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Exploring Grey Systems in Uncertain Environments: A Bibliometric Analysis of Global Contributions and Research Themes

Author

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  • Adrian Domenteanu

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania)

  • Georgiana-Alina Crișan

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania)

  • Corina Frăsineanu

    (Department of Management, Bucharest University of Economic Studies, 010552 Bucharest, Romania)

  • Camelia Delcea

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania)

Abstract

Grey systems theory, through the special mathematics and methods offered, such as through seeing numbers as intervals rather than fixed values, provides a bridge between the two extreme cases in which a system under investigation might find, namely, a white system, easy to read and understand, and a black system, completely unknown to the investigator. Since its appearance in 1982, the theory has contributed to solving various challenges traditionally addressed through complex means. The paper provides a comprehensive perspective on the evolution of the grey systems domain over the 42-year period analysed, spanning from 1982 to 2024. Utilizing a dataset extracted from the Clarivate Analytics’ Web of Science Core Collection database, the paper conducts a bibliometric analysis that includes the identification of key journals, affiliations, authors, and countries, as well as the collaboration networks among authors and countries. It also analyses the most frequently used keywords and authors’ keywords. The annual growth rate of 12.99% indicates a sustained interest among researchers. Using the Biblioshiny 4.2.3 library in R version 4.4.1, a variety of visualisations have been created, including thematic maps and WordClouds. A detailed review of the most cited papers has been performed to highlight the role of grey systems in advancing intelligent decision-making techniques. In terms of results, it has been observed that the university with the highest contribution to the field is the Nanjing University of Aeronautics and Astronautics while the most influential figure in the area of grey systems in terms of the number of published papers is Sifeng Liu. As expected, China, the home of grey systems theory, is the country with the most notable contribution in terms of published papers and international collaboration networks.

Suggested Citation

  • Adrian Domenteanu & Georgiana-Alina Crișan & Corina Frăsineanu & Camelia Delcea, 2025. "Exploring Grey Systems in Uncertain Environments: A Bibliometric Analysis of Global Contributions and Research Themes," Sustainability, MDPI, vol. 17(6), pages 1-43, March.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:6:p:2764-:d:1616593
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    References listed on IDEAS

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    1. Junwen Zhu & Weishu Liu, 2020. "Comparing like with like: China ranks first in SCI-indexed research articles since 2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1691-1700, August.
    2. Weishu Liu & Meiting Huang & Haifeng Wang, 2021. "Same journal but different numbers of published records indexed in Scopus and Web of Science Core Collection: causes, consequences, and solutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4541-4550, May.
    3. Weishu Liu, 2019. "The data source of this study is Web of Science Core Collection? Not enough," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1815-1824, December.
    4. Junwen Zhu & Guangyuan Hu & Weishu Liu, 2019. "DOI errors and possible solutions for Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 709-718, February.
    5. Amrollah Shamsi & Rafaela Carolina Silva & Ting Wang & N. Vasantha Raju & Karen Santos-d’Amorim, 2022. "A grey zone for bibliometrics: publications indexed in Web of Science as anonymous," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5989-6009, October.
    6. Weishu Liu, 2021. "A matter of time: publication dates in Web of Science Core Collection," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 849-857, January.
    7. Peng Jiang & Yi-Chung Hu & Wenbao Wang & Hang Jiang & Geng Wu, 2020. "Interval Grey Prediction Models with Forecast Combination for Energy Demand Forecasting," Mathematics, MDPI, vol. 8(6), pages 1-12, June.
    8. Abdelghani Maddi & Lesya Baudoin, 2022. "The quality of the web of science data: a longitudinal study on the completeness of authors-addresses links," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6279-6292, November.
    9. Irina Gerasimov & Binita KC & Armin Mehrabian & James Acker & Michael P. McGuire, 2024. "Comparison of datasets citation coverage in Google Scholar, Web of Science, Scopus, Crossref, and DataCite," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 3681-3704, July.
    10. Liu, Weishu, 2021. "Caveats for the use of Web of Science Core Collection in old literature retrieval and historical bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    11. Fang Liu, 2023. "Retrieval strategy and possible explanations for the abnormal growth of research publications: re-evaluating a bibliometric analysis of climate change," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 853-859, January.
    12. Liu, Weishu & Hu, Guangyuan & Tang, Li, 2018. "Missing author address information in Web of Science—An explorative study," Journal of Informetrics, Elsevier, vol. 12(3), pages 985-997.
    13. Khalid, M. & Savkin, A.V., 2012. "An optimal operation of wind energy storage system for frequency control based on model predictive control," Renewable Energy, Elsevier, vol. 48(C), pages 127-132.
    14. Weishu Liu & Rong Ni & Guangyuan Hu, 2024. "Web of Science Core Collection’s coverage expansion: the forgotten Arts & Humanities Citation Index?," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(2), pages 933-955, February.
    15. Hui Li & Kangyin Dong & Hongdian Jiang & Renjin Sun & Xiaoyue Guo & Yiqiao Fan, 2017. "Risk Assessment of China’s Overseas Oil Refining Investment Using a Fuzzy-Grey Comprehensive Evaluation Method," Sustainability, MDPI, vol. 9(5), pages 1-18, April.
    16. Junwen Zhu & Fang Liu & Weishu Liu, 2019. "The secrets behind Web of Science’s DOI search," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1745-1753, June.
    17. Weiwei Pan & Lirong Jian & Tao Liu, 2019. "Grey system theory trends from 1991 to 2018: a bibliometric analysis and visualization," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1407-1434, December.
    18. Li, Hui & Wu, Zixuan & Yuan, Xing & Yang, Yixuan & He, Xiaoqiang & Duan, Huiming, 2022. "The research on modeling and application of dynamic grey forecasting model based on energy price-energy consumption-economic growth," Energy, Elsevier, vol. 257(C).
    19. Yagang Zhang & Zheng Zhao & Yi Sun, 2013. "Synchronization Analysis of Four Symbolic Complex Dynamical Systems for Future Biology Research," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-7, July.
    20. Packiaraj Thangavel & Bibhas Chandra, 2023. "Two Decades of M-Commerce Consumer Research: A Bibliometric Analysis Using R Biblioshiny," Sustainability, MDPI, vol. 15(15), pages 1-32, August.
    21. Bai, Chunguang & Sarkis, Joseph, 2010. "Integrating sustainability into supplier selection with grey system and rough set methodologies," International Journal of Production Economics, Elsevier, vol. 124(1), pages 252-264, March.
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