Strength Of Link Research Articles

A Bibliometric Analysis of Computational Mapping on Publishing Teaching Science Engineering Using VOSviewer Application and Correlation

The purpose of this study was to describe the development of research in the field of teaching science engineering using VOSviewer. This research was conducted by creating a journal database from the Publish or Perish application and managed with the VOSviewer application to classify and visualize the database using the keyword of “Teaching Science Engineering” in the last 10 years (form 2012-2021). A total of 998 articles related to teaching science engineering were analysed and mapped. Based on the mapping results, three terms were obtained, namely “Mathematics” which was associated with 51 links and 335 link strengths; “Engineering Education” associated with 49 links and 146 link strengths; and “Science Technology Engineering Mathematics (STEM)” associated with 48 links and 270 link strengths, respectively. In addition, an analysis of the findings showed that teaching science engineering research in 2012-2016 experienced fluctuating developments. Meanwhile, from 2017 to 2021, teaching science engineering research continues to experience a significant decline. The significant decline in 2019-2021 occurred due to pandemic conditions that impacted the teaching of science engineering related to direct practice in the field. Therefore, it is hoped that the study can help and become a reference for researchers in conducting and determining the research themes to be taken.

Exploring the Evolution of the Topics and Research Fields of Territorial Development from a Comprehensive Bibliometric Analysis

Countries with great deficiencies in development, research, and innovation are investing resources to advance in this aspect; meanwhile, it is necessary to advance in initiatives that promote local development, through the correct use and management of endogenous territorial capacities to achieve economic, social, and environmental development, and this is where the territorial development approach has intervened during the last decades. To obtain an understanding of the evolution of the research field on territorial development, a study of research topics and groups of research topics is implemented from subscription-based data sources (Scopus, Science direct, Ebsco, and Web of Science) and open access (Lens and Dimension platforms). Keyword co-occurrence techniques were implemented, and indicators of link strength and density-centrality of clusters were used to abstract patterns of change within the field of study. The evolution of the area, trends, and issues related to territorial development are identified in the different databases, mapping a discipline that still lacks comparative publications between research results at different scales.

A bibliometric analysis of the top 100 most-cited articles on keratoconus.

To explore the characteristics of the top 100 most-cited articles on keratoconus research. The Web of Science database was searched to identify papers published from 1950 to 2020. A bibliometric analysis of the top 100 most-cited articles was conducted in the current study. The Kruskal-Wallis test was conducted to test the citation differences between basic research, clinical research, and reviews. The Spearman correlation analysis was used to investigate the association between citations and publication year. The VOSviewer software was used to create networks of co-authorship and keywords map. The median values of the number of citations, citations/year since publication, and citations since 2013 were 186.5, 13.90, and 11, respectively. A total of 79% of articles were clinical research. Reviews exhibited a higher value of citations/year since publication and citations since 2013 than basic research (all P < 0.05). The number of publications, total number of citations, citations/year since publication and citations since 2013 on the top 100 most-cited articles list increased with an increase in the publication year in three article types (all P < 0.05). The Journal of Cataract and Refractive Surgery had the highest number of articles. There were 37 articles from the USA. Rabinowitz, YS was the most-cited author with the greatest total link strength. Extensive collaboration existed among the main core nodes containing "cross-linking," "refractive surgery," and "penetrating keratoplasty." The present study focused on the comprehensive analysis of the top 100 most-cited articles on keratoconus research, providing insight into keratoconus research developments over the past decades.

What We Know about Research on Life Insurance Lapse: A Bibliometric Analysis

A lapsed policy is an insurance policy that has become inactive due to non-payment of premiums. The word “lapse” is an insurance topic that constantly evolves, proven by the recent increase in publications on this topic. The study explores the life insurance lapse decision through a comprehensive bibliometric analysis throughout the years, concentrating on publication trends; co-authorship networks among countries, authors, and scientific journals; and the field’s evolution. The research is based on the Scopus database. Ultimately, 178 documents were retrieved and analysed, demonstrating increased literature on insurance lapse from 1971 to 2021. The authors’ keyword co-occurrence network was also analysed for possible future directions of the field. Journals originating from the United Kingdom dominate the publication on life insurance lapsation. In contrast, an author from the United States is at the first rank in terms of the co-authorship network’s total link strength. The results may help researchers define the research objective and determine the aspects of the life insurance lapse for future research.

