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A novel label-free biosensor for myocardial ischemia biomarker detection via CRISPR/12a Journal article
Liu, Chunping, Liu, Qiaojing, Chen, Xiaoling, Guo, Mingli, Chen, Zhijun, Zhao, Jiaxiong, Chen, Huiqi, Guo, Sien, Cen, Huan, Yao, Gengzhen, Chen, Lu, Wang, Yong, Yang, Phillip C., Wang, Lei, Chen, Feng. A novel label-free biosensor for myocardial ischemia biomarker detection via CRISPR/12a[J]. Biosensors and Bioelectronics, 2025, 270, 116954.
Authors:  Liu, Chunping;  Liu, Qiaojing;  Chen, Xiaoling;  Guo, Mingli;  Chen, Zhijun; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:10.7/9.9 | Submit date：2025/01/22
Myocardial Ischemia Diagnosis  Atp Detection  Point-of-care Diagnostics  Crispr/cas12a Biosensor  Inflammatory Cardiomyocytes  Real-time Atp Monitoring  
A comprehensive gear eccentricity dataset with multiple fault severity levels: Description, characteristics analysis, and fault diagnosis applications Journal article
Li, Jiaming, Chen, Hao, Wang, Xian Bo, Yang, Zhi Xin. A comprehensive gear eccentricity dataset with multiple fault severity levels: Description, characteristics analysis, and fault diagnosis applications[J]. Mechanical Systems and Signal Processing, 2025, 224, 112068.
Authors:  Li, Jiaming;  Chen, Hao;  Wang, Xian Bo;  Yang, Zhi Xin
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.9/8.0 | Submit date：2025/01/22
Fault Diagnosis  Condition Monitoring  Multi-sensor Data  Spur Gear  Runout  Gear Eccentricity Dataset  Spectrum Analysis  Saliency Analysis  
Enhancing explainability in medical image classification and analyzing osteonecrosis X-ray images using shadow learner system Journal article
Wu, Yaoyang, Fong, Simon, Liu, Liansheng. Enhancing explainability in medical image classification and analyzing osteonecrosis X-ray images using shadow learner system[J]. Applied Intelligence, 2025, 55(2), 137.
Authors:  Wu, Yaoyang;  Fong, Simon;  Liu, Liansheng
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.4/3.9 | Submit date：2025/01/22
Deep Learning  ExplAinable Ai  Neural Network  Computer-aid-diagnosis (Cad)  Medical Image Classification  Osteonecrosis  
Using system dynamics modeling approach to strengthen health systems to combat cancer: a systematic literature review Review article
2025
Authors:  Chen, Xianwen;  Cai, Kuangyuan;  Xue, Yan;  Ung, Carolina Oi Lam;  Hu, Hao; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.9/2.9 | Submit date：2025/01/22
Cancer Control  Cancer Diagnosis  Cancer Screening  Cancer Treatment  System Dynamics Modeling  
Prevalence of mental disorders and their associations with age at diagnosis and time since diagnosis of nasopharyngeal cancer Journal article
Wang, Wen Xuan, Wu, Yi Shan, Qi, Li Ping, Wu, Anise M.S., Zhu, Ying Ying, Gong, Wei Jie, Guo, Shan Shan, Hua, Yi Jun, Luo, Dong Hua, Chen, Qiu Yan, Xiang, Yan Qun, Zhang, Jin Xin, Mai, Hai Qiang, Li, Ji Bin. Prevalence of mental disorders and their associations with age at diagnosis and time since diagnosis of nasopharyngeal cancer[J]. Frontiers in Public Health, 2024, 12, 1469001.
