Skip to main navigation menu Skip to main content Skip to site footer

Vol. 6 No. 1 (2025)
2025 Edition

Articles

Empirical Analysis of ESG Factor Integration on Investment Performance in Clean Energy Industry A Multi-Dimensional Assessment Framework

Published 2025-10-13

  • Deepak Nair
    • ,
  • Liwen Zhao

Deepak Nair
Department of Information Systems & Analytics, Stanford Graduate School of Business. USA

Liwen Zhao
Department of Artificial Intelligence & Decision Sciences, Stanford School of Engineering, USA

Abstract

The integration of Environmental, Social, and Governance (ESG) factors into investment decision-making processes has gained substantial attention in clean energy sectors. This research examines the empirical relationship between ESG performance metrics and investment returns across clean energy portfolios through comprehensive quantitative analysis. Utilizing a dataset encompassing 245 clean energy companies across global markets from 2018 to 2024, this study employs advanced statistical modeling and machine learning techniques to quantify ESG impacts on financial performance indicators. The analysis reveals significant positive correlations between comprehensive ESG scores and risk-adjusted returns, with environmental factors demonstrating the strongest predictive power for long-term value creation. Governance metrics exhibit substantial influence on operational efficiency and capital allocation effectiveness. The findings provide actionable insights for institutional investors seeking to optimize portfolio construction strategies while advancing sustainability objectives in energy transition investments.

Keywords

ESG Integration, Clean Energy Investment, Portfolio Performance, Sustainability Finance