Resilience in Multiplex Networks by Addition of Cross-Repulsive Links

A multiplex network of identical dynamical units becomes resilient against parameter perturbation by adding selective linear diffusive cross-coupling links. A parameter drift at any instant in one or multiple network nodes can destroy synchrony, causing failure and even collapse in the network performance. We introduced [PRE 95, 062204(2017)] a recovery strategy by selective addition of cross-coupling links to save synchrony in the network from the edge of failure due to parameter mismatch (small or large) in any nodes. This concept is extended to 2-layered multiplex networks when the emergent synchrony becomes resilient against a small or large parameter drifting. In addition, the stability of the synchronous state is enhanced from local stability to global stability of synchrony. By the addition of cross-coupling, the network revives complete synchrony in all the nodes except the perturbed nodes, which emerges into a type of generalized synchrony with all the unperturbed nodes. The generalized synchrony is manifested simply by a linear amplitude response in the state variable(s) of the perturbed node(s) by a scaling factor proportional to the mismatch. A set of systematic rules has been derived from the linear flow matrix of the dynamical system representing the nodes dynamics that helps find the connectivity matrix of the cross-coupling links. Lyapunov function stability condition is used to determine the cross-coupling link strength that, in turn, establishes global stability of synchrony of the multiplex network. We verify the efficacy of our proposed coupling scheme with analytical results and numerical simulations of two examples of multiplex networks. In the first example, we use non-local connectivity in each layer, with nodal dynamics of the FitzHugh-Nagumo neuron model.

An Overview of Research Trend on Merit System in Indonesia and International Practices: A Bibliometric Analysis and Visualization

This study intends to examine how the development of research related to the merit system in Indonesia and international practices. Bibliometric analysis is used to determine the dynamics of the research topics discussed related to the merit system through keywords that appear in the Scopus database until January 7, 2022. Visualization from bibliometric based on co-authorship, co-occurrence, and citation using VOSviewer 1.6.16. This study showed 485 articles had been filtered through the criteria of Open Access, Article, English, and Journal. Six of the 485 articles discussed various aspects of the merit system in Indonesia. In Co-authorship, there are eight of 23 clusters written by more than two people collaborating; the United Kingdom is the highest number of articles published, while Indonesia also appears in the visualization but does not collaborate with affiliated authors from other countries. In co-occurrence, 22 clusters of 1,503 keywords emerge, and 234 meet the threshold. The meritocracy item has the highest link and total link strength, but this item was published on average around the year 2018. In terms of citation, eight of the ten most-cited documents were published more than the last ten years, while the other two documents were published in the last eight years. The document of Pratto f. 1994 was the highest citation document and became an important article related to the merit system discussing social dominance orientation which looks at inequality in social groups.

Numerical investigation on the flange contribution in the shear strength of short LYP I-shaped links without intermediate stiffeners

As of today, a decisive conclusion regarding the effect of flanges on the overstrength factor of short I-shaped shear links is still lacking. Accordingly, to address this gap in knowledge, this paper relies on the nonlinear finite element analysis to explore the flange contribution in the ultimate shear strength of (very) short Low-Yield-Point (LYP) steel shear links. To this end, 147 I-shaped links made from two LYP steels with a yield stress of 100 and 225 MPa are numerically analyzed and compared considering the effects of certain factors, including the contribution of flanges in shear, boundary conditions associated with the shear panel, and strain hardening of both flange and web steels due to large inelastic rotations. According to the results, the flanges contribution in the shear has two primary sources. The first is the shear resistance of flange plates, and the second is the hardening effect of flange steel under large inelastic rotations. The flange contribution in shear increases with decreasing the Non-dimensional Web Slenderness (NWS) parameter. Accordingly, links with heavy flanges and low NWS parameter could develop a significant contribution in shear and high overstrength factor. The maximum contribution of the flanges reaches about 36% and 43% for the links fabricated from, respectively, L100 and L225 steels with an NWS parameter of 0.1. In this regard, new diagrams based on the NWS parameter were proposed to find out the flange contribution in the shear strength of the links.

