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A bibliometric analysis on the application of deep learning in finance: status, development and future directions
16 references·4 citing·34 second hop
A bibliometric analysis on the application of deep learning in finance: status, development and future directions (2023)A bibliometric analysis on the applicatio…How to conduct a bibliometric analysis: An overview and guidelines (2021)How to conduct a bibliometric…Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis (2021)Artificial intelligence and m…The art of crafting a systematic literature review in entrepreneurship research (2020)The art of crafting a systema…Financial literacy: A systematic review and bibliometric analysis (2020)Financial literacy: A systema…Conducting systematic literature reviews and bibliometric analyses (2019)Conducting systematic literat…Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning with long short…bibliometrix : An R-tool for comprehensive science mapping analysis (2017)bibliometrix : An R-tool for …A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A deep learning framework for…Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 (2016)Deep neural networks, gradien…Deep Learning for Finance: Deep Portfolios (2016)Deep Learning for Finance: De…Software survey: VOSviewer, a computer program for bibliometric mapping (2009)Software survey: VOSviewer, a…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…Statistical bibliography or bibliometrics (1969)Statistical bibliography or b…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…The World of Agent‐Based Modeling: A Bibliometric and Analytical Exploration (2025)The World of Agent‐Based Mode…A novel hybrid neural network-based volatility forecasting of agricultural commodity prices: empirical evidence from India (2025)A novel hybrid neural network…Does the financialization of agricultural commodities impact food security? An empirical investigation (2024)Does the financialization of …Does internationalization and board diversity affect family firms' sustainable performance? Empirical evidence from an emerging economy (2024)Does internationalization and…CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature (2005)Visualizing Bibliometric Networks (2014)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)On Persistence in Mutual Fund Performance (1997)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)An index to quantify an individual's scientific research output (2005)Bibliometric Methods in Management and Organization (2014)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Sample Selection in Systematic Literature Reviews of Management Research (2021)Artificial intelligence and machine learning in finance: A bibliometric review (2022)How to design bibliometric research: an overview and a framework proposal (2024)Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Systematic reviews in the social sciences: a practical guide (2006)The ABC of systematic literature review: the basic methodological guidance for beginners (2020)Innovation and the circular economy: A systematic literature review (2021)Literature reviews as independent studies: guidelines for academic practice (2022)The theory of planned behavior (1991)Scientific procedures and rationales for systematic literature reviews (SPAR‐4‐SLR) (2021)Meta‐analysis and traditional systematic literature reviews—What, why, when, where, and how? (2022)Personalization in personalized marketing: Trends and ways forward (2022)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)In Search of Distress Risk (2008)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)Toward a definition of “bibliometrics” (1987)Software tools for conducting bibliometric analysis in science: An up-to-date review (2020)Guidelines for advancing theory and practice through bibliometric research (2022)Bibliometric Analysis: The Main Steps (2024)
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References

  • 2009Software survey: VOSviewer, a computer program for bibliometric mapping21,418 cited
  • 2017bibliometrix : An R-tool for comprehensive science mapping analysis16,195 cited
  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 2021How to conduct a bibliometric analysis: An overview and guidelines14,255 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 1969Statistical bibliography or bibliometrics3,301 cited
  • 2017Deep learning with long short-term memory networks for financial market predictions2,827 cited
  • 2019Conducting systematic literature reviews and bibliometric analyses1,656 cited
  • 2020The art of crafting a systematic literature review in entrepreneurship research1,317 cited
  • 2020Financial literacy: A systematic review and bibliometric analysis1,146 cited
  • 2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory1,131 cited
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
  • 2016Deep Learning for Finance: Deep Portfolios765 cited

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  • 2016Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500749 cited
  • 2021Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis723 cited
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    • 2024Does the financialization of agricultural commodities impact food security? An empirical investigation51 cited
    • 2025A novel hybrid neural network-based volatility forecasting of agricultural commodity prices: empirical evidence from India31 cited
    • 2024Does internationalization and board diversity affect family firms' sustainable performance? Empirical evidence from an emerging economy19 cited
    • 2025The World of Agent‐Based Modeling: A Bibliometric and Analytical Exploration7 cited