IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i22p14753-d967448.html
   My bibliography  Save this article

Bibliometric Network Analysis of Trends in Cyclone Separator Research: Research Gaps and Future Direction

Author

Listed:
  • Frimpong J. Alex

    (School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China
    Mechanical Engineering Department, Faculty of Engineering, Kumasi Technical University, Kumasi 00233, Ghana)

  • Gangfeng Tan

    (School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China)

  • Philip K. Agyeman

    (School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China
    Mechanical Engineering Department, College of Engineering, Kwame Nkrumah University of Science and Technology, Kumasi 00233, Ghana)

  • Prince O. Ansah

    (Mechanical Engineering Department, Faculty of Engineering, Kumasi Technical University, Kumasi 00233, Ghana)

  • Isaac O. Olayode

    (Mechanical and Industrial Engineering Technology Department, University of Johannesburg, Johannesburg P.O. Box 2028, South Africa)

  • Jamshid V. Fayzullayevich

    (School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China)

  • Shuang Liang

    (Suizhou-Wuhan University of Technology Industry Research Institute, Suizhou 441300, China)

Abstract

Cyclone separators are used extensively in diverse applications and research domains to collect particle-laden flows. Despite the technological advances in this field, no bibliometric reports on this topic have been documented. Understanding the state of the art in this field is crucial for future research. Using bibliometric mapping techniques, this study examined the quality, quantity, and development of research on cyclone separators. Relevant data were extracted in plain text formats through search queries refined by publication year (2000–2021) and document type (article and review articles). A sample of 487 publications, limited to the Web of Science Core Collection (WoSCC) database was used for the bibliometric analysis. Data analysis was performed using RStudio software package (R Bibliometrix tool). Of the 487 publications that appeared during this period, China had the highest number, followed by the Islamic Republic of Iran, whereas chemical engineering journals dominated the cyclone separator research publications. Collaboration among the researchers was low (MCPR < 0.5000). Furthermore, the pattern of single-author publications was found to outstrip that of the multiple-author publications. The findings suggest that researchers in various parts of the world, particularly Africa and the Middle East, should route their research efforts towards this field, in light of the lack of publications from these regions on this subject. The aim of this study was to serve as a seminal reference for potential technological research directions and collaboration among researchers in this and other related fields.

