Producción Científica

 

 

High entropy ceramics (HECs) represent a novel class of materials characterized by their unique multi-principal element compositions and exceptional properties. This study investigates the mechanical and thermal properties of high entropy ceramics through a comprehensive bibliometric analysis of 395 Scopus-indexed articles. Biblioshiny, VOSviewer and Gephi software are used to analyze different data linked with these articles. Data from abstracts are analyzed to identify properties like thermal conductivity, hardness, fracture toughness, etc Computer vision has been applied in data extraction and property characterization of HEC. Investigation reveals significant insights into the co-occurrence of keywords related to various mechanical properties, such as fracture toughness and compressive strength, alongside thermal characteristics like thermal conductivity. Visualizing these relationships highlights research clusters and identifies gaps in the current literature, paving the way for future exploration in this promising field.

 

 

The fishing and aquaculture sectors play a pivotal role in global food and nutritional security, with significant contributions to employment and revenue. Historically, fisheries assessment has emphasised ecological aspects, but a holistic approach recognising the sector’s intricate dynamics, from harvest to end-user, is essential to overcome challenges like overfishing and economic losses. This study employed a bibliometric approach to map the fisheries value chain literature, aiming to understand research developments, key contributors, and collaboration dynamics, and offer a perspective on the shifts in scientific trends and research priorities. After extracting data from Web of Science and Scopus databases, employing a keyword-based search strategy, a final dataset of 396 articles was analysed using established performance analysis and science mapping techniques. Fisheries value chain research has seen consistent growth since 2002, with a notable increase between 2019 and 2020. The USA is a key contributor to this research, with collaborations involving Norway, the UK, and Australia. Key authors have distinct areas of focus, from governance to seafood trade. While collaboration is frequent, geographical constraints may limit some. Thematic analysis indicates that most research focuses on addressing industry challenges and governance frameworks. Themes such as by-product utilisation are underexplored and require further development. Socioeconomic themes, including market demand and food security, have broad relevance and play an important role across various research areas. This study provides a comprehensive overview of fisheries value chain research, guiding future research.

 

 

Earthquake-induced landslides have always been a hot research topic in the field of geosciences. However, there have been few bibliometric analyses on this topic. To systematically understand the research status, this study is based on bibliometrics and extensively uses visualization analysis techniques. It combines quantitative and qualitative methods to conduct an in-depth analysis of 5 016 papers collected from the Web of Science (www.webofscience.com). The results revealed that: ①The number of papers on earthquake-induced landslides is steadily increasing, and is expected to continue to rise. ②Countries prone to frequent earthquakes have made significant contributions to the research on earthquake-induced landslides, and the frequent and effective cooperation among these countries has had a very positive impact on promoting landslide study. ③ Research on earthquake-induced landslides is no longer limited to the field of geology, and the future direction is to integrate knowledge and technical methods from multiple disciplines. In the research methods of earthquake-induced landslides, there is a gradual shift from “experience, theory” to “data-driven”. This study can provide researchers in this field with information on the core research forces, evolving hot topics, and future development trends of earthquake-induced landslides.

 

 

The objective of this research is to conduct a literature review from the bibliometric and systematic perspectives on fire in semiarid regions at a global level, focusing on the application of remote sensing in data acquisition. For this review, bibliometrics were used, in which the quantitative approach was valued, through Bibliometrix, through the RStudio software and the WordClouds software for the word cloud. The search string “fire AND in AND semiarid” was used. The literature review is a procedure that can be used to support scientific research, or when the research is characterized exclusively as bibliographic. The research was carried out using two databases (Web of Science and Scopus). A total of 927 articles were found, 560 from Scopus (Sco) and 367 from Web of Science (WoS). After analyzing the exclusion criteria for duplication using RStudio, 226 articles were excluded, leaving 698 documents. For the systematic analysis, the articles were separated into two groups: direct method and indirect method, with the indirect method being related to remote sensing. From this screening, 193 articles were classified as indirect method, 493 as direct method, and 8 articles were outside the research context. Southern Africa, Australia, China, and the United States were the ones that presented the largest number of studied locations, corresponding to 10, 35, 12, and 42 articles, respectively. It can be observed that at the beginning of the 21st century, there was an increase in the number of publications, specifically from 2005 onwards, with more than 10 articles being published per year. It can be seen how valuable these studies are to the scientific community, since they reveal the most widely used remote sensing products for fire studies in the semiarid region.

