A bibliometric review: Energy consumption and greenhouse gas emissions in the residential sector

Geng, Yong; Chen, Wei; Liu, Zhe; Chiu, Anthony S.F.; Han, Wenyi; Liu, Zhiqing; Zhong, Shengyi; Qian, Yiying; You, Wei; Cui, Xiaowei

doi:10.1016/j.jclepro.2017.05.091

Cited by 140 publications

(71 citation statements)

References 107 publications

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“…The relationb etween energy consumption and greenhouse gas emissions has been investigatedt horoughly and confirmed [1] and the role of the residential sector in globalw arming has been pointed out to be significant. [2] The building sector accountsf or approximately 40 %o fp rimary energy consumption in first world countries and 20-30 %g lobally. [3] Energy losses via windows, walls, light, miscellaneous electric loads or plug loads,e tc.,s ignificantly impact the degree of energy consumption in buildings.…”

Section: Introductionmentioning

confidence: 99%

Luminescent Solar Concentrators Based on Renewable Polyester Matrices

Geervliet

Gavrila

Iasilli

et al. 2018

Chemistry An Asian Journal

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This study reports for the first time the use of bio‐based alternatives for PMMA as host matrix for luminescent solar concentrators (LSCs). Notably, two types of renewable polyesters were synthesized in varying molar ratios via a two‐step melt‐polycondensation reaction with dibutyl tin oxide as catalyst. The first is a homopolymer of diethyl 2,3:4,5‐di‐O‐methylene galactarate (GxMe) and isosorbide (IGPn), and the second is a random copolymer of GxMe with 1,3‐propanediol and dimethyl terephthalate (GTPn). The two polyesters were found to be optically transparent, totally amorphous with a Tg higher than 45 °C and temperature resistance comparable to PMMA. Lumogen Red (LR) and an aggregation‐induced emission (AIE) fluorophore, TPETPAFN, were utilized as fluorophores and the derived thin polymer films (25 μm) were found highly homogeneous, especially for those prepared from GTPn, possibly due to the presence of compatibilizing terephthalate units in the matrix composition and the higher molecular weight. The spectroscopic characterization and the optical efficiency determination (ηopt) evidenced LSCs performances similar or superior to those collected from LR/PMMA thin films. Noteworthy, ηopt of 7.7 % and 7.1 % were recorded for the GTPn‐based matrix containing LR and TPETPAFN, respectively, thus definitely supporting the bio‐based polyesters as renewable and highly fluorophore‐compatible matrices for high‐performance LSCs.

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Section: Introductionmentioning

confidence: 99%

Luminescent Solar Concentrators Based on Renewable Polyester Matrices

Geervliet

Gavrila

Iasilli

et al. 2018

Chemistry An Asian Journal

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“…2. The type of the papers must be 'article', on account that they usually provide more original research findings and contain explicit information about authors and their institutes [19];…”

Section: Data Preparationmentioning

confidence: 99%

Topics and trends in artificial intelligence assisted human brain research

Chen

Cheng

et al. 2020

PLoS ONE

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Artificial intelligence (AI) assisted human brain research is a dynamic interdisciplinary field with great interest, rich literature, and huge diversity. The diversity in research topics and technologies keeps increasing along with the tremendous growth in application scope of AIassisted human brain research. A comprehensive understanding of this field is necessary to assess research efficacy, (re)allocate research resources, and conduct collaborations. This paper combines the structural topic modeling (STM) with the bibliometric analysis to automatically identify prominent research topics from the large-scale, unstructured text of AIassisted human brain research publications in the past decade. Analyses on topical trends, correlations, and clusters reveal distinct developmental trends of these topics, promising research orientations, and diverse topical distributions in influential countries/regions and research institutes. These findings help better understand scientific and technological AIassisted human brain research, provide insightful guidance for resource (re)allocation, and promote effective international collaborations.

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“…However, authors can cite their own articles, or some citations can be negative. Thus, total citations do not always indicate the true value of an article (Geng et al, 2017).…”

Section: Citation Analysismentioning

confidence: 99%

An overview of applications in pineapple agroindustrial residues

Lima

Simões

Vieira

et al. 2018

AAS

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Industrial food production causes a high amount of waste. This waste must be taken to a suitable location where it can be further processing. During industrial processing of the pineapple, about 50 % of the mass of the fruit ends up being discarded becoming a residue. Researchers have studied these residues in order to add value to these by-products, to reduce disposal costs and guarantee environmental sustainability. This work investigates the development characteristics of research on agroindustrial residues of pineapple based on bibliometric methods to explore the structure of knowledge in this field over the years, according to the year of publication, periodicals, country, authors, area of knowledge, institutions, keywords, subject type, and citation analysis. In total 927 articles were found and after a careful analysis and selection of papers, 364 articles remained of which 82 % were published only in the last decade. Most studies focused on agricultural and biological sciences. About 1183 authors from 50 different countries contributed to this subject, in which India has the largest number of publications. The results obtained with this study, highlighting the different uses for pineapple residues, can provide valuable information for researchers interested in the field of agroindustrial wastes.

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A bibliometric review: Energy consumption and greenhouse gas emissions in the residential sector

Cited by 140 publications

References 107 publications

Luminescent Solar Concentrators Based on Renewable Polyester Matrices

Luminescent Solar Concentrators Based on Renewable Polyester Matrices

Topics and trends in artificial intelligence assisted human brain research

An overview of applications in pineapple agroindustrial residues

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