bohua (2021). A new method for determining the accurate J-R curves of steels. Fatigue & Fracture of Engineering Materials & Structures, 44 (6), 1533-1545. doi: 10.1111/ffe.13448

A new method for determining the accurate J-R curves of steels

2021

Journal Article

Failure prediction of buried pipe network with multiple failure modes and spatial randomness of corrosion

Wang, Weigang, Wang, Yanlin, Zhang, Bohua, Shi, Wenhai and Li, Chun-Qing (2021). Failure prediction of buried pipe network with multiple failure modes and spatial randomness of corrosion. International Journal of Pressure Vessels and Piping, 191 104367, 1-10. doi: 10.1016/j.ijpvp.2021.104367

Failure prediction of buried pipe network with multiple failure modes and spatial randomness of corrosion

2021

Journal Article

Topological Hall Effect in a Topological Insulator Interfaced with a Magnetic Insulator

Li, Peng, Ding, Jinjun, Zhang, Steven S-L, Kally, James, Pillsbury, Timothy, Heinonen, Olle G., Rimal, Gaurab, Bi, Chong, DeMann, August, Field, Stuart B., Wang, Weigang, Tang, Jinke, Jiang, Jidong Samuel, Hoffmann, Axel, Samarth, Nitin and Wu, Mingzhong (2021). Topological Hall Effect in a Topological Insulator Interfaced with a Magnetic Insulator. Nano Letters, 21 (1), 84-90. doi: 10.1021/acs.nanolett.0c03195

Topological Hall Effect in a Topological Insulator Interfaced with a Magnetic Insulator

2020

Journal Article

A modified normalization method for determining fracture toughness of steel

Gao, Hui, Wang, Weigang, Wang, Yanlin, Zhang, Bohua and Li, Chun-Qing (2020). A modified normalization method for determining fracture toughness of steel. Fatigue & Fracture of Engineering Materials & Structures, 44 (2), 568-583. doi: 10.1111/ffe.13380

A modified normalization method for determining fracture toughness of steel