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Artificial intelligence and machine learning in finance: A bibliometric review

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Cited by:

  1. Frank Krueger & René Riedl & Jennifer A. Bartz & Karen S. Cook & David Gefen & Peter A. Hancock & Sirkka L. Jarvenpaa & Lydia Krabbendam & Mary R. Lee & Roger C. Mayer & Alexandra Mislin & Gernot R. M, 2025. "A call for transdisciplinary trust research in the artificial intelligence era," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-10, December.
  2. Alexandre Silva Oliveira & Paulo Sergio Ceretta & Daniel Pastorek, 2025. "An experiment with ANNs and Long-Tail Probability Ranking to Obtain Portfolios with Superior Returns," Computational Economics, Springer;Society for Computational Economics, vol. 65(4), pages 1819-1853, April.
  3. Florindo, Joao B. & Lima, Reneé Rodrigues & dos Santos, Francisco Alves & Alves, Jerson Leite, 2025. "GHENet: Attention-based Hurst exponents for the forecasting of stock market indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 667(C).
  4. Goodell, John W. & Oriani, Marco Ercole & Paltrinieri, Andrea & Patel, Ritesh, 2023. "The importance of ABS 2 journals in finance scholarship: Evidence from a bibliometric case study," Finance Research Letters, Elsevier, vol. 55(PA).
  5. Luiz Moura & Andre Barcaui & Renan Payer, 2025. "AI and Financial Fraud Prevention: Mapping the Trends and Challenges Through a Bibliometric Lens," JRFM, MDPI, vol. 18(6), pages 1-24, June.
  6. Awijen, Haithem & Ben Zaied, Younes & Ben Lahouel, Béchir & Khlifi, Foued, 2023. "Machine learning for US cross-industry return predictability under information uncertainty," Research in International Business and Finance, Elsevier, vol. 64(C).
  7. Minghao Zhou & Wenhao Lai, 2023. "Coal gangue recognition based on spectral imaging combined with XGBoost," PLOS ONE, Public Library of Science, vol. 18(1), pages 1-15, January.
  8. Darko B. Vuković & Senanu Dekpo-Adza & Stefana Matović, 2025. "AI integration in financial services: a systematic review of trends and regulatory challenges," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-29, December.
  9. Anica-Popa Liana-Elena & Vrîncianu Marinela & Petrică Papuc Iuliana-Mădălina, 2023. "AI – powered Business Services in the Hyperautomation Era," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 1036-1050, July.
  10. Güler Koştı & İsmail Kayadibi, 2025. "A bibliometric analysis of artificial intelligence and machine learning applications for human resource management," Future Business Journal, Springer, vol. 11(1), pages 1-19, December.
  11. Vanessa Ratten, 2024. "Artificial Intelligence, Digital Trends and Globalization: Future Research Trends," FIIB Business Review, , vol. 13(3), pages 286-293, May.
  12. Rimsha Naeem & Marko Kohtamäki & Vinit Parida, 2025. "Artificial intelligence enabled product–service innovation: past achievements and future directions," Review of Managerial Science, Springer, vol. 19(7), pages 2149-2192, July.
  13. Duane, Jackson & Morgan, Ashley & Carter, Emily, 2025. "A Review of Financial Data Analysis Techniques for Unstructured Data in the Deep Learning Era: Methods, Challenges, and Applications," OSF Preprints gdvbj_v1, Center for Open Science.
  14. Ren, Yi-Shuai & Ma, Chao-Qun & Kong, Xiao-Lin & Baltas, Konstantinos & Zureigat, Qasim, 2022. "Past, present, and future of the application of machine learning in cryptocurrency research," Research in International Business and Finance, Elsevier, vol. 63(C).
  15. Oliveira, Alexandre Silva de & Ceretta, Paulo Sergio & Albrecht, Peter, 2023. "Performance comparison of multifractal techniques and artificial neural networks in the construction of investment portfolios," Finance Research Letters, Elsevier, vol. 55(PA).
  16. Alena Vagaská & Miroslav Gombár & Antonín Korauš, 2022. "Mathematical Modeling and Nonlinear Optimization in Determining the Minimum Risk of Legalization of Income from Criminal Activities in the Context of EU Member Countries," Mathematics, MDPI, vol. 10(24), pages 1-25, December.
  17. Gupta, Somya & Ghardallou, Wafa & Pandey, Dharen Kumar & Sahu, Ganesh P., 2022. "Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework," Research in International Business and Finance, Elsevier, vol. 63(C).
  18. Chen, Dangxing & Ye, Jiahui & Ye, Weicheng, 2023. "Interpretable selective learning in credit risk," Research in International Business and Finance, Elsevier, vol. 65(C).
  19. Paul Handro & Bogdan Dima, 2024. "Analyzing Financial Markets Efficiency: Insights from a Bibliometric and Content Review," Journal of Financial Studies, Institute of Financial Studies, vol. 16(9), pages 119-175, May.