View PDF

References

  1. [1] Pan, Z. (2025). A Reinforcement Learning Approach for Adaptive Budget Allocation in Pharmaceutical Digital Marketing: Maximizing ROI Across Patient Journey Touchpoints. Journal of Sustainability, Policy, and Practice, 1(4), 1-15.
  2. [2] Li, Y., Fan, S., & Wang, H. (2025). Machine Learning-Based Identification of Anomalous Trading Behavior Patterns Among Asia-Pacific Investors in US Securities Markets. Spectrum of Research, 5(1).
  3. [3] Sun, M. (2025). AI-Driven Cross-Cultural Consumer Purchase Intention Prediction Methods for E-commerce Platforms: An Applied Research Approach. Spectrum of Research, 5(2).
  4. [4] Kang, A., & Yu, K. (2025). The Impact of Financial Data Visualization Techniques on Enhancing Budget Transparency in Local Government Decision-Making. Spectrum of Research, 5(2).
  5. [5] Huang, Y. (2025, June). NLP-Enhanced Detection of Wrong-Way Risk Contagion Patterns in Interbank Networks: A Deep Learning Approach. In Proceedings of the 2025 International Conference on Management Science and Computer Engineering (pp. 214-219).
  6. [6] Zhang, D., Meng, S., & Wang, Y. (2025). Impact Analysis of Price Promotion Strategies on Consumer Purchase Patterns in Fast-Moving Consumer Goods Retail. Academia Nexus Journal, 4(1).
  7. [7] Luo, X. (2025). Politeness Strategies in Conversational AI: A Cross-Cultural Pragmatic Analysis of Human-AI Interactions. Pinnacle Academic Press Proceedings Series, 3, 1-14.
  8. [8] Sun, M. (2025). Research on E-Commerce Return Prediction and Influencing Factor Analysis Based on User Behavioral Characteristics. Pinnacle Academic Press Proceedings Series, 3, 15-28.
  9. [9] Meng, S., Yuan, D., & Zhang, D. (2025). Integration Strategies and Performance Impact of PE-Backed Technology M&A Transactions. Pinnacle Academic Press Proceedings Series, 3, 59-75.
  10. [10] Yuan, D., & Meng, S. (2025). Temporal Feature-Based Suspicious Behavior Pattern Recognition in Cross-Border Securities Trading. Journal of Sustainability, Policy, and Practice, 1(2), 1-18.
  11. [11] Lu, X., & Li, Z. (2025). Attention-Based Multimodal Emotion Recognition for Fine-Grained Visual Ad Engagement Prediction on Instagram. Pinnacle Academic Press Proceedings Series, 3, 204-218.
  12. [12] Han, J. (2025). Deep Learning-Based Identification and Quantitative Analysis of Risk Contagion Pathways in Private Credit Markets. Journal of Sustainability, Policy, and Practice, 1(2), 32-44.
  13. [13] Pan, Z. (2025, June). AI-Powered Real-Time Effectiveness Assessment Framework for Cross-Channel Pharmaceutical Marketing: Optimizing ROI through Predictive Analytics. In Proceedings of the 2025 International Conference on Management Science and Computer Engineering (pp. 220-227).
  14. [14] Guan, H. (2025). Context-Aware Semantic Ambiguity Resolution in Cross-Cultural Dialogue Understanding. Journal of Sustainability, Policy, and Practice, 1(2), 136-147.
  15. [15] Ge, L. (2025). Artificial Intelligence-Driven Optimization of Accounts Receivable Management in Supply Chain Finance: An Empirical Study Based on Cash Flow Prediction and Risk Assessment. Journal of Sustainability, Policy, and Practice, 1(2), 110-120.
  16. [16] Liu, Y. (2025). Research on AI Driven Cross Departmental Business Intelligence Visualization Framework for Decision Support. Journal of Sustainability, Policy, and Practice, 1(2), 69-85.
  17. [17] Li, Y., Zhou, Y., & Wang, Y. (2025). Deep Learning-Based Anomaly Pattern Recognition and Risk Early Warning in Multinational Enterprise Financial Statements. Journal of Sustainability, Policy, and Practice, 1(3), 40-54.
  18. [18] Sun, M., & Yu, L. (2025). AI-Driven SEM Keyword Optimization and Consumer Search Intent Prediction: An Intelligent Approach to Search Engine Marketing. Journal of Sustainability, Policy, and Practice, 1(3), 26-39.
  19. [19] Zhang, D., & Ma, X. (2025). Machine Learning-Based Credit Risk Assessment for Green Bonds: Climate Factor Integration and Default Prediction Analysis. Journal of Sustainability, Policy, and Practice, 1(2), 121-135.
  20. [20] Kang, A., Li, C., & Meng, S. (2025). The Impact of Government Budget Data Visualization on Public Financial Literacy and Civic Engagement. Journal of Economic Theory and Business Management, 2(4), 1-16.