Revealing directed effective connectivity of cortical neuronal networks from measurements.

In the study of biological networks, one of the major challenges is to understand the relationships between network structure and dynamics. In this paper, we model in vitro cortical neuronal cultures as stochastic dynamical systems and apply a method that reconstructs directed networks from dynamics [Ching and Tam, Phys. Rev. E 95, 010301(R) (2017)2470-004510.1103/PhysRevE.95.010301] to reveal directed effective connectivity, namely, the directed links and synaptic weights, of the neuronal cultures from voltage measurements recorded by a multielectrode array. The effective connectivity so obtained reproduces several features of cortical regions in rats and monkeys and has similar network properties as the synaptic network of the nematode Caenorhabditis elegans, whose entire nervous system has been mapped out. The distribution of the incoming degree is bimodal and the distributions of the average incoming and outgoing synaptic strength are non-Gaussian with long tails. The effective connectivity captures different information from the commonly studied functional connectivity, estimated using statistical correlation between spiking activities. The average synaptic strengths of excitatory incoming and outgoing links are found to increase with the spiking activity in the estimated effective connectivity but not in the functional connectivity estimated using the same sets of voltage measurements. These results thus demonstrate that the reconstructed effective connectivity can capture the general properties of synaptic connections and better reveal relationships between network structure and dynamics.

Equivalence of plastic strength and hysteretic behavior of box and I-shaped shear links

In seismic resilient structural systems like eccentrically braced frame and coupled shear wall system, a small beam-like segment known as the shear link is used as a replaceable structural fuse. Shear links dissipate seismic energy primarily by shear deformation. This study focuses on the numerical investigation of the shear capacities of short box-shaped and I-shaped links and the feasibility of interchangeability between them. For replacing links in post-disaster periods, this interchangeability between links of different shapes would allow designers to choose from a wider range of options leading to higher flexibility. Existing equations for the prediction of shear capacities were studied to find appropriate equations to be used for achieving equivalent hysteretic behavior by links of I-shaped and box-shaped sections. When shear capacities are estimated with the existing equations of the AISC code, the hysteretic behavior of a box-link differs from that of an I-link despite having the same shear capacity. These equations do not take into account the contribution of flanges in the resistance of shear forces. Instead, the alternative equations which include the full link depth are found to be more appropriate using which the same cyclic behavior can be achieved by either a box-link or an I-link (with the same shear capacity) in terms of hysteretic response, overstrength, and energy dissipation. An I-shaped link can be replaced with a box-shaped link of the same capacity and vice versa, when capacity prediction is done with the suggested equations.

Antimicrobial Stewardship in Surgery: A Literature Bibliometric Analysis.

BackgroundAntimicrobial resistance and the dwindling antibiotic development pipeline have resulted in a looming post-antibiotic era. Research related to antimicrobial stewardship (AMS) has grown rapidly in the past decade, especially in the field of surgery. We conducted a bibliometric analysis of these publications. In addition, we aimed to identify research hotspots and infer future research trends.MethodsWe screened global publications on AMS in the surgical field over ten years (between 2011 and 2020) from the Web of Science core collection database. The keywords “antimicrobial or antibiotic”, “stewardship”, “management”, “management strategies”, “programme”, “surgery” and “surgical” were used to search for related papers. VOS viewer, R software, and other machine learning and visualization tools were used to conduct the bibliometric analysis of the publications.ResultsWe identified 674 publications on AMS in surgical fields; “antimicrobial stewardship” (with total link strength of 1,096) was the most frequent keyword, and had strong links to “antimicrobial resistance” and “guidelines”. The top 100 most cited papers had a mean citation count of 47.21 (range: 17–1155) citations, which were cited by survey research studies, clinical trials, and observational studies. The highest-ranking and most cited journal was Clinical Infectious Diseases with eight publications. Jason G. Newland from Washington University wrote seven papers and was cited 1,282 times. The University of Washington published 17 papers and was cited 1,258 times, with the largest number of publications by author and organization. The USA published 198 papers and cooperated with 21 countries, mainly partnering with Italy, the UK, and Canada. Published articles mainly focused on the current clinical situation regarding surgical AMS management, antibiotic prescription, and antibiotic resistance.ConclusionsPublications on surgical AMS management have increased in recent decades, with the USA being the most prolific. Epidemiological investigations of surgical-related infections, antibiotic prescriptions, and antibiotic resistance are fast-developing research trends. However, further improvements are still needed according to the recommendations gained from the bibliometric analysis.

