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Mapping the Landscape of Soil Organic Carbon Research in China from 1995 to 2024: A Computational Analysis Using CiteSpace and CNKI Database

In: Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)

Author

Listed:
  • Jiashuo Xu

    (Shenyang University, College of Life Science and Engineering
    Northeast Geological S&T Innovation Center of China Geological Survey)

  • Zhouli Liu

    (Shenyang University, College of Life Science and Engineering
    Northeast Geological S&T Innovation Center of China Geological Survey)

  • Xin Wang

    (Shenyang University, College of Life Science and Engineering
    Key Laboratory of Black Soil Evolution and Ecological Effect, Ministry of Natural Resources)

  • Shuyan Zhang

    (Shenyang University, College of Life Science and Engineering
    Key Laboratory of Black Soil Evolution and Ecological Effect, Ministry of Natural Resources)

  • Mingran Xin

    (Shenyang University, College of Life Science and Engineering
    Northeast Geological S&T Innovation Center of China Geological Survey)

Abstract

Soil organic carbon (SOC) is critical for soil structure improvement, climate change mitigation, and ecological balance maintenance. This study leverages advanced computational tools to map the landscape of SOC research in China over the past three decades (1995–2024). Utilizing CiteSpace 6.3.R1 software, we conducted a comprehensive visual analysis of 17,020 relevant papers sourced from the China National Knowledge Infrastructure (CNKI) database. Our computational approach involved data mining, keyword extraction, and network visualization to uncover trends and hotspots in the field. The results indicate: (1) A significant increase in the number of publications, with average annual publications reaching 9, 762, 1,654, and 2,038 in four distinct developmental periods, reflecting a growing research emphasis in China; (2) The University of Chinese Academy of Sciences emerged as the leading institution with 691 publications, though interdisciplinary collaboration remains limited; (3) Keyword frequency analysis identified biochar, microorganisms, community structure, and organic carbon components as current research hotspots. This study demonstrates the power of computational methods in analyzing large-scale scientific literature and provides valuable insights for future research directions in SOC.

Suggested Citation

  • Jiashuo Xu & Zhouli Liu & Xin Wang & Shuyan Zhang & Mingran Xin, 2026. "Mapping the Landscape of Soil Organic Carbon Research in China from 1995 to 2024: A Computational Analysis Using CiteSpace and CNKI Database," Advances in Economics, Business and Management Research, in: Hongbo Li & Daowen Qiu & Hui An & Yahua Xu & Liew Chee Yoong (ed.), Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026), pages 79-90, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6239-640-1_8
    DOI: 10.2991/978-94-6239-640-1_8
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