Jinghua Zhao

According to our database, Jinghua Zhao authored at least 19 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Research on sentiment classification of futures predictive texts based on BERT.

Xiaofeng Weng, Jinghua Zhao, Chenxi Jiang, Yiying Ji

Computing, December, 2024

Federated Learning-Inspired User Personality Prediction Using Sentiment Analysis and Topic Preference.

Jinghua Zhao, Jiale Zhao, Chenxin Chi, Chengyin Wang, Xiaohua Zhao, Amar Jain

IEEE Trans. Consumer Electron., February, 2024

Special Issue on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT2022).

Jinghua Zhao

Neural Comput. Appl., February, 2024

Exploring the evolutionary game of rumor control based on prospect theory.

Jinghua Zhao, Ting Lan, Haiying Rong, Shanshan Liu

Neural Comput. Appl., 2024

2023

Multi-attribute decision-making based on data mining under a dynamic hybrid trust network.

Jinghua Zhao, Rong Haiying

Comput. Ind. Eng., November, 2023

Information diffusion prediction based on cascade sequences and social topology.

Jinghua Zhao, Jiale Zhao, Feng Juan

Comput. Electr. Eng., August, 2023

Special issue on 2021 international conference on machine learning and big data analytics for iot security and privacy.

Jinghua Zhao

Neural Comput. Appl., 2023

2022

Modeling and simulation of microblog-based public health emergency-associated public opinion communication.

Jinghua Zhao, Huihong He, Xiaohua Zhao, Jie Lin

Inf. Process. Manag., 2022

User-interactive innovation knowledge acquisition model based on social media.

Da-Lin Zeng, Jinghua Zhao, Wei Zhang, Yan Zhou

Inf. Process. Manag., 2022

2021

Simulation and modeling of microblog-based spread of public opinions on emergencies.

Jing-hua Zhao, Da-Lin Zeng, Jiang-Tao Qin, Hong-Ming Si, Xiao-Fang Liu

Neural Comput. Appl., 2021

Special issue on 2020 international conference on machine learning and big data analytics for IoT security and privacy (SPIoT-2020).

Jinghua Zhao, Qingyuan Zhou

Neural Comput. Appl., 2021

Special issue on intelligent computing methodologies in machine learning for IoT applications.

Jinghua Zhao, Junyu Xuan

Neural Comput. Appl., 2021

Prediction model for stock price trend based on recurrent neural network.

Jinghua Zhao, Da-Lin Zeng, Shuang Liang, Huilin Kang, Qinming Liu

J. Ambient Intell. Humaniz. Comput., 2021

2020

User personality prediction based on topic preference and sentiment analysis using LSTM model.

Jinghua Zhao, Da-Lin Zeng, Yujie Xiao, Liping Che, Mengjiao Wang

Pattern Recognit. Lett., 2020

Government subsidies-based profits distribution pattern analysis in closed-loop supply chain using game theory.

Jinghua Zhao, Na Sun

Neural Comput. Appl., 2020

Prediction model for stock price trend based on convolution neural network.

Hongbo Lin, Jinghua Zhao, Shuang Liang, Huilin Kang

J. Intell. Fuzzy Syst., 2020

Logistics forum based prediction on stock index using intelligent data analysis and processing of online web posts.

Jinghua Zhao, Na Sun, Wanyun Cheng

J. Ambient Intell. Humaniz. Comput., 2020

Data mining of urban new energy vehicles in an intelligent government subsidy environment using closed-loop supply chain pricing model.

Jing-Hua Zhao, Da-Lin Zeng, Ting-Wei Zhou, Ze-Chao Zhu

Comput. Syst. Sci. Eng., 2020

Analysis of factors affecting the profits of closed-loop supply chain members under different subsidy objects.

Jing-Hua Zhao, Da-Lin Zeng, Ting-Wei Zhou, Yan Hui, Na Sun

Comput. Syst. Sci. Eng., 2020