Zhongjun Tang

Orcid: 0000-0002-0300-6198

According to our database1, Zhongjun Tang authored at least 15 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A three-stage quality evaluation method for experience products: taking animation as an example.
Multim. Syst., August, 2024

A Predictive Method for Weak Signal Evolution During New Product Development Based on an Improved Matter-Element Extension Model.
IEEE Trans. Engineering Management, 2024

A systematic literature review of weak signal identification and evolution for corporate foresight.
Kybernetes, 2024

2023
A movie box office revenue prediction model based on deep multimodal features.
Multim. Tools Appl., September, 2023

Complexity in the use of 5G technology in China: An exploration using fsQCA approach.
J. Intell. Fuzzy Syst., 2023

A two-stage deep graph clustering method for identifying the evolutionary patterns of the time series of animation view counts.
Inf. Sci., 2023

Box-office Revenue Prediction by Mining Deep Features from Movie Posters and Reviews Using Transformers.
Proceedings of the 6th International Conference on Artificial Intelligence and Pattern Recognition, 2023

2022
The influence of information configuration on mobile game download.
Internet Res., 2022

Optimal online channel structure for multinational firms considering live streaming shopping.
Electron. Commer. Res. Appl., 2022

2021
An empirical study of Chinese students' behavioral intentions to adopt 5G for smart-learning in Covid-19.
Smart Learn. Environ., 2021

Explaining mobile game takeoff through information configuration.
Ind. Manag. Data Syst., 2021

A total sales forecasting method for a new short life-cycle product in the pre-market period based on an improved evidence theory: application to the film industry.
Int. J. Prod. Res., 2021

2020
Nonlinear Dynamic Analysis of New Product Diffusion considering Consumer Heterogeneity.
Complex., 2020

2019
Film Box Office Forecasting Methods Based on Partial Least Squares Regression Model.
Proceedings of the 11th International Conference on Computer Modeling and Simulation, 2019

2009
Tools for a New Demand Forecasting Paradigm 'Individual Demand Forecasting'.
Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009


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