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

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

Authors
Jiashuo Xu1, 2, Zhouli Liu1, 2, *, Xin Wang1, 3, Shuyan Zhang1, 3, Mingran Xin1, 2
1College of Life Science and Engineering, Shenyang University, Shenyang, 110044, China
2Northeast Geological S&T Innovation Center of China Geological Survey, Shenyang, 110000, China
3Key Laboratory of Black Soil Evolution and Ecological Effect, Ministry of Natural Resources, Shenyang, 110000, China
*Corresponding author. Email: sydx2021@163.com
Corresponding Author
Zhouli Liu
Available Online 20 April 2026.
DOI
10.2991/978-94-6239-640-1_8How to use a DOI?
Keywords
soil organic carbon; Citespace analysis; CNKI database; research landscape
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.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
20 April 2026
ISBN
978-94-6239-640-1
ISSN
2352-5428
DOI
10.2991/978-94-6239-640-1_8How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Jiashuo Xu
AU  - Zhouli Liu
AU  - Xin Wang
AU  - Shuyan Zhang
AU  - Mingran Xin
PY  - 2026
DA  - 2026/04/20
TI  - Mapping the Landscape of Soil Organic Carbon Research in China from 1995 to 2024: A Computational Analysis Using CiteSpace and CNKI Database
BT  - Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)
PB  - Atlantis Press
SP  - 79
EP  - 90
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-640-1_8
DO  - 10.2991/978-94-6239-640-1_8
ID  - Xu2026
ER  -