  20. Jewel Kumar Roy & László Vasa, 2024. "Machine Learning and Artificial Intelligence Method for FinTech Credit Scoring and Risk Management: A Systematic Literature Review," International Journal of Business Analytics (IJBAN), IGI Global Scientific Publishing, vol. 11(1), pages 1-23, January.
  21. Li Xian Liu & Zhiyue Sun & Kunpeng Xu & Chao Chen, 2024. "AI-Driven Financial Analysis: Exploring ChatGPT’s Capabilities and Challenges," IJFS, MDPI, vol. 12(3), pages 1-35, June.
  22. Costola, Michele & Hinz, Oliver & Nofer, Michael & Pelizzon, Loriana, 2023. "Machine learning sentiment analysis, COVID-19 news and stock market reactions," Research in International Business and Finance, Elsevier, vol. 64(C).
  23. Ayed Alwadain & Rao Faizan Ali & Amgad Muneer, 2023. "Estimating Financial Fraud through Transaction-Level Features and Machine Learning," Mathematics, MDPI, vol. 11(5), pages 1-15, February.
  24. Wang, Liang & Li, Munan, 2024. "An exploration method for technology forecasting that combines link prediction with graph embedding: A case study on blockchain," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
  25. P. V. Thayyib & Rajesh Mamilla & Mohsin Khan & Humaira Fatima & Mohd Asim & Imran Anwar & M. K. Shamsudheen & Mohd Asif Khan, 2023. "State-of-the-Art of Artificial Intelligence and Big Data Analytics Reviews in Five Different Domains: A Bibliometric Summary," Sustainability, MDPI, vol. 15(5), pages 1-38, February.
  26. Evangelos Liaras & Michail Nerantzidis & Antonios Alexandridis, 2024. "Machine learning in accounting and finance research: a literature review," Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1431-1471, November.
  27. HUO, Peng & WANG, Luxin, 2022. "Digital economy and business investment efficiency: Inhibiting or facilitating?," Research in International Business and Finance, Elsevier, vol. 63(C).
  28. Sharma, Gagan Deep & Tiwari, Aviral Kumar & Chopra, Ritika & Dev, Dhairya, 2024. "Past, present, and future of block-chain in finance," Journal of Business Research, Elsevier, vol. 177(C).
  29. Wang, Dan & Chen, Zhi & Florescu, Ionuţ & Wen, Bingyang, 2023. "A sparsity algorithm for finding optimal counterfactual explanations: Application to corporate credit rating," Research in International Business and Finance, Elsevier, vol. 64(C).
  30. Ren, Tingting & Li, Shaofang & Zhang, Siying, 2024. "Stock market extreme risk prediction based on machine learning: Evidence from the American market," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
  31. González, Marta Ramos & Ureña, Antonio Partal & Fernández-Aguado, Pilar Gómez, 2023. "Forecasting for regulatory credit loss derived from the COVID-19 pandemic: A machine learning approach," Research in International Business and Finance, Elsevier, vol. 64(C).
  32. Yasmeen Ansari & Mansour Saleh Albarrak & Noorjahan Sherfudeen & Arfia Aman, 2022. "A Study of Financial Literacy of Investors—A Bibliometric Analysis," IJFS, MDPI, vol. 10(2), pages 1-16, May.
  33. Kun Yang & Nikhil Krishnan & Sanjeev R. Kulkarni, 2025. "Financial Data Analysis with Robust Federated Logistic Regression," Papers 2504.20250, arXiv.org.
  34. Gang Kou & Yang Lu, 2025. "FinTech: a literature review of emerging financial technologies and applications," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-34, December.
  35. Mark Potanin & Andrey Chertok & Konstantin Zorin & Cyril Shtabtsovsky, 2023. "Startup success prediction and VC portfolio simulation using CrunchBase data," Papers 2309.15552, arXiv.org.
  36. Antonio Carlos Alcázar-Blanco & José Francisco Rangel-Preciado & Fiama Portillo-Santos, 2024. "Incorporating Artificial Intelligence into Finance: A Bibliometric Analysis," JRFM, MDPI, vol. 17(12), pages 1-14, December.
  37. Perdana, Arif & Arifin, Saru & Quadrianto, Novi, 2025. "Algorithmic trust and regulation: Governance, ethics, legal, and social implications blueprint for Indonesia's central banking," Technology in Society, Elsevier, vol. 81(C).
  38. Pavlos I. Zitis & Stelios M. Potirakis & Alex Alexandridis, 2024. "Forecasting Forex Market Volatility Using Deep Learning Models and Complexity Measures," JRFM, MDPI, vol. 17(12), pages 1-22, December.
  39. Amirul Ammar Anuar & Ahmad Azam Bin Sulaiman & Mohammad Taqiuddin Bin Mohamad, 2025. "Comparative analysis of AI-driven versus human-managed equity funds across market trends," Future Business Journal, Springer, vol. 11(1), pages 1-16, December.
  40. Robert Kudelić & Tamara Šmaguc & Sherry Robinson, 2025. "Artificial intelligence in the service of entrepreneurial finance: knowledge structure and the foundational algorithmic paradigm," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-43, December.
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