IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0304888.html
   My bibliography  Save this article

The development status and future trends of lubricant additives technology: Based on patents analysis

Author

Listed:
  • Mianqing Wang
  • Hua He
  • Xi Fang
  • Hui Li

Abstract

In order to reveal the current status and future trends of lubricant additives, this study analyzes the structured and unstructured data of 77701 lubricant additive patents recorded by Patsnap. The results show that China is the country with the largest number of patents in this field, and the United States is the main exporting country of international technology flow; the current research and development of lubricant additives is dominated by multifunctional composite additives; environmentally friendly additive compositions are the current research hotspot; and more environmentally friendly and economically degradable additives have more development potential in the future. Overall, this study provides a comprehensive understanding of the research and application of lubricant additives and contributes to the future development of the lubricant industry.

Suggested Citation

  • Mianqing Wang & Hua He & Xi Fang & Hui Li, 2024. "The development status and future trends of lubricant additives technology: Based on patents analysis," PLOS ONE, Public Library of Science, vol. 19(6), pages 1-17, June.
  • Handle: RePEc:plo:pone00:0304888
    DOI: 10.1371/journal.pone.0304888
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0304888
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0304888&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0304888?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Pantano, Eleonora & Pizzi, Gabriele, 2020. "Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    2. Zhao Qu & Shanshan Zhang & Chunbo Zhang, 2017. "Patent research in the field of library and information science: Less useful or difficult to explore?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 205-217, April.
    3. Marcin Waniek & Tomasz P. Michalak & Michael J. Wooldridge & Talal Rahwan, 2018. "Hiding individuals and communities in a social network," Nature Human Behaviour, Nature, vol. 2(2), pages 139-147, February.
    4. Na Liu & Philip Shapira & Xiaoxu Yue & Jiancheng Guan, 2021. "Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-20, December.
    5. Jakkrit Thavorn & Veera Muangsin & Chupun Gowanit & Nongnuj Muangsin, 2021. "A Scientometric Assessment of Agri-Food Technology for Research Activity and Productivity," Publications, MDPI, vol. 9(4), pages 1-27, December.
    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. Zhao, Jie & Wang, Zhen & Yu, Dengxiu & Cao, Jinde & Cheong, Kang Hao, 2024. "Swarm intelligence for protecting sensitive identities in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    2. Bloch, Francis & Dutta, Bhaskar & Dziubiński, Marcin, 2020. "A game of hide and seek in networks," Journal of Economic Theory, Elsevier, vol. 190(C).
    3. Wesley Marcos Almeida & Claudimar Pereira Veiga, 2023. "Does demand forecasting matter to retailing?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(2), pages 219-232, June.
    4. Justina Sidlauskiene & Yannick Joye & Vilte Auruskeviciene, 2023. "AI-based chatbots in conversational commerce and their effects on product and price perceptions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-21, December.
    5. Aslan, Marjan & Keating, Byron W., 2025. "Providing social support in technology-based service encounters: Activating intrinsic motivations to create better outcomes," Journal of Retailing and Consumer Services, Elsevier, vol. 84(C).
    6. Habib, Muhammad Danish & Attri, Rekha & Salam, Mohammad Asif & Yaqub, Muhammad Zafar, 2025. "Retail consumers' conundrum: An in-depth qualitative study navigating the motivations and aversion of chatbots," Journal of Retailing and Consumer Services, Elsevier, vol. 82(C).
    7. Manu Sharma & Sudhanshu Joshi & Sunil Luthra & Anil Kumar, 2024. "Impact of Digital Assistant Attributes on Millennials’ Purchasing Intentions: A Multi-Group Analysis using PLS-SEM, Artificial Neural Network and fsQCA," Information Systems Frontiers, Springer, vol. 26(3), pages 943-966, June.
    8. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    9. Rahman, Muhammad Sabbir & Bag, Surajit & Hossain, Md Afnan & Abdel Fattah, Fadi Abdel Muniem & Gani, Mohammad Osman & Rana, Nripendra P., 2023. "The new wave of AI-powered luxury brands online shopping experience: The role of digital multisensory cues and customers’ engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    10. Maduku, Daniel K. & Mpinganjira, Mercy & Rana, Nripendra P. & Thusi, Philile & Ledikwe, Aobakwe & Mkhize, Njabulo Happy-boy, 2023. "Assessing customer passion, commitment, and word-of-mouth intentions in digital assistant usage: The moderating role of technology anxiety," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    11. Reza Rezazadegan & Mahdi Sharifzadeh & Christopher L. Magee, 2024. "Quantifying the progress of artificial intelligence subdomains using the patent citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(5), pages 2559-2581, May.
    12. Kayeser Fatima, Johra & Khan, Md Irfanuzzaman & Bahmannia, Somayeh & Chatrath, Sarvjeet Kaur & Dale, Naomi F. & Johns, Raechel, 2024. "Rapport with a chatbot? The underlying role of anthropomorphism in socio-cognitive perceptions of rapport and e-word of mouth," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    13. Poushneh, Atieh, 2021. "Humanizing voice assistant: The impact of voice assistant personality on consumers’ attitudes and behaviors," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    14. Jaehyuk Park, 2024. "Analyzing the direct role of governmental organizations in artificial intelligence innovation," The Journal of Technology Transfer, Springer, vol. 49(2), pages 437-465, April.
    15. Hu, Qian & Pan, Zhao, 2023. "Can AI benefit individual resilience? The mediation roles of AI routinization and infusion," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    16. Youngsam Chun & Junseok Hwang, 2025. "The Nexus of Artificial Intelligence and Green Innovation: a Cross-Density Analysis at the Country Level," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 1688-1716, March.
    17. Jan, Ihsan Ullah & Ji, Seonggoo & Kim, Changju, 2023. "What (de) motivates customers to use AI-powered conversational agents for shopping? The extended behavioral reasoning perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    18. Ruan, Yanya & Mezei, József, 2022. "When do AI chatbots lead to higher customer satisfaction than human frontline employees in online shopping assistance? Considering product attribute type," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    19. Zogaj, Adnan & Mähner, Philipp M. & Yang, Linyu & Tscheulin, Dieter K., 2023. "It’s a Match! The effects of chatbot anthropomorphization and chatbot gender on consumer behavior," Journal of Business Research, Elsevier, vol. 155(PA).
    20. Singh, Shiwangi & Sai Vijay, Tata, 2024. "Technology roadmapping for the e-commerce sector: A text-mining approach," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0304888. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.