Authors:  Wang, Wen Xuan;  Wu, Yi Shan;  Qi, Li Ping;  Wu, Anise M.S.;  Zhu, Ying Ying; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.0/3.6 | Submit date：2024/12/26
Nasopharyngeal Carcinoma  Depression  Anxiety  Sleep Disorders  Age At Diagnosis  Time Since Diagnosis  
Exploring the clinical implications and applications of exosomal miRNAs in gliomas: a comprehensive study Journal article
Yang, Liang, Niu, Zhen, Ma, Zhixuan, Wu, Xiaojie, Vong, Chi Teng, Li, Ge, Feng, Ying. Exploring the clinical implications and applications of exosomal miRNAs in gliomas: a comprehensive study[J]. Cancer Cell International, 2024, 24(1), 323.
Authors:  Yang, Liang;  Niu, Zhen;  Ma, Zhixuan;  Wu, Xiaojie;  Vong, Chi Teng; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2024/10/10
Diagnosis  Exosomal Micrornas  Glioma  Prognosis  Treatment  
Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder Journal article
Chen, Hao, Wang, Xian Bo, Yang, Zhi Xin, Li, Jia ming. Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder[J]. Expert Systems with Applications, 2024, 254, 124256.
Authors:  Chen, Hao;  Wang, Xian Bo;  Yang, Zhi Xin;  Li, Jia ming
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:7.5/7.6 | Submit date：2024/07/04
Federated Learning  Intelligent Fault Diagnosis  Stacked Capsule Autoencoder  Wind Turbine  
Deep Learning based Intelligent Tumor Analytics Framework for Quantitative Grading and Analyzing Cancer Metastasis: Case of Lymph Node Breast Cancer Journal article
Li, Tengyue, Fong, Simon, Wu, Yaoyang, Zhang, Xin, Song, Qun, Qin, Huafeng, Mohammed, Sabah, Feng, Tian, Gao, Juntao, Sciarrone, Andrea. Deep Learning based Intelligent Tumor Analytics Framework for Quantitative Grading and Analyzing Cancer Metastasis: Case of Lymph Node Breast Cancer[J]. IEEE Transactions on Emerging Topics in Computing, 2024, 1 - 16.
Authors:  Li, Tengyue;  Fong, Simon;  Wu, Yaoyang;  Zhang, Xin;  Song, Qun; et al.
Favorite | TC[Scopus]:0  IF:5.1/4.5 | Submit date：2024/12/05
Metastasis Assessment  Cancer Diagnosis  Intelligent Tumor Analytics (Ita)  Deep Learning  Histopathological Imaging  Tumor Grading Standards  
Wind Turbine Fault Diagnosis for Class-Imbalance and Small-size Data based on Stacked Capsule Autoencoder Journal article
Wang, Xianbo, Chen, Hao, Zhao, Jing, Song, Chonghui, Zhang, Yongkang, Yang, Zhixin, Wong, Pak Kin. Wind Turbine Fault Diagnosis for Class-Imbalance and Small-size Data based on Stacked Capsule Autoencoder[J]. IEEE Transactions on Industrial Informatics, 2024, 20(11), 12694-12704.
Authors:  Wang, Xianbo;  Chen, Hao;  Zhao, Jing;  Song, Chonghui;  Zhang, Yongkang; et al.
Adobe PDF | Favorite | TC[WOS]:5 TC[Scopus]:5  IF:11.7/11.4 | Submit date：2024/08/25
Deep Learning  Fault Diagnosis  Feature Learning  Stacked Capsule Autoencoder (Scae)  Wind Turbine  
Federated learning using model projection for multi-center disease diagnosis with non-IID data Journal article
Du, Jie, Li, Wei, Liu, Peng, Vong, Chi Man, You, Yongke, Lei, Baiying, Wang, Tianfu. Federated learning using model projection for multi-center disease diagnosis with non-IID data[J]. Neural Networks, 2024, 178, 106409.
Authors:  Du, Jie;  Li, Wei;  Liu, Peng;  Vong, Chi Man;  You, Yongke; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:6.0/7.9 | Submit date：2024/07/04
Catastrophic Forgetting  Federated Learning  Invalid Aggregation  Multi-center Disease Diagnosis  Non-iid Data