  21. [21] Weng, G., Liu, W., & Guo, L. (2025). Improving Accuracy of Corn Leaf Disease Recognition Through Image Enhancement Techniques. Journal of Computer Technology and Applied Mathematics, 2(5), 1-12.
  22. [22] Xu, S., & Yu, L. (2025). Application of Machine Learning-based Customer Flow Pattern Analysis in Restaurant Seating Layout Design. Journal of Computer Technology and Applied Mathematics, 2(4), 1-11.
  23. [23] Chu, Z., Weng, G., & Guo, L. (2024). Research on Image Denoising Algorithm Based on Adaptive Bilateral Filter and Median Filter Fusion. Journal of Advanced Computing Systems, 4(10), 69-83.
  24. [24] Chu, Z., Weng, G., & Yu, L. (2024). Real-time Industrial Surface Defect Detection Based on Lightweight Convolutional Neural Networks. Artificial Intelligence and Machine Learning Review, 5(2), 36-53.
  25. [25] Jiang, Z., Yuan, D., & Liu, W. (2025). Research on Cross-border Securities Anomaly Detection Based on Time Zone Trading Characteristics. Journal of Economic Theory and Business Management, 2(4), 17-29.
  26. [26] Liu, W., Fan, S., & Weng, G. (2025). Multi-Modal Deep Learning Framework for Early Alzheimer's Disease Detection Using MRI Neuroimaging and Clinical Data Fusion. Annals of Applied Sciences, 6(1).
  27. [27] Yuan, D., Wang, H., & Guo, L. (2025). Cultural-Behavioral Network Fingerprinting for Asia-Pacific Cross-Border Securities Trading. Academia Nexus Journal, 4(2).
  28. [28] Li, X., & Jia, R. (2024). Energy-Aware Scheduling Algorithm Optimization for AI Workloads in Data Centers Based on Renewable Energy Supply Prediction. Journal of Computing Innovations and Applications, 2(2), 56-65.
  29. [29] Yu, L., & Li, X. (2025). Dynamic Optimization Method for Differential Privacy Parameters Based on Data Sensitivity in Federated Learning. Journal of Advanced Computing Systems, 5(6), 1-13.
  30. [30] Wang, X., Chu, Z., & Li, Z. (2023). Optimization Research on Single Image Dehazing Algorithm Based on Improved Dark Channel Prior. Artificial Intelligence and Machine Learning Review, 4(4), 57-74.
  31. [31] Ding, W., Tan, H., Zhou, H., Li, Z., & Fan, C. (2024). Immediate traffic flow monitoring and management based on multimodal data in cloud computing. Journal of Transportation Systems, 18(3), 102-118.
  32. [32] Li, Y., Fan, S., & Wang, H. (2025). Research on Cross-lingual Sentiment Analysis Methods for Social Media Based on Feature Optimization. Academia Nexus Journal, 4(2).
  33. [33] Ma, X., & Fan, S. (2025). Adaptive Scheduling Algorithm for AI Inference Tasks Based on Deep Reinforcement Learning in Cloud-Edge Collaborative Environment. Annals of Applied Sciences, 6(1).
  34. [34] Liu, W., Fan, S., & Weng, G. (2023). Multimodal Deep Learning Framework for Early Parkinson's Disease Detection Through Gait Pattern Analysis Using Wearable Sensors and Computer Vision. Journal of Computing Innovations and Applications, 1(2), 74-86.
  35. [35] Guo, L., Li, Z., & Min, S. (2025). Enhanced Natural Language Annotation and Query for Semantic Mapping in Visual SLAM Using Large Language Models. Journal of Sustainability, Policy, and Practice, 1(3), 131-143.
  36. [36] Li, Z., & Qian, K. (2025). Online Learning Behavior Prediction and Intervention Strategies Based on Multimodal Feature Fusion. Annals of Applied Sciences, 6(1).
  37. [37] Qian, K., & Li, Z. (2025). Lightweight Neural Networks with Attention Mechanism for Loop Closure Detection in Visual SLAM. Journal of Advanced Computing Systems, 5(8), 1-16.
  38. [38] Sun, M., & Wang, H. (2025). AI-Powered Customer Engagement Sequence Analysis and Conversion Funnel Optimization in Multi-Channel E-Commerce Marketing. Journal of Industrial Engineering and Applied Science, 3(5), 7-20.
  39. [39] Zhou, Y., Sun, M., & Zhang, F. (2023). Graph Neural Network-Based Anomaly Detection in Financial Transaction Networks. Journal of Computing Innovations and Applications, 1(2), 87-101.
  40. [40] Sun, M., Feng, Z., & Li, P. (2023). Real-time AI-driven attribution modeling for dynamic budget allocation in US e-commerce: A small appliance sector analysis. Journal of Advanced Computing Systems, 3(9), 39-53.
  41. [41] Sun, M. (2023). AI-Driven Precision Recruitment Framework: Integrating NLP Screening, Advertisement Targeting, and Personalized Engagement for Ethical Technical Talent Acquisition. Artificial Intelligence and Machine Learning Review, 4(4), 15-28.