Credit Rating Prediction Through Supply Chains: A Machine Learning Approach

As supply chain channels physical, financial, and information flows as well as associated risks, a firm's supply chain information should be helpful in understanding and predicting its credit risks. Credit ratings, as an approximate but important measure of corporate credit risks, have been widely used by investors, creditors, and supply chain partners in their decision‐making. This study studies the role of supply chain information in predicting companies’ credit ratings. Using firm‐level supplier–customer linkages and corporate credit rating data, we develop a machine learning framework with gradient boosted decision trees to examine whether and what supply chain features can significantly improve the prediction accuracy of credit ratings, and what types of supply chain links have higher information content that positively affects the predictability of the supply chain features. We construct a firm's supply chain variables from its supplier and customer portfolios. We show that incorporating supply chain features can improve prediction accuracy over the benchmark credit rating model using only the focal firm's features. Moreover, the informativeness of supply chain links in focal credit risk prediction depends on the focal firm's industry sector, the relationship strength of such links, and the switching costs. Finally, we develop a focal credit rating prediction model with a high accuracy level using supply chain factors solely, which can potentially be applied to predict credit risks of small‐ and medium‐sized enterprises (SMEs) and private firms with no public financial information, as long as their supply chain information is available.

A bibliometric analysis of sustainable oil and gas production research using VOSviewer

The role of the oil and gas industry in society is irrefutably vital as it is the main driver of the global energy system which significantly contributes to economic and social development. However, with the growing international concerns especially on climate change and environmental degradation, O&G production should enhance its positive impacts and mitigate its negative effects through sustainable development. This paper aimed to systematically plot the scientific research outputs on sustainable oil and gas production by using a quantitative review technique called bibliometric analysis. The data was retrieved from the Scopus database and was analyzed using the VOSviewer software. Out of 3,493, only 232 keywords from the 312 articles met the threshold and were analyzed. The results showed that the topics related to the [natural] gas industry gained considerable attention from researchers from 1994 to 2021, featured in 163 articles with 1718 total link strength. Moreover, one of the recently most citable research topics was related to enhanced recovery of heavy crude oil with 130 total citations from 2019 to 2021. Overall, this study could be used by researchers to quantitively examine the trends and future direction of this research topic.

Trends and hot topics in radiology, nuclear medicine and medical imaging from 2011-2021: a bibliometric analysis of highly cited papers.

PurposeTo spotlight the trends and hot topics looming from the highly cited papers in the subject category of Radiology, Nuclear Medicine & Medical Imaging with bibliometric analysis.Materials and methodsBased on the Essential Science Indicators, this study employed a bibliometric method to examine the highly cited papers in the subject category of Radiology, Nuclear Medicine & Medical Imaging in Web of Science (WoS) Categories, both quantitatively and qualitatively. In total, 1325 highly cited papers were retrieved and assessed spanning from the years of 2011 to 2021. In particular, the bibliometric information of the highly cited papers based on WoS database such as the main publication venues, the most productive countries, and the top cited publications was presented. An corpus was built to help identify the most frequently explored topics. VoSviewer was used to visualize the co-occurrence networks of author keywords.ResultsThe top three active journals are Neuroimage, Radiology and IEEE T Med Imaging. The United States, Germany and England have the most influential publications. The top cited publications unrelated to COVID-19 can be grouped in three categories: recommendations or guidelines, processing software, and analysis methods. The top cited publications on COVID-19 are dominantly in China. The most frequently explored topics based on the corpus and the author keywords with the great link strengths overlap to a great extent. Specifically, phrases such as magnetic resonance imaging, deep learning, prostate cancer, chest CT, computed tomography, CT images, coronavirus disease, convolutional neural network(s) are among the most frequently mentioned.ConclusionThe bibliometric analysis of the highly cited papers provided the most updated trends and hot topics which may provide insights and research directions for medical researchers and healthcare practitioners in the future.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11604-022-01268-z.