Suggested Citation

  • Frimpong J. Alex & Gangfeng Tan & Philip K. Agyeman & Prince O. Ansah & Isaac O. Olayode & Jamshid V. Fayzullayevich & Shuang Liang, 2022. "Bibliometric Network Analysis of Trends in Cyclone Separator Research: Research Gaps and Future Direction," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:14753-:d:967448
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/22/14753/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/22/14753/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Ping Zhou & Robert Tijssen & Loet Leydesdorff, 2016. "University-Industry Collaboration in China and the USA: A Bibliometric Comparison," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-18, November.
    3. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    4. 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).
    5. Mason Youngblood & David Lahti, 2018. "A bibliometric analysis of the interdisciplinary field of cultural evolution," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-9, December.
    6. Mason Youngblood & David Lahti, 2018. "Correction: A bibliometric analysis of the interdisciplinary field of cultural evolution," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-2, December.
    7. Qikai Cheng & Jiamin Wang & Wei Lu & Yong Huang & Yi Bu, 2020. "Keyword-citation-keyword network: a new perspective of discipline knowledge structure analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 1923-1943, September.
    8. Jinfang Sun & Zhichao Zhou & Jing Huang & Guoxing Li, 2020. "A Bibliometric Analysis of the Impacts of Air Pollution on Children," IJERPH, MDPI, vol. 17(4), pages 1-11, February.
    9. Dag W. Aksnes & Liv Langfeldt & Paul Wouters, 2019. "Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories," SAGE Open, , vol. 9(1), pages 21582440198, February.
    10. Polat, Zeynel Abidin & Alkan, Mehmet & Paulsson, Jenny & Paasch, Jesper M. & Kalogianni, Eftychia, 2022. "Global scientific production on LADM-based research: A bibliometric analysis from 2012 to 2020," Land Use Policy, Elsevier, vol. 112(C).
    11. Lucy Semerjian & Kunle Okaiyeto & Mike O. Ojemaye & Temitope Cyrus Ekundayo & Aboi Igwaran & Anthony I. Okoh, 2021. "Global Systematic Mapping of Road Dust Research from 1906 to 2020: Research Gaps and Future Direction," Sustainability, MDPI, vol. 13(20), pages 1-21, October.
    12. Ziqiang Liu & Jiayue Yang & Jiaen Zhang & Huimin Xiang & Hui Wei, 2019. "A Bibliometric Analysis of Research on Acid Rain," Sustainability, MDPI, vol. 11(11), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lucy Semerjian & Kunle Okaiyeto & Mike O. Ojemaye & Temitope Cyrus Ekundayo & Aboi Igwaran & Anthony I. Okoh, 2021. "Global Systematic Mapping of Road Dust Research from 1906 to 2020: Research Gaps and Future Direction," Sustainability, MDPI, vol. 13(20), pages 1-21, October.
    2. Bakır, Mahmut & Özdemir, Emircan & Akan, Şahap & Atalık, Özlem, 2022. "A bibliometric analysis of airport service quality," Journal of Air Transport Management, Elsevier, vol. 104(C).
    3. David N. Matzig & Clemens Schmid & Felix Riede, 2023. "Mapping the field of cultural evolutionary theory and methods in archaeology using bibliometric methods," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.
    4. Jin Su & Mo Wang & Mohd Adib Mohammad Razi & Norlida Mohd Dom & Noralfishah Sulaiman & Lai-Wai Tan, 2023. "A Bibliometric Review of Nature-Based Solutions on Urban Stormwater Management," Sustainability, MDPI, vol. 15(9), pages 1-23, April.
    5. Hussain, Syed Mujahid & Ahmad, Nisar & Ahmed, Sheraz, 2023. "Applications of high-frequency data in finance: A bibliometric literature review," International Review of Financial Analysis, Elsevier, vol. 89(C).
    6. Arash Najmaei & Zahra Sadeghinejad, 2023. "Green and sustainable business models: historical roots, growth trajectory, conceptual architecture and an agenda for future research—A bibliometric review of green and sustainable business models," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 957-999, February.
    7. Sónia Rolland Sobral, 2021. "Teaching and Learning to Program: Umbrella Review of Introductory Programming in Higher Education," Mathematics, MDPI, vol. 9(15), pages 1-23, July.
    8. Shuangqing Sheng & Wei Song & Hua Lian & Lei Ning, 2022. "Review of Urban Land Management Based on Bibliometrics," Land, MDPI, vol. 11(11), pages 1-25, November.
    9. Gour Gobinda Goswami & Tahmid Labib, 2022. "Modeling COVID-19 Transmission Dynamics: A Bibliometric Review," IJERPH, MDPI, vol. 19(21), pages 1-19, October.
    10. Das, Kallol & Patel, Jayesh D. & Sharma, Anuj & Shukla, Yupal, 2023. "Creativity in marketing: Examining the intellectual structure using scientometric analysis and topic modeling," Journal of Business Research, Elsevier, vol. 154(C).
    11. Ying Liang & Wei Song, 2022. "Ecological and Environmental Effects of Land Use and Cover Changes on the Qinghai-Tibetan Plateau: A Bibliometric Review," Land, MDPI, vol. 11(12), pages 1-23, November.
    12. Lanzalonga Federico & Chmet Federico & Petrolo Basilio & Brescia Valerio, 2023. "Exploring Diversity Management to Avoid Social Washing and Pinkwashing: Using Bibliometric Analysis to Shape Future Research Directions," Journal of Intercultural Management, Sciendo, vol. 15(1), pages 41-65, March.
    13. Zhichao Wang & Valentin Zelenyuk, 2021. "Performance Analysis of Hospitals in Australia and its Peers: A Systematic Review," CEPA Working Papers Series WP012021, School of Economics, University of Queensland, Australia.
    14. Hutchinson, Mark C. & Lucey, Brian, 2024. "A bibliometric and systemic literature review of biodiversity finance," Finance Research Letters, Elsevier, vol. 64(C).
    15. Ballouk, Hossein & Ben Jabeur, Sami & Challita, Sandra & Chen, Chaomei, 2024. "Financial stability: A scientometric analysis and research agenda," Research in International Business and Finance, Elsevier, vol. 70(PA).
    16. Dennis Opoku Boadu & Justice Kwame Appati & Joseph Agyapong Mensah, 2024. "Exploring the Effectiveness of Graph-based Computational Models in COVID-19 Research," SN Operations Research Forum, Springer, vol. 5(3), pages 1-41, September.
    17. Manta Eduard Mihai & Davidescu Adriana Ana Maria & Geambasu Maria Cristina & Florescu Margareta Stela, 2023. "Exploring the research area of direct taxation. An empirical analysis based on bibliometric analysis results," Management & Marketing, Sciendo, vol. 18(s1), pages 355-383, December.
    18. Khan, Ashraf & Goodell, John W. & Hassan, M. Kabir & Paltrinieri, Andrea, 2022. "A bibliometric review of finance bibliometric papers," Finance Research Letters, Elsevier, vol. 47(PA).
    19. Ajjima Jiravichai & Ruth Banomyong, 2022. "A Proposed Methodology for Literature Review on Operational Risk Management in Banks," Risks, MDPI, vol. 10(5), pages 1-18, May.
    20. Deepa Sharma & Suman Chakraborty & Ashwath Ananda Rao & Lumen Shawn Lobo, 2023. "The Relationship of Corporate Social Responsibility and Firm Performance: A Bibliometric Overview," SAGE Open, , vol. 13(1), pages 21582440231, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:14753-:d:967448. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.