  42. [42] Zhu, L., Sun, M., & Yu, L. (2023). Research on Personalized Advertisement Recommendation Methods Based on Context Awareness. Journal of Advanced Computing Systems, 3(10), 39-53.
  43. [43] Guo, L., Li, Z., Qian, K., Ding, W., & Chen, Z. (2024). Bank credit risk early warning model based on machine learning decision trees. Journal of Economic Theory and Business Management, 1(3), 24-30.
  44. [44] Fan, C., Ding, W., Qian, K., Tan, H., & Li, Z. (2024). Cueing Flight Object Trajectory and Safety Prediction Based on SLAM Technology. Journal of Theory and Practice of Engineering Science, 4(05), 1-8.
  45. [45] Fan, C., Li, Z., Ding, W., Zhou, H., & Qian, K. (2024). Integrating artificial intelligence with SLAM technology for robotic navigation and localization in unknown environments. International Journal of Robotics and Automation, 29(4), 215-230.
  46. [46] Qian, K., Fan, C., Li, Z., Zhou, H., & Ding, W. (2024). Implementation of Artificial Intelligence in Investment Decision-making in the Chinese A-share Market. Journal of Economic Theory and Business Management, 1(2), 36-42.
  47. [47] Jiang, W., Qian, K., Fan, C., Ding, W., & Li, Z. (2024). Applications of generative AI-based financial robot advisors as investment consultants. Applied and Computational Engineering, 67, 28-33.
  48. [48] Li, Z., Fan, C., Ding, W., & Qian, K. (2024). Robot Navigation and Map Construction Based on SLAM Technology.
  49. [49] Ding, W., Zhou, H., Tan, H., Li, Z., & Fan, C. (2024). Automated compatibility testing method for distributed software systems in cloud computing.
  50. [50] Kang, A., Li, Z., & Meng, S. (2023). AI-Enhanced Risk Identification and Intelligence Sharing Framework for Anti-Money Laundering in Cross-Border Income Swap Transactions. Journal of Advanced Computing Systems, 3(5), 34-47.
  51. [51] Mo, T., Li, Z., & Guo, L. (2025). Predicting Participation Behavior in Online Collaborative Learning through Large Language Model-Based Text Analysis. Pinnacle Academic Press Proceedings Series, 3, 29-42.
  52. [52] Jiang, X., Jia, R., & Zhang, F. (2025). Deep Learning-Based User Behavior Anomaly Detection and Threat Early Warning in Cloud Computing Environments. Academia Nexus Journal, 4(3).
  53. [53] Zhang, D., & Zheng, Q. (2025). Machine Learning-Based Building Energy Consumption Prediction and Carbon Reduction Potential Assessment in US Metropolitan Areas. Journal of Industrial Engineering and Applied Science, 3(5), 27-40.
  54. [54] Weng, G., Yu, L., & Guo, L. (2025). Comparative Study of Machine Learning Approaches for Predicting Cardiotoxicity of Anticancer Drugs. Spectrum of Research, 5(2).
  55. [55] Yu, L., Guo, L., & Jia, R. (2023). Artificial Intelligence-Driven Drug Repurposing for Neurodegenerative Diseases: A Computational Analysis and Prediction Study. Journal of Advanced Computing Systems, 3(7), 10-23.
  56. [56] Wang, Y., Ma, X., & Yan, L. (2024). Research on AI-Driven Personalized Web Interface Adaptation Strategies and User Satisfaction Evaluation. Journal of Computing Innovations and Applications, 2(1), 32-45.
  57. [57] Yu, K., Yuan, D., & Min, S. (2024). Enhancing Credit Decision Transparency for Small Business Owners: An Explainable AI Approach to Mitigate Algorithmic Bias in Micro-lending. Journal of Computing Innovations and Applications, 2(2), 66-77.
  58. [58] Huang, Y. (2024). Fairness-Aware Credit Risk Assessment Using Alternative Data: An Explainable AI Approach for Bias Detection and Mitigation. Artificial Intelligence and Machine Learning Review, 5(1), 27-39.
  59. [59] Cai, Y. (2023). Multi-Horizon Financial Crisis Detection Through Adaptive Data Fusion. Artificial Intelligence and Machine Learning Review, 4(1), 16-30.
  60. [60] Pan, Z. (2023). Machine Learning for Real-time Optimization of Bioprocessing Parameters: Applications and Improvements. Artificial Intelligence and Machine Learning Review, 4(3), 30-42.
  61. [61] Zhang, D., & Zhang, F. (2025). AI-Assisted Identification and Equity Assessment of Vulnerable Population Impacts in US Energy Transition. Journal of Advanced Computing Systems, 5(7), 1-17.
  62. [62] Xu, S., & Zhou, Y. (2025). AI-Enabled Cultural Feature Recognition and Cross-Cultural Comparison in Historic Architecture. Academia Nexus Journal, 4(2).
