Multiverse Optimization Algorithm Based on Lévy Flight Improvement for Multithreshold Color Image Segmentation. - Heming Jia; Xiaoxu Peng; Wenlong Song; Chunbo Lang; Zhikai Xing; Kangjian Sun (IEEE Access, 2019)

Hybrid Multiverse Optimization Algorithm With Gravitational Search Algorithm for Multithreshold Color Image Segmentation. - Heming Jia; Xiaoxu Peng; Wenlong Song; Chunbo Lang; Zhikai Xing; Kangjian Sun (IEEE Access, 2019)

A New Hybrid Seagull Optimization Algorithm for Feature Selection. - Heming Jia; Zhikai Xing; Wenlong Song (IEEE Access, 2019)

Modified Grasshopper Algorithm-Based Multilevel Thresholding for Color Image Segmentation. - Hongnan Liang; Heming Jia; Zhikai Xing; Jun Ma 030; Xiaoxu Peng (IEEE Access, 2019)

Multilevel Color Image Segmentation Based on GLCM and Improved Salp Swarm Algorithm. - Zhikai Xing; Heming Jia (IEEE Access, 2019)

3DPCNN based on whale optimization algorithm for color image segmentation. - Zhikai Xing; Heming Jia; Wenlong Song (J. Intell. Fuzzy Syst., 2019)

Three Dimensional Pulse Coupled Neural Network Based on Hybrid Optimization Algorithm for Oil Pollution Image Segmentation. - Heming Jia; Zhikai Xing; Wenlong Song (Remote. Sens., 2019)

An improved emperor penguin optimization based multilevel thresholding for color image segmentation. - Zhikai Xing (Knowl. Based Syst., 2020)

Modified thermal exchange optimization based multilevel thresholding for color image segmentation. - Zhikai Xing; Heming Jia (Multim. Tools Appl., 2020)

An improved thermal exchange optimization based GLCM for multi-level image segmentation. - Zhikai Xing; Heming Jia (Multim. Tools Appl., 2020)

Many-objective multilevel thresholding image segmentation for infrared images of power equipment with boost marine predators algorithm. - Zhikai Xing; Yigang He (Appl. Soft Comput., 2021)

MODB: a comprehensive mitochondrial genome database for Mollusca. - Jiangyong Qu; Yanran Xu; Yutong Cui; Sen Wu 011; Lijun Wang; Xiumei Liu; Zhikai Xing; Xiaoyu Guo; Shanshan Wang; Ruoran Li; Xiaoyue Sun; Xiang Li; et al. (Database J. Biol. Databases Curation, 2021)

Fault Detection for Wind Turbine System Using Fractional Extended Dispersion Entropy and Cumulative Sum Control Chart. - Kaixuan Shao; Yigang He; Xiaoyan Liu; Zhikai Xing; Bolun Du (IEEE Trans. Instrum. Meas., 2022)

Multibranch 1-D CNN Based on Attention Mechanism for the DAB Converter Fault Diagnosis. - Yingying Zhao; Yigang He; Zhikai Xing; Yongsheng Fu; Jianfei Chen; Bolun Du; Lei Wang 147 (IEEE Trans. Instrum. Meas., 2022)

An Online Open-Switch Fault Diagnosis Method for the DAB Converter Based on Multimodal Fusion Neural Controlled Differential Equations. - Zhikai Xing; Jianfei Chen; Yingying Zhao; Yongsheng Fu; Yigang He; Weiwei Zhang (IEEE Trans. Instrum. Meas., 2023)

Distribution recurrence plots and measures: Effective signal analysis tools for fault diagnosis of wind turbine drivetrain system. - Kaixuan Shao; Yigang He; Xiaole Hu; Pengpeng Li; Zhikai Xing; Yazhong Zhou; Leixiao Lei; Bolun Du (Adv. Eng. Informatics, 2023)

Detecting wind turbine anomalies using nonlinear dynamic parameters-assisted machine learning with normal samples. - Kaixuan Shao; Yigang He; Zhikai Xing; Bolun Du (Reliab. Eng. Syst. Saf., 2023)

Multimodal Mutual Neural Network for Health Assessment of Power Transformer. - Zhikai Xing; Yigang He (IEEE Syst. J., 2023)

An Online Multiple Open-Switch Fault Diagnosis Method for T-Type Three-Level Inverters Based on Multimodal Deep Residual Filter Network. - Zhikai Xing; Yigang He; Weiwei Zhang (IEEE Trans. Ind. Electron., 2023)

Vibration-Signal-Based Deep Noisy Filtering Model for Online Transformer Diagnosis. - Zhikai Xing; Yigang He; Xiao Wang 058; Jianfei Chen; Bolun Du; Liulu He; Xiaoyu Liu (IEEE Trans. Ind. Informatics, 2023)

Nonlinear Dynamic Analysis on Dual-Rotor-Bearing-Casing System for Marine Gas Turbine. - Zhikai Xing; Qiang Wang; Yongbao Liu; Mo Li; Xin Zhang (Complex., 2024)

A two-step image segmentation based on clone selection multi-object emperor penguin optimizer for fault diagnosis of power transformer. - Zhikai Xing; Yigang He (Expert Syst. Appl., 2024)

An Unsupervised Approach to Wind Turbine Blade Icing Detection Based on Beta Variational Graph Attention Autoencoder. - Lei Wang 147; Yigang He; Kaixuan Shao; Zhikai Xing; Yazhong Zhou (IEEE Trans. Instrum. Meas., 2024)

Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms. - Heming Jia; Chenghao Lu; Zhikai Xing (Swarm Evol. Comput., 2024)

Wireless Vibration Signal Prediction of Power Transformers Based on Contrastive Adversarial Sparse Model. - Zhikai Xing; Yigang He; Jianfei Chen; Xiao Wang 058 (IEEE Trans. Ind. Electron., 2024)

Physics-Informed LSTM-Based Time-Series Forecasting Model for Power Transformers. - Leixiao Lei; Yigang He; Zhikai Xing; Zihao Li; Yazhong Zhou (IEEE Trans. Ind. Informatics, 2025)

An Unsupervised Approach to Power Transformer Early Fault Warning Based on PMCAEN and SVDD. - Yazhong Zhou; Yigang He; Zhikai Xing; Lei Wang 147; Kaixuan Shao; Liulu He; Chenran Zhang; Wenyue Li (IEEE Trans. Ind. Informatics, 2025)