 

 

The Qinghai-Tibet Plateau (QTP) is prone to various types of natural disasters with extensive distribution and severe impacts. A systematic review of historical disasters and their spatiotemporal patterns on the QTP over the past century is crucial for a comprehensive understanding and assessment of disaster risks. By searching research articles on QTP disasters through the Web of Science Core Collection, Scopus, and Chinese Science Citation Database, this study collected 261 papers and conducted a bibliometric analysis to summarize the main disaster types and distribution patterns. We categorized QTP disasters into five major types (geological disasters, glacial disasters, meteorological disasters, hydrological disasters, and other disasters) and 15 subtypes. Furthermore, by integrating data from open platforms, published chronicles, yearbooks, and articles, we compiled a structured dataset of major recorded disaster events on the QTP in the past century, which documents the time, location, intensity, casualties, and direct economic losses of each event. This comprehensive, long-term dataset of QTP disasters surpasses existing open data in temporal coverage and completeness. The dataset will serve as a fundamental resource for disaster research, risk assessment, and prevention planning in the QTP region.

 

 

Background and objectives: Depression long been a key concern for scholars worldwide; however, the field of depression has not received sufficient attention in traditional Chinese medicine. It was not until the 21st century that research into depression gradually entered a period of rapid development, with an increasing number of academic studies published in major journals. However, one limitation of this field is that no scholars have yet summarised the development process and key research issues. Therefore, the present study aimed to summarise the research trends and progress in this field, providing relevant information and presenting potential future research directions for subsequent researchers. Methods: Literature in this field was searched from January 1, 2000 to April 20, 2024 in the Web of Science Core Collection database, to analyse the current status of the literature and publication trends. Bibliographic information, including study authors, organisations, keywords, countries, references, citations, and co-citations, was extracted using CiteSpace and VOSviewer software for quantitative analysis, visual mapping, and scientific evaluation. Results: A total of 921 papers were included, with a significant increase in the number of publications from 2017 to 2021, and a stable number of more than 140 publications between 2022 and 2023, with publications in these two years accounting for 31.38 % of the total. The Journal of Ethnopharmacology had the highest number of publications (97) and citations (2067), as well as the highest number of co-citations (1369). China (847 publications, 13256 citations), Beijing University of Chinese Medicine (90 publications, 1232 citations), and Qin Xuemei (30 publications, 759 citations) were the most prolific and influential countries, organisations, and authors in the field, respectively. Keyword clustering co-occurrence analysis revealed nine different clusters with good homogeneity. The top three clusters were randomised controlled trials, traditional Chinese medicine, and hippocampal neurogenesis. In the timeline analysis of keywords, from 2000 to 2010, keywords in this field were concentrated on hippocampal neurology and forced swimming test as clustering axes of Traditional Chinese Medicine. From 2010 to 2020, the research hotspots focused on randomised controlled trials and hippocampal neurogenesis. After 2020, keywords became more focused on network pharmacology. In addition, the occurrence time of explosive keywords were distributed before 2010 and after 2020. Before 2010, these keywords included the forced swimming test, Tail Suspension Test, Chronic Cold Stress, Neural Regeneration, and Banxia Houpu Decoction. Conversely, network Pparmacology and Molecular Docking arose as key buzzwords starting in 2020. Conclusions: This study comprehensively analysed and summarised the research hotspots and trends in this field of research in the 21st century from a bibliometric perspective, further generating a series of visual graphs to help researchers understand the current research status, potential collaborators, collaborating institutions, and potential future research hotspots in this field.

