| Literature DB >> 35874983 |
Linghao Mao1, Yiling Zhu2, Chunhua Ju1,3, Fuguang Bao1,3,4, Chonghuan Xu4,5.
Abstract
The visual analysis of carbon neutrality research can help better understand the development of the research field and explore the difficulties and hot spots in the research, thus making contributions to "carbon emission reduction," environmental protection and human health. This paper makes a visual quantitative analysis of 2,819 research papers published in top international journals from 2008 to 2021 in the WOS core database. It is found that China, the United States, Britain, and Germany are leading the way in carbon neutrality research. The research hotspots are mainly divided into three dimensions: (1) biomass energy and the negative effects it might bring; (2) ways and methods of electrochemical reduction of carbon dioxide; (3) catalysts and catalytic environment. The research mainly went through the conceptual period of 1997-2007, the exploration period of bioenergy from 2008 to 2021, the criticized period of bioenergy sources from 2011 to 2013, and the carbon dioxide electroreduction period from 2013 to the present. In the future, the research direction of biomass energy is to find one kind of biomass energy source which can be stored in a low-carbon way, produced in large quantities at a low cost, and will not occupy forestland. The electrolysis of water to produce hydrogen and the synthesis of fuel with CO2 are two major research directions at present, whose aims are to find the suitable catalyst and environment for the reaction. Besides, more research can be done on "carbon neutrality" policies so as to reduce carbon dioxide emissions from the source, develop a low-carbon economy and protect human health.Entities:
Keywords: CiteSpace; carbon neutrality; human health; knowledge map; research hotspots
Mesh:
Substances:
Year: 2022 PMID: 35874983 PMCID: PMC9298964 DOI: 10.3389/fpubh.2022.896161
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1The analysis diagram of carbon neutral development.
Figure 2The knowledge map of major partnerships in high-yielding countries conducting carbon neutrality studies.
Figure 4Distribution of countries with high centrality in the study of carbon neutrality.
Figure 5The co-citation map of literatures on carbon neutrality.
Clustering based on different algorithms.
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| 0 | 94 | CO2 electroreduction | Geometric modulation | 2017 |
| 1 | 91 | Bioenergy | Global warming potential | 2010 |
| 2 | 80 | Biodiesel | Microalgal biomass | 2008 |
| 3 | 69 | CO2 reduction | 3d electrodes | 2013 |
| 4 | 51 | Energy storage | Techno-economic analysis | 2014 |
| 5 | 43 | Biohydrogen | Triacyl glycerides | 2006 |
| 8 | 30 | Water splitting | Photosystem ii | 2010 |
| 9 | 22 | Electrolysis | Lime kiln | 2008 |
| 11 | 9 | Air capture | Air capture | 2006 |
| 13 | 8 | Mount keith nickel mine | Mount keith nickel mine | 2011 |
| 19 | 5 | Single-atom catalysts | Single-atom catalysts | 2017 |
Top 16 references with the strongest citation bursts (2008–2021).
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| #1 | Chisti Y, 2007, BIOTECHNOL ADV, V25, P294 | 13.68 | 2008 | 2012 |
| #2 | Searchinger T, 2008, SCIENCE, V319, P1238 | 11.18 | 2009 | 2012 |
| #3 | Fargione J, 2008, SCIENCE, V319, P1235 | 10.72 | 2009 | 2013 |
| #4 | Searchinger TD, 2009, SCIENCE, V326, P527 | 9.6 | 2010 | 2013 |
| #5 | Hu Q, 2008, PLANT J, V54, P621 | 6.97 | 2010 | 2012 |
| #6 | Mckechnie J, 2011, ENVIRON SCI TECHNOL, V45, P789 | 12.65 | 2011 | 2016 |
| #7 | Cherubini F, 2011, GCB BIOENERGY, V3, P413 | 10.99 | 2012 | 2016 |
| #8 | Repo A, 2011, GCB BIOENERGY, V3, P107 | 7.32 | 2012 | 2015 |
| #9 | Holtsmark B, 2012, CLIMATIC CHANGE, V112, P415 | 6.25 | 2013 | 2016 |
| #10 | Qiao JL, 2014, CHEM SOC REV, V43, P631 | 7.41 | 2017 | 2019 |
| #11 | Lu Q, 2014, NAT COMMUN, V5, P0 | 6.95 | 2017 | 2019 |
| #12 | Zhang S, 2014, J AM CHEM SOC, V136, P1734 | 5.55 | 2017 | 2019 |
| #13 | Kortlever R, 2015, J PHYS CHEM LETT, V6, P4073 | 5.94 | 2018 | 2021 |
| #14 | Gao S, 2016, NATURE, V529, P68 | 5.44 | 2018 | 2021 |
Top 19 keywords with the strongest citation bursts.
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| Biofuel | 14.61 |
| 2008–2017 |
| Energy | 6.18 |
| 2008–2015 |
| Fuel | 5.84 |
| 2008–2014 |
| Biodiesel | 5.62 |
| 2008–2014 |
| Carbon sequestration | 7.3 |
| 2009–2016 |
| Vegetable oil | 5.66 |
| 2009–2012 |
| Ethanol | 5.34 |
| 2009–2016 |
| Bioenergy | 8.3 |
| 2010–2017 |
| Escherichia coli | 6.62 |
| 2010–2018 |
| Climate change | 9.26 |
| 2011–2017 |
| Management | 5.31 |
| 2012–2016 |
| Balance | 5.12 |
| 2013–2016 |
| Pyrolysis | 4.92 |
| 2014–2019 |
| Dioxide | 5.34 |
| 2015–2019 |
| Generation | 4.82 |
| 2015–2017 |
| CO2 reduction | 6.82 |
| 2016–2018 |
| Hydrogen | 5.21 |
| 2018–2019 |
| Bio oil | 4.69 |
| 2018–2021 |
| Electroreduction | 10.93 |
| 2019–2021 |
Figure 7The frontier time zone diagram for keywords.
Figure 6Keywords co-occurrence map.
Figure 8Impact flow diagram of highly cited literature.