Knowledge Structure and Frontier Evolution of Research on Nickel Deposits

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Опубликовано в::Minerals vol. 15, no. 5 (2025), p. 464
Главный автор: Liu, Ran
Другие авторы: Cai Pengjie, Chen, Xin
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MDPI AG
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100 1 |a Liu, Ran  |u Beijing Smartchip Microelectronics Technology Co., Ltd., Beijing 102200, China; liuran8864@163.com 
245 1 |a Knowledge Structure and Frontier Evolution of Research on Nickel Deposits 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Nickel (Ni) resources are critical for the development of modern industry. This study investigates the knowledge structure and frontier evolution of Ni deposit research by constructing a domain-specific knowledge graph using bibliometric analysis and semantic extraction from 7090 publications (1966–2024) sourced from the Web of Science Core Collection. The results show that Ni research has three distinct phases: slow growth (1966–1990), early growth (1991–2010), and rapid expansion (2011–present). The collaborative network of institutions in which articles are published forms three regional clusters centered on China, Russia, and Australia. Keyword burst analysis identifies emerging frontiers, including sulfur isotopes, pyrite geochemistry, and LA-ICP-MS applications. Temporal keyword analysis identifies “platinum-group minerals”, “ore-forming fluids”, “isotopic analysis”, and “Eastern Tianshan” interactions as five pivotal research frontiers in nickel deposit studies. The knowledge graph framework demonstrates significant potential in mitigating data fragmentation, enhancing interdisciplinary data accessibility, and guiding future exploration strategies. This study shows the important role of knowledge maps in optimizing the study of nickel deposits. 
651 4 |a Canada 
651 4 |a Australia 
651 4 |a United States--US 
653 |a Platinum 
653 |a Software 
653 |a Citations 
653 |a Nickel 
653 |a Trends 
653 |a Geochemistry 
653 |a Sulfur 
653 |a Interdisciplinary aspects 
653 |a Data processing 
653 |a Pyrite 
653 |a Keywords 
653 |a Knowledge representation 
653 |a Bibliographic coupling 
653 |a Evolution 
653 |a Big Data 
653 |a Sulphur 
653 |a Research methodology 
653 |a Bibliometrics 
653 |a Artificial intelligence 
653 |a Isotopes 
653 |a Cocitation 
653 |a Knowledge 
653 |a Fluids 
653 |a Earth science 
653 |a Sulfur isotopes 
653 |a Semantics 
700 1 |a Cai Pengjie  |u IMM (Institute of Mantle and Metallogenesis), State Key Laboratory of Critical Earth Material Cycling and Mineral Deposits, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China 
700 1 |a Chen, Xin  |u Collaborative Innovation Center for Exploration of Strategic Mineral Resources, State Key Laboratory of Geological Processes and Mineral Resources, School of Earth Resources, China University of Geosciences, Wuhan 430074, China 
773 0 |t Minerals  |g vol. 15, no. 5 (2025), p. 464 
786 0 |d ProQuest  |t ABI/INFORM Global 
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