# Yonghang Tai

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/yonghang-tai/

## Facts

| Field | Value |
| --- | --- |
| Citations | 3,021 |
| Field | Surgical Simulation and Training |
| h-index | 26 |
| i10-index | 51 |
| Last Known Institution | Yunnan Normal University |
| OpenAlex ID | https://openalex.org/A5049712745 |
| ORCID iD | 0000-0001-9186-475X |
| Works | 141 |

## Researcher papers

- [Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks](https://scholariq.org/papers/hourly-forecasting-of-solar-irradiance-based-on-ceemdan-and-multi-strategy-cnn/)
- [Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives](https://scholariq.org/papers/cyber-threat-intelligence-mining-for-proactive-cybersecurity-defense-a-survey/)
- [Time series forecasting for hourly photovoltaic power using conditional generative adversarial network and Bi-LSTM](https://scholariq.org/papers/time-series-forecasting-for-hourly-photovoltaic-power-using-conditional/)
- [Hybrid deep neural model for hourly solar irradiance forecasting](https://scholariq.org/papers/hybrid-deep-neural-model-for-hourly-solar-irradiance-forecasting/)
- [Hourly stepwise forecasting for solar irradiance using integrated hybrid models CNN-LSTM-MLP combined with error correction and VMD](https://scholariq.org/papers/hourly-stepwise-forecasting-for-solar-irradiance-using-integrated-hybrid-models/)
- [Cyber Resilience in Healthcare Digital Twin on Lung Cancer](https://scholariq.org/papers/cyber-resilience-in-healthcare-digital-twin-on-lung-cancer/)
- [A novel method based on time series ensemble model for hourly photovoltaic power prediction](https://scholariq.org/papers/a-novel-method-based-on-time-series-ensemble-model-for-hourly-photovoltaic-power/)
- [Forecasting Hourly Solar Irradiance Using Hybrid Wavelet Transformation and Elman Model in Smart Grid](https://scholariq.org/papers/forecasting-hourly-solar-irradiance-using-hybrid-wavelet-transformation-and/)
- [Trustworthy and Intelligent COVID-19 Diagnostic IoMT Through XR and Deep-Learning-Based Clinic Data Access](https://scholariq.org/papers/trustworthy-and-intelligent-covid-19-diagnostic-iomt-through-xr-and-deep/)
- [Software Vulnerability Analysis and Discovery Using Deep Learning Techniques: A Survey](https://scholariq.org/papers/software-vulnerability-analysis-and-discovery-using-deep-learning-techniques-a/)
- [Implementation of a Virtual Reality Based Digital-Twin Robotic Minimally Invasive Surgery Simulator](https://scholariq.org/papers/implementation-of-a-virtual-reality-based-digital-twin-robotic-minimally/)

## Researcher topics

- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)
- [Solar Radiation and Photovoltaics](https://scholariq.org/topics/solar-radiation-and-photovoltaics/)
- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)
- [Soft Robotics and Applications](https://scholariq.org/topics/soft-robotics-and-applications/)
- [Augmented Reality Applications](https://scholariq.org/topics/augmented-reality-applications/)

## Researcher university

- [Yunnan Normal University](https://scholariq.org/institutions/yunnan-normal-university/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.