  63. [63] Zhou, Y., & Jia, R. (2025). Research on Driving Behavior Risk Identification and Safety Assessment Methods Based on Artificial Intelligence. Artificial Intelligence and Machine Learning Review, 6(2), 1-15.
  64. [64] Zhang, S., Zhang, F., & Yan, L. (2025). Evaluating Tool Selection and Usage Efficiency of LLM-based Agents in Domain-Specific Tasks: A Comparative Analysis. Journal of Computing Innovations and Applications, 3(2), 34-50.
  65. [65] Shi, X. (2025). Research on Ride-hailing User Travel Preference Identification and Personalized Recommendation Strategies Based on Machine Learning. Applied and Computational Engineering, 186, 39-51.
  66. [66] Li, X. (2025). Privacy-Preserving Feature Attribution Explanations for Large-Scale Recommendation Systems: A Differential Privacy Approach. Journal of Science, Innovation & Social Impact, 1(1), 19-32.
  67. [67] Cheng, Z. (2025). AI Enabled Cardiovascular Disease Risk Prediction through Multimodal Data Fusion: A Predictive Analytics Approach. Journal of Sustainability, Policy, and Practice, 1(2), 98-109.
  68. [68] Dong, Z., & Jia, R. (2025). Adaptive Dose Optimization Algorithm for LED-based Photodynamic Therapy Based on Deep Reinforcement Learning. Journal of Sustainability, Policy, and Practice, 1(3), 144-155.
  69. [69] Dong, Z., & Zhang, F. (2025). Deep Learning-Based Noise Suppression and Feature Enhancement Algorithm for LED Medical Imaging Applications. Journal of Science, Innovation & Social Impact, 1(1), 9-18.
  70. [70] Ye, H. (2025, April). AI-Enhanced Detection of Dynamic Structural Changes in Inflammatory Protein Interfaces: A Case Study of CD11b/Mac-1 Interactions. In 2025 6th International Conference on Computer Engineering and Application (ICCEA) (pp. 2173-2180). IEEE.
  71. [71] Wang, Z. (2025, April). DeepMotionNet: AI-Driven Predictive Animation State Transitions for Reducing Perceptual Latency in Competitive FPS Games. In 2025 6th International Conference on Computer Engineering and Application (ICCEA) (pp. 01-08). IEEE.
  72. [72] Chen, P., Lam, K. H., Liu, Z., Mindlin, F. A., Chen, B., Gutierrez, C. B., ... & Jin, R. (2019). Structure of the full-length Clostridium difficile toxin B. Nature structural & molecular biology, 26(8), 712-719.
  73. [73] Tian, S., Xiong, X., Zeng, J., Wang, S., Tremblay, B. J. M., Chen, P., ... & Dong, M. (2022). Identification of TFPI as a receptor reveals recombination-driven receptor switching in Clostridioides difficile toxin B variants. Nature Communications, 13(1), 6786.
  74. [74] Huang, T., Cui, Z., Du, C., & Chiang, C. E. (2025). CL-ISR: A Contrastive Learning and Implicit Stance Reasoning Framework for Misleading Text Detection on Social Media. arXiv preprint arXiv:2506.05107.
  75. [75] Cui, Z., Huang, T., Chiang, C. E., & Du, C. (2025). Toward Verifiable Misinformation Detection: A Multi-Tool LLM Agent Framework. arXiv preprint arXiv:2508.03092.
  76. [76] Du, C., Chiang, C. E., Huang, T., & Cui, Z. (2025). Adaptive Graph Convolution and Semantic-Guided Attention for Multimodal Risk Detection in Social Networks. arXiv preprint arXiv:2509.16936.
  77. [77] Lu, X. (2025). DeepAd-OCR: An AI-Powered Framework for Automated Recognition and Enhancement of Conversion Elements in Digital Advertisements. Journal of Sustainability, Policy, and Practice, 1(4), 32-49.
  78. [78] Wang, Y., & Wang, X. (2023). FedPrivRec: A Privacy-Preserving Federated Learning Framework for Real-Time E-Commerce Recommendation Systems. Journal of Advanced Computing Systems, 3(5), 63-77.
  79. [79] Ye, H. (2025). Bayesian Optimization-Based AI Framework for Nanobody Screening: Minimizing Experimental Failures in ELISA Detection Systems. Journal of Sustainability, Policy, and Practice, 1(4), 16-31.
  80. [80] Zhang, J. (2025). SecureCodeBERT: An Ai-Powered Model for Identifying and Categorizing High-Risk Security Vulnerabilities in Php-Based Critical Infrastructure Applications. Journal of Sustainability, Policy, and Practice, 1(4), 80-94.
  81. [81] Ge, L. (2023). Predictive Visual Analytics for Financial Anomaly Detection: A Big Data Framework for Proactive Decision Support in Volatile Markets. Artificial Intelligence and Machine Learning Review, 4(4), 42-56.
  82. [82] Guan, H., & Zhu, L. (2023). Dynamic Risk Assessment and Intelligent Decision Support System for Cross-border Payments Based on Deep Reinforcement Learning. Journal of Advanced Computing Systems, 3(9), 80-92.
