Chao Wang

ORCID: 0000-0003-2076-9493
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About
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Research Areas
  • Sustainable Supply Chain Management
  • Complex Systems and Time Series Analysis
  • Complex Network Analysis Techniques
  • Opinion Dynamics and Social Influence
  • Market Dynamics and Volatility
  • Recycling and Waste Management Techniques
  • Transportation and Mobility Innovations
  • Stock Market Forecasting Methods
  • Vehicle Routing Optimization Methods
  • Advanced Manufacturing and Logistics Optimization
  • Extraction and Separation Processes
  • Supply Chain Resilience and Risk Management
  • Industrial Vision Systems and Defect Detection
  • Environmental Impact and Sustainability
  • Evaluation and Optimization Models
  • Advanced Decision-Making Techniques
  • Optimization and Packing Problems
  • Transportation Planning and Optimization
  • Flow Measurement and Analysis
  • Evaluation Methods in Various Fields
  • Financial Risk and Volatility Modeling
  • Environmental Sustainability in Business
  • Supply Chain and Inventory Management
  • Energy Load and Power Forecasting
  • Municipal Solid Waste Management

Beijing University of Technology
2014-2025

Beijing Jiaotong University
2010-2025

Peking University
2009-2025

Tianjin University
2009-2024

Guangzhou HKUST Fok Ying Tung Research Institute
2023-2024

University of Hong Kong
2011-2024

University of Science and Technology of China
2024

The University of Sydney
2018-2024

Ocean University of China
2024

Anhui Jianzhu University
2024

Unpredictable stock market factors make it difficult to predict index futures. Although efforts develop an effective prediction method have a long history, recent developments in artificial intelligence and the use of neural networks increased our success nonlinear approximation. When we study financial markets, can now extract features from big data environment without prior predictive information. We here propose further improve this performance using combination deep-learning-based...

10.1109/access.2018.2859809 article EN cc-by-nc-nd IEEE Access 2018-01-01

The digital revolution is fundamentally reshaping the business landscape by generating abundant new opportunities and novel models. As a source of value creation, start‐up’s model critical for its survival growth. How, then, should start‐up design model? present study departs from existing viewpoints on topic proposes strategic orientation view. By integrating resource‐based view demand‐side perspective, we examine impact in performance start‐ups economy. Using data set start‐ups, our...

10.1111/jpim.12526 article EN Journal of Product Innovation Management 2020-04-29

Purpose The purpose of this study is to identify and prioritize the factors that can positively influence implementation a blockchain-based supply chain via an integrated framework. To best authors' knowledge, no previous has focused on prioritizing these factors. Design/methodology/approach First, conducts multivocal literature review, total 48 success (SFs) are identified mapped into 11 categories. Second, their categories further validated by industry practitioners using questionnaire...

10.1108/imds-04-2020-0194 article EN Industrial Management & Data Systems 2020-10-16

10.1016/j.ribaf.2023.102006 article EN Research in International Business and Finance 2023-06-03

Abstract Portable X‐ray imaging technology plays a crucial role in enabling prompt diagnosis and treatment outdoors. Nevertheless, the persistent challenge of external optical signal crosstalk poses significant bottleneck to its advancement. Herein, solution utilizing near‐infrared (NIR) light effectively mitigate is proposed, thereby demonstrating feasibility portable even under ambient light. A series rare earth ions doped Cs 2 Ag x Na 1‐x In y Bi 1‐y Cl 6 halide scintillators reported,...

10.1002/adfm.202401995 article EN Advanced Functional Materials 2024-03-22
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