Knowledge Domain and Emerging Trends in Organic Photovoltaic Technology: A Scientometric Review Based on CiteSpace Analysis

Xiao, Fengjun; Li, Chengzhi; Sun, Jiangman; Zhang, Lianjie

doi:10.3389/fchem.2017.00067

Cited by 92 publications

(75 citation statements)

References 52 publications

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“…(3) We selected top 50 levels of most-cited or occurred items from each slice for countries, institutions, categories, and keyword. This criterion was recommended in many previous studies [34,35]. For the author, we selected top 20 levels of most-cited or frequently occurring items from each slice, which ensured that we obtained the most prominent author; (4) Pruning = pathfinder and pruning of the merged network.…”

Section: Analysis Tools and Methodsmentioning

confidence: 99%

“…Term cluster analysis can organize similar terms together and generate clusters on the basis of these terms that represent corresponding research areas. In this process, we used log-likelihood ratio (LLR) method to label the clusters, which enabled us to obtain the best result in terms of the uniqueness and coverage of themes within a cluster [35]. Figure 9 presents the term-based network from 1980-2018.…”

Section: Term Co-occurrence Network Analysismentioning

confidence: 99%

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A Bibliometric Analysis of Research on Acid Rain

et al. 2019

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With the continuation of industrialization and urbanization, acid rain (AR) has aroused extensive concern because of its potential negative effects on ecosystems. However, analysis of the current status and development trends in AR research area has seldom been systematically studied. Therefore, we motivated to conduct a bibliometric analysis of AR publications (1900–2018) using HistCite and CiteSpace software programs. Compared to traditional reviews by experts, this study offers an alternative method to quantitatively analyze and visualize the development of AR field at a large time scale. The results indicated that the overall concern of AR research studies had increased from 1900 to 2018. The most productive country was the United States, while the institution with the most publications was Chinese Academy of Sciences. “Environmental Sciences” was the most popular subject category, Water, Air, and Soil Pollution was the dominant journal, and C.T. Driscoll was the most prominent author in AR field. There were three hotspots in the field of AR, including analyzing AR status and its control policies in Europe, the United States, and China in the past few decades, investigating the ecological consequences of AR on plant histological, physiological, and biochemical traits, as well as surface water and soil properties, and the model application for quantitatively assessing AR and its effects on terrestrial and aquatic ecosystems at regional scale. Further, “behavior”, “phosphorus”, “fractionation”, “soil acidification”, “corrosion”, “performance”, “recovery”, “rainwater”, “trace element”, and “surface water” have been emerging active topics in recent years. This study can help new researchers to find out the most relevant subject categories, countries, institutions, journals, authors, and articles, and identify research trends and frontiers in the field of AR.

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Section: Analysis Tools and Methodsmentioning

confidence: 99%

Section: Term Co-occurrence Network Analysismentioning

confidence: 99%

A Bibliometric Analysis of Research on Acid Rain

et al. 2019

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“…To some extent, information visualization offers a quick independent scientific judgment of the objective evidences [29]. CiteSpace, Ucinet, Pajek, His cite, and Ref Viez 3 are software that researchers used mostly to do information visualization analysis, among which CiteSpace is the most popular one [30,31]. CiteSpace, a Java-based application developed by the Chaomei Chen professor who is Changjiang Scholar from Dalian University of Technology, can display the abstracted data in the visual form and facilitates further data analysis, rule discovery, and decision-making.…”

Section: Methods and Toolsmentioning

confidence: 99%

Hot Topics and Fronts in E-health Research: A Scientometric Analysis in CiteSpace

Ji¹,

Li²,

Feng³

et al. 2017

Preprint

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“…Additionally, the text has been used as features to represent protein structures and subsequently predict their characteristics computationally [55]. Other useful applications of TM and NLP have been reported in the literature [56][57][58][59][60][61].…”

Section: Exploring Voluminous Informationmentioning

confidence: 99%

DES-ROD: Exploring Literature to Develop New Links between RNA Oxidation and Human Diseases

Essack

Salhi

Neste

et al. 2020

Oxidative Medicine and Cellular Longevity

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Normal cellular physiology and biochemical processes require undamaged RNA molecules. However, RNAs are frequently subjected to oxidative damage. Overproduction of reactive oxygen species (ROS) leads to RNA oxidation and disturbs redox (oxidation-reduction reaction) homeostasis. When oxidation damage affects RNA carrying protein-coding information, this may result in the synthesis of aberrant proteins as well as a lower efficiency of translation. Both of these, as well as imbalanced redox homeostasis, may lead to numerous human diseases. The number of studies on the effects of RNA oxidative damage in mammals is increasing by year due to the understanding that this oxidation fundamentally leads to numerous human diseases. To enable researchers in this field to explore information relevant to RNA oxidation and effects on human diseases, we developed DES-ROD, an online knowledgebase that contains processed information from 298,603 relevant documents that consist of PubMed abstracts and PubMed Central full-text articles. The system utilizes concepts/terms from 38 curated thematic dictionaries mapped to the analyzed documents. Researchers can explore enriched concepts, as well as enriched pairs of putatively associated concepts. In this way, one can explore mutual relationships between any combinations of two concepts from used dictionaries. Dictionaries cover a wide range of biomedical topics, such as human genes and proteins, pathways, Gene Ontology categories, mutations, noncoding RNAs, enzymes, toxins, metabolites, and diseases. This makes insights into different facets of the effects of RNA oxidation and the control of this process possible. The usefulness of the DES-ROD system is demonstrated by case studies on some known information, as well as potentially novel information involving RNA oxidation and diseases. DES-ROD is the first knowledgebase based on text and data mining that focused on the exploration of RNA oxidation and human diseases.

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Knowledge Domain and Emerging Trends in Organic Photovoltaic Technology: A Scientometric Review Based on CiteSpace Analysis

Cited by 92 publications

References 52 publications

A Bibliometric Analysis of Research on Acid Rain

A Bibliometric Analysis of Research on Acid Rain

Hot Topics and Fronts in E-health Research: A Scientometric Analysis in CiteSpace

DES-ROD: Exploring Literature to Develop New Links between RNA Oxidation and Human Diseases

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