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- 1. 朱青,刘汕,DU Jinhong,CHE jianhua,LI Jianlong,Decomposition-Based Dynamic Inductive Graph Embedding Learning Method to Forecast Stock Trends:IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2025.10.1(5):2765-2783
- 2. 朱青,Exploration of Salience Theory to Deep Learning: Evidence from Chinese New Energy Market High-Frequency Trading:Data Science and Management,2025.9.30(3):296-309
- 3. 朱青,Liu shan,Wu liangcheng,Che jianhua,Li yuze,Zhang jigang,How can artificial intelligence technology applications accelerate energy innovation in China? Evidence from provincial regional data:Economic Analysis and Policy,2025.9.1(3):484-502
- 4. 朱青,Dual-Market Quantitative Trading: the Dynamics of Liquidity and Turnover in Financial Markets:Data Science and Management,2025.3.20(1):48-58
- 5. 朱青,刘汕,LI Yuze,HAN Chenyu,CHE jianhua,Artificial intelligence-driven financial innovation: A robo-advisor system for robust returns across diversified markets:Expert Systems with Applications,2025.2.20(1):126881
- 6. 朱青,车建华,刘汕,Comparative analysis of profits from Bitcoin and its derivatives using artificial intelligence for hedge:PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2024.11.15(654):130159
- 7. 朱青,刘汕,以数智物流建设赋能“一带一路”高质量发展:陕西日报（理论）,2024.6.6(6.6):6
- 8. 朱青,刘汕,ZHOU XIAO BO,High return and low risk: Shaping composite financial investment decision in the new energy stock market:Energy Economics,2023.6.8(2023 june):106683
- 9. 朱青,刘汕,推进平台生态建设 培育数字经济新动能:陕西日报,2023.4.13(4.13):7
- 10. 朱青,Sung-Byung Yang,阮莹琳,车建华,王林,刘汕,Cross boarder electronic commerce's new path: From literature review to AI text generation:Data Science and Management,2023.3.1(1):21-33
