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Visualization and Analysis of Mapping Knowledge Domains for Food Waste Studies

Author

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  • Yiran Ouyang

    (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China)

  • Yanpeng Cai

    (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China
    Institute for Energy, Environment, and Sustainable Communities, University of Regina, Regina, SK S4S 0A2, Canada)

  • Hongjiang Guo

    (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China)

Abstract

Food waste and loss is a global issue involving ethics, society, the environment, and the economy. However, there is a lack of systematic and visual scientific knowledge and graph methods to study the precedents of this field’s development over time. The article is based on the scientific knowledge graph research of articles published in the past 22 years to review the latest food waste research developments. The study will be conducted from the following perspectives: country/region, institution, author, journal, keyword co-occurrence, and article co-citation. It turns out that in the past eight years, food waste research has grown rapidly. A total of 8298 research articles have been published in 8064 journals and 176 Web of Science (WOS) subject categories. Research shows in the past 20 years. The main research hotspots were anaerobic digestion, biogas production, composting, biological hydrogen production, and innovation in system management methods. In the future, efficient and multitask biological value-added conversion technology, systematization of food-supply-chain decision-making aid models, and research on differences in management strategies may become the frontiers of research.

Suggested Citation

  • Yiran Ouyang & Yanpeng Cai & Hongjiang Guo, 2021. "Visualization and Analysis of Mapping Knowledge Domains for Food Waste Studies," IJERPH, MDPI, vol. 18(10), pages 1-17, May.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:10:p:5143-:d:553414
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    References listed on IDEAS

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    1. Iwona Gorzeń-Mitka & Beata Bilska & Marzena Tomaszewska & Danuta Kołożyn-Krajewska, 2020. "Mapping the Structure of Food Waste Management Research: A Co-Keyword Analysis," IJERPH, MDPI, vol. 17(13), pages 1-31, July.
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    Cited by:

    1. Wai-Ming To, 2022. "A Bibliometric Analysis of World Issues—Social, Political, Economic, and Environmental Dimensions," World, MDPI, vol. 3(3), pages 1-20, August.
    2. Pierre-Emmanuel Arduin & Doudja Saïdi Kabeche, 2022. "Dignity in Food Aid Logistics Is Also a Knowledge Management and Digital Matter: Three Inspiring Initiatives in France," Post-Print hal-04157030, HAL.

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