A Machine-Learning-Based Bibliometric Analysis of the Scientific Literature on Anal Cancer.

Simple SummarySquamous-cell carcinoma of the anus, being a rare cancer, requires national and international collaborations, networking, organizational proficiency and leadership to overcome barriers towards the implementation of clinical trials to establish improved standards of care treatment strategies and the conduction of translational research projects to shed light into its biology and molecular characterization. The purpose of the present study is to obtain a global frame of the scientific literature related to anal cancer, through a bibliometric analysis of the published articles during the last 20 years (2000–2020), exploring trends and common patterns in research, tracking collaboration and networks to foresee future directions in basic and clinical research. Squamous-cell carcinoma of the anus (ASCC) is a rare disease. Barriers have been encountered to conduct clinical and translational research in this setting. Despite this, ASCC has been a prime example of collaboration amongst researchers. We performed a bibliometric analysis of ASCC-related literature of the last 20 years, exploring common patterns in research, tracking collaboration and identifying gaps. The electronic Scopus database was searched using the keywords “anal cancer”, to include manuscripts published in English, between 2000 and 2020. Data analysis was performed using R-Studio 0.98.1091 software. A machine-learning bibliometric method was applied. The bibliometrix R package was used. A total of 2322 scientific documents was found. The average annual growth rate in publication was around 40% during 2000–2020. The five most productive countries were United States of America (USA), United Kingdom (UK), France, Italy and Australia. The USA and UK had the greatest link strength of international collaboration (22.6% and 19.0%). Two main clusters of keywords for published research were identified: (a) prevention and screening and (b) overall management. Emerging topics included imaging, biomarkers and patient-reported outcomes. Further efforts are required to increase collaboration and funding to sustain future research in the setting of ASCC.

59 Burns in Low- and Middle-income Countries: A Scientometric Analysis of Peer-reviewed Research

IntroductionLow- and middle-income countries (LMICs) account for 70% of all global burns. Due to this significantly disproportionate burden, it’s critical we identify barriers to burn care and prevention in LMICs. As a result, this study aimed to elucidate trends in LMIC-related burn research to create focused strategies for burn care training, research, and innovation. Accomplishing meaningful change from the study’s findings will be guided by the first 4 steps of Dr. John Kotter’s “8-Step Process for Leading Change” – 1) create urgency for change, 2) build a guiding team, 3) develop a vision and plan, 4) communicate with key stakeholders to obtain buy-in.MethodsWeb of Science’s 7 citation databases were searched through March 2, 2021 using synonyms of “burns” and “low- and middle-income countries.” After screening articles, metadata were uploaded to VOSviewer (Leiden, Netherlands) where citation and network metrics were generated. The Kruskal-Wallis test and linear regression were used for bivariable and multivariable analysis of factors influencing publications, citations, and total link strength (TLS) – the strength of association between a given research article, other articles, and additional institutions.ResultsBibliometric analysis identified 2,027 articles by 8,602 authors in 692 journals. Two-thirds of journals published a single article (n=453, 65.5%) whereas only 3.6% published ≥10 articles. One-quarter of LMIC burn research was published in ISBI’s Burns (n=417 articles, 20.6%) and ABA’s Journal of Burn Care & Research (n=89 articles, 4.4%). Most authors published < 5 articles (n=8521, 99.1%) but 19 (0.2%) had published ≥10. Authors were affiliated with 2,519 organizations in 132 countries. There was a strong positive correlation between total publications and citations (R=0.87, P< 0.001). In addition, there was a significant difference in the number of publications (P=0.003, 0.07), citations (P=0.005, 0.03), and TLS (P=0.009, 0.008) by geographic and economic categories - North America had the highest while Latin American and the Caribbean had the lowest. The USA (n = 563), India (n = 161), and China (n = 154) published the most articles.ConclusionsGiven the disproportionate representation of high-income countries and authors in the current LMIC burn research landscape, there must be a sense of urgency to develop pathways for facilitating change. Local and regional candidates for mentors and leaders were identified using bibliometric findings. Assembling teams with these individuals and prolific authors using a well-defined vision for change will facilitate sustainable communication and collaboration within LMIC research.

