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Unveiling the dynamics of AI applications: A review of reviews using scientometrics and BERTopic modeling
16 references·10 citing·54 second hop
Unveiling the dynamics of AI applications: A review of reviews using scientometrics and BERTopic modeling (2024)Unveiling the dynamics of AI applications…Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)Opinion Paper: “So what if Ch…Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Fairness and Bias in Artifici…Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods (2023)Bias and Unfairness in Machin…Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms (2022)Beyond bias and discriminatio…A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts (2022)A Topic Modeling Comparison B…The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an…Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review (2021)Artificial intelligence, robo…Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis (2021)Artificial intelligence and m…Artificial intelligence in supply chain management: A systematic literature review (2020)Artificial intelligence in su…Artificial Intelligence in Health Care: Bibliometric Analysis (2020)Artificial Intelligence in He…Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review (2020)Artificial intelligence and b…Application of bibliometrics in medicine: a historical bibliometrics analysis (2020)Application of bibliometrics …Mitigating Gender Bias in Natural Language Processing: Literature Review (2019)Mitigating Gender Bias in Nat…Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error (2019)Machine learning algorithms f…Software survey: VOSviewer, a computer program for bibliometric mapping (2009)Software survey: VOSviewer, a…Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred Reporting Items for…Measuring citizen frames and their integration in the international policy process: a hybrid BERTopic modelling approach (2026)Measuring citizen frames and …Uncovering Semantic Patterns in Sustainability Research: A Systematic NLP Review (2025)Uncovering Semantic Patterns …Topic modeling help enhancing sustainable mobility (2025)Topic modeling help enhancing…Research on the analysis and application of technological supply and demand structure based on LDA and BERTopic models (2025)Research on the analysis and …Integrating metaverse technologies with online retail: machine learning-based topic modeling approach (2025)Integrating metaverse technol…Entrepreneurial strategies for sustainable growth: a deep dive into cloud-native technology and its applications (2025)Entrepreneurial strategies fo…Detecting latent topics and trends in IoT and e-commerce using BERTopic modeling (2025)Detecting latent topics and t…Artificial intelligence adoption dynamics and knowledge in SMEs and large firms: A systematic review and bibliometric analysis (2025)Artificial intelligence adopt…AI integration in financial services: a systematic review of trends and regulatory challenges (2025)AI integration in financial s…A semi-automated systematic review of literature reviews in construction engineering and management research (2025)A semi-automated systematic r…CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature (2005)Visualizing Bibliometric Networks (2014)bibliometrix : An R-tool for 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(2009)How to properly use the PRISMA Statement (2021)Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement (2021)CONSORT 2025 statement: updated guideline for reporting randomised trials (2025)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)The Pricing of Options and Corporate Liabilities (1973)On Persistence in Mutual Fund Performance (1997)Past, present, and future of customer engagement (2021)Artificial intelligence and machine learning in finance: A bibliometric review (2022)Fuzzy-set qualitative comparative analysis (fsQCA) in business and management research: A contemporary overview (2022)Empirical study of topic modeling in Twitter (2010)Big Data, new epistemologies and paradigm shifts (2014)Machine learning on big data: Opportunities and challenges (2017)Finding love in algorithms: deciphering the emotional contexts of close encounters with AI chatbots (2024)Green and sustainable AI research: an integrated thematic and topic modeling analysis (2024)Transformative AI in human resource management: enhancing workforce planning with topic modeling (2024)Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement (1999)The Revised CONSORT Statement for Reporting Randomized Trials: Explanation and Elaboration (2001)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration (2009)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)Agency Theory: An Assessment and Review (1989)Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)Artificial intelligence in logistics and supply chain management: A primer and roadmap for research (2023)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)The ethics of ChatGPT – Exploring the ethical issues of an emerging technology (2023)The ethics of algorithms: Mapping the debate (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)A Survey on Bias and Fairness in Machine Learning (2021)Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond (2024)Implementing a proposed framework for enhancing critical thinking skills in synthesizing AI-generated texts (2024)The Butterfly Effect in artificial intelligence systems: Implications for AI bias and fairness (2024)
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References

  • 2009Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement63,979 cited
  • 2009Software survey: VOSviewer, a computer program for bibliometric mapping21,418 cited
  • 2021The PRISMA 2020 statement: an updated guideline for reporting systematic reviews13,845 cited
  • 2023Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy4,557 cited
  • 2021Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review1,104 cited
  • 2020Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review1,102 cited
  • 2020Artificial intelligence in supply chain management: A systematic literature review1,015 cited
  • 2022A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts983 cited
  • 2023Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies871 cited
  • 2021Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis723 cited
  • 2020Application of bibliometrics in medicine: a historical bibliometrics analysis491 cited
  • 2019Mitigating Gender Bias in Natural Language Processing: Literature Review491 cited
  • 2020Artificial Intelligence in Health Care: Bibliometric Analysis

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466 cited
  • 2023Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods315 cited
  • 2022Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms193 cited
  • 2019Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error185 cited
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    • 2025Topic modeling help enhancing sustainable mobility5 cited
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