  83. [83] Lei, Y. (2025). RLHF-Powered Multilingual Audio Understanding: A Cross-Cultural Emotion Analysis Framework for International Communication. Journal of Sustainability, Policy, and Practice, 1(4), 66-79.
  84. [84] Cai, Y. (2025). Federated Learning-Based Framework for Privacy-Protected Cross-Border Financial Risk Evaluation: Analyzing US-Asia Investment Flows. Journal of Sustainability, Policy, and Practice, 1(4), 50-65.
  85. [85] Li, X. (2025). AI-Driven Computational Resource Optimization: A Hybrid Deep Reinforcement Learning Framework for Enhancing Large-Scale Model Efficiency. Pinnacle Academic Press Proceedings Series, 3, 190-203.
  86. [86] Lei, Y., & Wu, Z. (2025). A Real-Time Detection Framework for High-Risk Content on Short Video Platforms Based on Heterogeneous Feature Fusion. Pinnacle Academic Press Proceedings Series, 3, 93-106.
  87. [87] Ge, L., & Rao, G. (2025). MultiStream-FinBERT: A Hybrid Deep Learning Framework for Corporate Financial Distress Prediction Integrating Accounting Metrics, Market Signals, and Textual Disclosures. Pinnacle Academic Press Proceedings Series, 3, 107-122.
  88. [88] Zhang, J. (2025, June). Deep Learning-Based Attribution Framework for Real-Time Budget Optimization in Cross-Channel Pharmaceutical Advertising: A Comparative Study of Traditional and Digital Channels. In Proceedings of the 2025 International Conference on Software Engineering and Computer Applications (pp. 248-254).
  89. [89] Cheng, Z. (2025). DeepTriage: A Real-Time AI Decision Support System for Emergency Resource Allocation in Mass Casualty Incidents. Pinnacle Academic Press Proceedings Series, 2, 170-182.
  90. [90] Liu, Y. (2025, July). Intelligent Analysis Methods for Multi-Channel Marketing Data Based on Anomaly Detection Algorithms. In Proceedings of the 2nd International Conference on Image Processing, Machine Learning, and Pattern Recognition (pp. 198-206).
  91. [91] Shi, X. (2025). Privacy-Preserving Federated Learning Framework for Multi-Institutional Healthcare Data Analytics with Differential Privacy and Homomorphic Encryption. Pinnacle Academic Press Proceedings Series, 5, 44-55.
  92. [92] Long, X. (2025). AI-Enhanced Predictive Maintenance Framework for Modular Data Center Infrastructure: An Automated Firmware Lifecycle Management Approach. Journal of Sustainability, Policy, and Practice, 1(2), 19-31.
  93. [93] Zhang, C. (2025). Optimization of Cancer Patient Survival Prediction Algorithms Based on Multi-Dimensional Feature Selection. Journal of Sustainability, Policy, and Practice, 1(2), 57-68.
  94. [94] Wang, J. (2025). Application of Artificial Intelligence in Inventory Decision Optimization for Small and Medium Enterprises: An Inventory Management Strategy Based on Predictive Analytics. Pinnacle Academic Press Proceedings Series, 5, 56-71.
  95. [95] Wang, Y. (2025). AI-Enhanced Early Stopping Decision Framework for A/B Testing: A Machine Learning Approach to Optimize Experimental Efficiency. Journal of Sustainability, Policy, and Practice, 1(2), 86-97.
  96. [96] Meng, S., Qian, K., & Zhou, Y. (2025). Empirical Study on the Impact of ESG Factors on Private Equity Investment Performance: An Analysis Based on Clean Energy Industry. Journal of Computing Innovations and Applications, 3(2), 15-33.
  97. [97] Wang, Y. (2025, April). Enhancing Retail Promotional ROI Through AI-Driven Timing and Targeting: A Data Decision Framework for Multi-Category Retailers. In Proceedings of the 2025 International Conference on Digital Economy and Information Systems (pp. 296-302).
  98. [98] Kang, A., & Ma, X. (2025). AI-Based Pattern Recognition and Characteristic Analysis of Cross-Border Money Laundering Behaviors in Digital Currency Transactions. Pinnacle Academic Press Proceedings Series, 5, 1-19.
  99. [99] Kang, A., Zhang, K., & Chen, Y. (2025). AI-Assisted Analysis of Policy Communication during Economic Crises: Correlations with Market Confidence and Recovery Outcomes. Pinnacle Academic Press Proceedings Series, 3, 159-173.
  100. [100] Wei, G., & Ji, Z. (2025). Quantifying and Mitigating Dataset Biases in Video Understanding Tasks across Cultural Contexts. Pinnacle Academic Press Proceedings Series, 3, 147-158.