Student at China University of Petroleum East China – Qingdao Campus, China
Dr. Chengjie Yang is a distinguished researcher with a robust academic foundation, holding a Bachelor’s degree in Accounting from the China University of Petroleum (East China), a Master’s in International Trade and Finance from Becket University, UK, and a Ph.D. in Management Science and Engineering from the China University of Petroleum. Currently a lecturer at Qingdao Huanghai University, he has also served as Vice Minister of the Risk Department at Shandong Xintai Rural Commercial Bank. Dr. Yang has published extensively in finance and management, including high-impact articles on inclusive finance, cross-border e-commerce, and digital financial sequence analysis using advanced algorithms, with notable recognition in Finance Research Letters. His expertise extends to econometrics, financial forecasting, and asset management. With multiple national awards, certifications in finance, and advanced technical proficiency, Dr. Yang combines academic excellence with practical insights, positioning him as a leader in financial research and education.
Professional Profile
Education
Dr. Chengjie Yang possesses a comprehensive and multidisciplinary educational background that underpins his expertise in finance and management. He earned his Bachelor’s degree in Accounting from the China University of Petroleum (East China), where he demonstrated exceptional academic performance, earning the title of “Outstanding Graduate.” He further pursued a Master’s degree in International Trade and Finance at Becket University in Leeds, UK, gaining global exposure and deepening his understanding of international financial systems. To advance his academic journey, Dr. Yang completed his Ph.D. in Management Science and Engineering at the China University of Petroleum, focusing on innovative approaches to finance and management. Throughout his studies, he excelled in courses such as Financial Accounting, Econometrics, International Trade, and International Financial Management, building a strong theoretical and practical foundation. His education reflects a commitment to lifelong learning and an ability to integrate diverse disciplines into his research and professional endeavors.
Professional Experience
Dr. Chengjie Yang has a rich and diverse professional background that bridges academia and the financial industry. He currently serves as a lecturer at Qingdao Huanghai University, where he imparts knowledge in finance, management, and related disciplines, fostering the next generation of professionals and researchers. Previously, he held the role of Vice Minister of the Risk Department at Shandong Xintai Rural Commercial Bank, where he gained extensive experience in risk management, financial analysis, and strategic decision-making. This dual exposure to academic and practical environments has equipped Dr. Yang with a unique perspective, enabling him to translate complex theoretical concepts into real-world applications. His expertise spans areas such as inclusive finance, digital financial forecasting, and enterprise earnings management, which he has explored through various high-impact research publications. Dr. Yang’s professional journey exemplifies his ability to combine scholarly achievements with practical financial insights, enhancing his contributions to both fields.
Research Interest
Dr. Chengjie Yang’s research interests lie at the intersection of finance, management science, and digital innovation. He is deeply engaged in exploring inclusive finance, digital financial forecasting, and cross-border e-commerce, with a particular focus on leveraging advanced algorithms like LSTM for sequence analysis. Dr. Yang’s work also delves into the dynamics of real estate and construction economics, asset injection, and enterprise earnings management, reflecting his commitment to addressing contemporary challenges in financial systems. His research emphasizes the practical application of econometric models and digital tools to optimize financial decision-making and risk management. With a strong focus on the integration of technology in financial systems, he seeks to contribute to the evolution of sustainable and efficient financial practices. Through his studies, Dr. Yang aims to bridge theoretical frameworks with real-world applications, fostering innovation and resilience in the rapidly evolving financial and economic landscape.
Award and Honor
Dr. Chengjie Yang has been recognized for his outstanding academic and professional achievements through various awards and honors. As a testament to his academic excellence, he was conferred the prestigious title of “Outstanding Graduate” by the China University of Petroleum (East China) during his undergraduate studies. His research contributions have also earned him accolades, including a national award in 2022 for his insightful analysis of the real estate economy and construction economics. These honors highlight his dedication to addressing critical issues in finance and management science. Additionally, his participation in prestigious scientific research competitions and publication of high-impact articles have further solidified his reputation as a leading scholar. Dr. Yang’s awards not only underscore his intellectual rigor but also reflect his commitment to innovation and excellence, making him a prominent figure in the fields of finance and management research.
Conclusion
Chengjie Yang is a well-rounded researcher with significant accomplishments in finance and management science. His robust educational background, impressive research output, technical skills, and professional experience make him a strong candidate for the Best Researcher Award. While focusing on specialized research themes and expanding international collaborations could elevate his profile, his current achievements already demonstrate remarkable potential and expertise.
Publications Top Noted
- Title: Asset injection and enterprise earnings management
Authors: Tan, Y., Yang, C., Qian, K., Jiang, C.
Year: 2024
Citations: 0
- Title: Research on Digital Financial Sequence Analysis and Forecasting Based on LSTM Algorithm Optimization
Authors: Yang, C.
Year: 2023
Citations: 0