 

 

Background: The vascular endothelial growth factor (VEGF) signaling pathway is closely related to pathological angiogenesis in liver disease. Anti-angiogenesis is an effective intervention in the clinical treatment of liver disease. Some antiangiogenic drugs are resistant and have limitations in clinical use. Methods: This research uses bibliometric methods to assess the literature on the VEGF signaling pathway in liver disease from 2008 to 2023. Results: The number of publications has generally increased over the past 16 years, meaning that enormous researchers are interested in this field. China and the USA have published the most articles and cooperate closely with each other. Plos one has published the largest number of articles in this area, and Hepatology and Journal of Hepatology is the most authoritative journal. Llovet JM is an outstanding researcher in the field with the highest citations. Keywords and research hotspots analysis indicated that researchers are very concerned about the application and clinical research status of anti-angiogenic drugs in hepatocellular carcinoma (HCC). Continuing to deepen the research on the use of anti-angiogenic drugs alone and in combination is necessary. In addition, the resistance of anti-angiogenic therapeutic drugs leads to a complex mechanism of angiogenesis response caused by hypoxia, which requires further research. Conclusions: This study analyzed the research situation related to the VEGF signaling pathway in liver disease from a bibliometric and visual perspective. Our analysis helps researchers better understand the research directions and hotspots in this area, enabling them to better carry out research in the future.

 

 

Manufacturing bioactive materials for drug delivery involves developing materials that interact with biological tissues to release drugs in a controlled and targeted manner. The goal is to optimize therapeutic efficacy and reduce side effects by combining knowledge from materials engineering, biology, and pharmacology. This study presents a detailed bibliometric analysis, exploring the keywords “manufacturing,” “bioactive materials,” and “drug delivery” to identify and highlight significant advancements in the field. From the Web of Science, 36,504 articles were analyzed, with 171 selected for a deeper analysis, identifying key journals, countries, institutions, and authors. The results highlight the field’s interdisciplinary nature, with keywords grouped into four main themes, including regenerative medicine, scaffolds, three-dimensional (3D) printing, bioactive glass, and tissue engineering. Future research in this area will focus on more effective and precise systems using technologies like 3D printing and nanotechnology to enhance the customization and control of drug release, aiming for more efficient and targeted therapies.

 

 

Purpose: The rise of the coronavirus disease 2019 (COVID-19) pandemic has enabled researchers and industry professionals to reinvent their strategies for basic economic understanding. Two years after the outbreak of the pandemic, businesses are now trying to adapt to the impact it has brought, hoping to receive support as it did in the past. However, before this feat can be accomplished, it is imperative to understand the recovery hurdles created by the pandemic. This research aims to fill the literature gaps by examining the challenges during recovery within the creative small and medium-sized enterprise (SME) industry, as there are few relevant studies that focus on this field. Design/methodology/approach: Through a methodical bibliometric literature review and network analysis, the paper intends to critically explore relevant recovery challenges within the field while providing answers to the appropriate research questions. A total of 43 articles were selected for an in-depth review. Using the analysis from the selected articles as a guide, a framework was developed to address the recovery challenges alongside the recommended propositions. Findings: The findings from this paper suggest that a lack of synergy among four major categories (governmental, supply chain, organizational and stakeholders) contributes to recovery challenges within the field of research. Originality/value: The review also offers clarification in understanding the current and upcoming trends within the creative industry, SMEs and COVID-19. This paper can thus help researchers, industry practitioners and managers discover and analyze the recovery challenges brought about by the COVID-19 pandemic.

 

 

Purpose: Technology is sometimes used to support assessments of academic research in the form of automatically generated bibliometrics for reviewers to consult during their evaluations or by replacing some or all human judgements. With artificial intelligence (AI), there is increasing scope to use technology to assist research assessment processes in new ways. Since transparency and fairness are widely considered important for research assessment and AI introduces new issues, this review investigates their implications. Design/methodology/approach: This article reviews and briefly summarises transparency and fairness concerns in general terms and through the issues that they raise for various types of Technology Assisted Research Assessment (TARA). Findings: Whilst TARA can have varying levels of problems with both transparency and bias, in most contexts it is unclear whether it worsens the transparency and bias problems that are inherent in peer review. Originality/value: This is the first analysis that focuses on algorithmic bias and transparency issues for technology assisted research assessment.