Nitin Liladhar Rane

Swami Vivekanand College of Pharmacy, University of Mumbai

论文数

10

总引用数

205

H-Index

8

关于

暂无简介。

研究焦点

Engineering7 · 171 次引用
Artificial intelligence7 · 164 次引用
Computer science7 · 164 次引用
Business6 · 125 次引用
Finance2 · 73 次引用
Automation2 · 73 次引用
Process management2 · 73 次引用
Sustainability2 · 73 次引用
Process (computing)2 · 73 次引用
Corporate governance2 · 73 次引用
Knowledge management3 · 70 次引用
Industrial organization2 · 37 次引用

主要成就

8
H 指数
10
论文
205
总引用数
21
篇均引用
🏆 最高被引论文
Artificial Intelligence-driven corporate finance: enhancing efficiency and decision-making through machine learning, natural language processing, and robotic process automation in corporate governance and sustainability
49 次引用 · 2024
📈 最高产年份: 2024 (9 论文)
🤝 主要合作者: 9
🏛 所属机构: Swami Vivekanand College of Pharmacy, University of Mumbai

代表论文

  1. 1
    Artificial Intelligence-driven corporate finance: enhancing efficiency and decision-making through machine learning, natural language processing, and robotic process automation in corporate governance and sustainability
    49 次引用 · 2024
  2. 2
    Transformers in Industry 4.0, Industry 5.0, and Society 5.0: Roles and Challenges
    33 次引用 · 2023
  3. 3
    Acceptance and integration of Artificial intelligence and machine learning in the construction industry: Factors, current trends, and challenges
    27 次引用 · 2024
  4. 4
    Advancing industry 4.0, 5.0, and society 5.0 through generative artificial intelligence like ChatGPT
    24 次引用 · 2024
  5. 5
    Artificial Intelligence-Driven Corporate Finance: Enhancing Efficiency and Decision-Making Through Machine Learning, Natural Language Processing, and Robotic Process Automation in Corporate Governance and Sustainability
    24 次引用 · 2024
  6. 6
    Techniques and optimization algorithms in deep learning: A review
    19 次引用 · 2024
  7. 7
    Business Intelligence and Business Analytics With Artificial Intelligence and Machine Learning: Trends, Techniques, and Opportunities
    11 次引用 · 2024
  8. 8
    Artificial intelligence, machine learning, and deep learning technologies as catalysts for industry 4.0, 5.0, and society 5.0
    10 次引用 · 2024
  9. 9
    Digital twin for healthcare, finance, agriculture, retail, manufacturing, energy, and transportation industry 4.0, 5.0, and society 5.0
    4 次引用 · 2024
  10. 10
    Artificial intelligence acceptance and implementation in construction industry: factors, current trends, and challenges
    4 次引用 · 2024

主要合作者

JRJayesh Rane6 篇合著论文ÖKÖmer Kaya3 篇合著论文SCSaurabh Choudhary2 篇合著论文JRJayesh Rane2 篇合著论文SPSaurabh P. Choudhary1 篇合著论文MPMallikarjuna Paramesha1 篇合著论文SKSuraj Kumar Mallick1 篇合著论文SCSaurabh Choudhary1 篇合著论文PDPravin Desai1 篇合著论文
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