A review of supply chain coordination management based on bibliometric data

Xue, Jian; Zhang, Wenjing; Rasool, Zeeshan; Zhou, Jian

doi:10.1016/j.aej.2022.04.013

Cited by 15 publications

(13 citation statements)

References 69 publications

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“…Based on the co-occurrence relationship of keywords, we calculated a clustering modularity Q = 0.7548 (significantly greater than 0.3) and an average silhouette S = 0.8749 (significantly greater than 0.7). These numerical indicators prove that the clustering structure derived from this study is significant, reasonable and credible [48].…”

Section: Keyword Clustering Analysissupporting

confidence: 64%

Corrosion inhibition effects of organic compounds on carbon steel research progress: a visualization analysis based on CiteSpace

Jia,

Wang,

Liu

2023

Mater. Res. Express

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This study systematically reviews the progress of research on the corrosion inhibition effects of organic compounds on carbon steel since 2002, using the CiteSpace bibliometric tool. Through the analysis of 2,264 articles from the WOS (Web of Science) and Scopus databases, our team delved into aspects such as annual publication volume, authors, institutions, countries and keywords which helped identify the current research focus in this field. In particular, the protective efficacy of organic compounds on carbon steel in acidic environments has been highlighted. It is evident that the integration of coating technology, the development of organic compound derivatives and the extraction of green organic compounds have emerged as new research hotspots in this field. This study not only comprehensively evaluates the means and methods of assessing the corrosion inhibition performance of new organic compounds but also further specifies the main directions for future research in this field. These include composite organic coatings, targeted development of new organic compounds, development and application of green organic compounds from plants and corrosion inhibition mechanisms of organic compounds on other metal materials. This study not only provides a thorough and in-depth review of the history and current status of this field but, more importantly, clarifies specific directions for future research in this area. The aim of this research is to provide strong theoretical support and practical guidance for subsequent researchers, promoting future development of this field.

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Section: Keyword Clustering Analysissupporting

confidence: 64%

Corrosion inhibition effects of organic compounds on carbon steel research progress: a visualization analysis based on CiteSpace

Jia,

Wang,

Liu

2023

Mater. Res. Express

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“…The rich and powerful search function of the Web of Science makes it easy to quickly find valuable scientific information and obtain a comprehensive understanding of research information on a particular subject or topic. Users can search across all databases subscribed to the platform at the same time or select one of them for a single search [ 20 ]. The Impact Factor (IF) introduced by Web of Science has become a common international journal evaluation index, which is not only a measure of the usefulness and display of the journal but also an important indicator of the academic level of the journal and even the quality of the paper [ 21 ].…”

Section: Data Collection and Research Methodsmentioning

confidence: 99%

A Scientometric Review of Grain Storage Technology in the Past 15 Years (2007–2022) Based on Knowledge Graph and Visualization

Chen

Hou

Liu

2022

Foods

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Food storage helps to ensure the food consumption needs of non-agricultural populations and to respond to major natural disasters or other emergencies, and the application of food storage technology can reduce post-harvest food losses. However, there are still obvious shortcomings in coping with large grain losses. Therefore, quantitative analysis of the research hotspots and evolutionary trends of grain storage technology is important to help the development of grain storage technology. This article uses the Web of Science database from 2007 to 2022 as a data sample with the help of CiteSpace software to analyze the basic situation, research hotspots, and evolutionary trends to draw a series of relevant knowledge maps. Visual analysis revealed that the number of publications had grown rapidly since 2015. First, the Journal of Stored Products Research, Journal of Economic Entomology, and Journal of Agricultural and Food Chemistry, with citation frequencies of 929, 536, and 453, should be focused on in order to keep up with the latest research developments in this field. The United States, China, and Brazil occupy dominant positions in relation to grain storage technology studies in general. Purdue University, Kansas State University, and Agricultural Research Institute ranked the top three in terms of the number and centrality of publications. In terms of research hotspots, the centrality of temperature, insects, carbon dioxide, and quality were 0.16, 0.09, 0.08, and 0.08. It shows that the field of grain storage technology in recent years has focused on grain storage temperature, pest control, and grain storage quality research. From the perspective of the evolution trend, the life cycle of emergent words lasts for several years, after which the strength of emergent words slowly decreases and is replaced by new emergent words. Mortality was the first keyword to appear and remained from 2007 to 2011, indicating that research on fumigants and their toxicity, as well as pest mortality under air fumigation and chemical fumigation conditions, became more popular during this period. In recent years, new terms have emerged that had never been used before, such as “grain quality” (2019–2022) and “stability” (2020–2022). We can find that people pursue food quality more with the improvement of people’s living standards. In this context, future research should seek more efficient, safe, economical, and environmentally friendly methods of grain storage and continuously improve the level of scientific grain storage.

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“…The use of technology in the supply chain is enhanced by emerging technologies such as artificial intelligence, digital twin, and big data. According to Xue et al [90], the future development of the supply chain should study the impact of emerging technologies for continuous improvement. Xue et al [90] conducted a review of supply chain management and suggested that emerging technologies can be integrated into the supply chain model.…”

Section: Citation Analysismentioning

confidence: 99%

A Bibliometric Analysis of Digital Twin in the Supply Chain

Lam,

Lee

2023

Mathematics

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Digital twin is the digital representation of an entity, and it drives Industry 4.0. This paper presents a bibliometric analysis of digital twin in the supply chain to help researchers, industry practitioners, and academics to understand the trend, development, and focus of the areas of digital twin in the supply chain. This paper found several key clusters of research, including the designing of a digital twin model, integration of a digital twin model, application of digital twin in quality control, and digital twin in digitalization. In the embryonic stage of research, digital twin was tested in the production line with limited optimization. In the development stage, the importance of digital twin in Industry 4.0 was observed, as big data, machine learning, Industrial Internet of Things, blockchain, edge computing, and cloud-based systems complemented digital twin models. Digital twin was applied to improve sustainability in manufacturing and production logistics. In the current prosperity stage with high annual publications, the recent trends of this topic focus on the integration of deep learning, data models, and artificial intelligence for digitalization. This bibliometric analysis also found that the COVID-19 pandemic drove the start of the prosperity stage of digital twin research in the supply chain. Researchers in this field are slowly moving towards applying digital twin for human-centric systems and mass personalization to prepare to transit to Industry 5.0.

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A review of supply chain coordination management based on bibliometric data

Cited by 15 publications

References 69 publications

Corrosion inhibition effects of organic compounds on carbon steel research progress: a visualization analysis based on CiteSpace

Corrosion inhibition effects of organic compounds on carbon steel research progress: a visualization analysis based on CiteSpace

A Scientometric Review of Grain Storage Technology in the Past 15 Years (2007–2022) Based on Knowledge Graph and Visualization

A Bibliometric Analysis of Digital Twin in the Supply Chain

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