A global research trends of neuromarketing: 2015-2020

he growth interesting in discovering the consumers’ behaviours, emotional and cognitive processes in marketing research have led to an increasing number of publications. This paper evaluates the global research trends in the neuromarketing/consumer neuroscience domain based on the most productive journals, countries, institutions, authors, the number of documents and citations. This paper was structured based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework in selecting all relevant documents for this bibliometric study. A total of 119 documents have been extracted and analysed from the Scopus database. The findings revealed that Spain is the leading country in this field of research with 21 publications, and the most productive institution was Universidad Complutense de Madrid, with seven documents. In addition, Ma, Q. is the most prolific author with four publications and 11 citations. Interestingly, although Frontiers in Psychology is the most productive journal with 11 publications, the Comunicar journal has the highest average citation per item. Keywords and citation analysis are highly significant to know the most impactful documents and words in neuromarketing. For example, EEG (18 occurrences and 43 total link strength) mean EEG occurrence 22 times, and total link strength for these occurrences are 43 links with neuromarketing theme. Chew L.H. et al., have published the most cited document with 27 citations. We believe that our study will provide a comprehensive overview of global trends in the neuromarketing domain.

ЕКОНОМІЧНА БЕЗПЕКА РЕГІОНІВ УКРАЇНИ

Обґрунтовано важливість економічної безпеки як складової національної безпеки України, розкрито поняття «економічна безпека», проаналізовано причини її загроз, а саме зовнішньоекономічні, зовнішньополітичні та внутрішні. Проаналізовано властивості та розкрито роль економічної безпеки регіону як самостійної економічної категорії. Показано різні точки зору на поняття «економічна безпека», виділено основні наукові підходи до визначення даного поняття. Розглянуто категорію «економічна безпека на регіональному рівні» як багатокомпонентне явище, суму окремих його складових. Показано напрями забезпечення економічної безпеки держави на регіональному рівні. Проаналізовано функціональні особливості системи досягнення економічної безпеки, наведено функції економічної безпеки на державному та регіональному рівнях, а саме захисну, регулятивну, превентивну, інноваційну, діагностичну, соціальну. Окреслено характеристики, досягнення яких забезпечить комплексна реалізація наведених функцій, зокрема, виокремлено стійкість до екзогенних і ендогенних загроз, здатність регіональної економічної системи до самовідтворення й саморозвитку, економічну самодостатність, міцність зв’язків між елементами регіональної економіки, здатність до використання конкурентних переваг, відповідність складників економічної безпеки регіону нормативному рівню, збалансованість міжрегіональних відносин.Названо головні проблеми, що сьогодні загрожують національній економічній безпеці на рівні регіонів, виокремлено головні загрози економічній безпеці регіонів та основні напрями стратегії оптимізації економічної безпеки. Зроблено висновок, що в усьому розмаїтті проблем національної економічної безпеки країни чітко виокремлюється регіональний аспект. Доведено, що досягнення економічної безпеки регіону забезпечує соціально-економічну і суспільно-політичну стабільність, належний рівень та якість життя населення. Для досягнення максимального ефекту програмно-цільового управління необхідно забезпечити повноту цільової комплексної програми економічної безпеки регіону, яку слід реалізовувати поетапно.

Identifying latent variables in Dynamic Bayesian Networks with bootstrapping applied to Type 2 Diabetes complication prediction

Predicting complications associated with complex disease is a challenging task given imbalanced and highly correlated disease complications along with unmeasured or latent factors. To analyse the complications associated with complex disease, this article attempts to deal with complex imbalanced clinical data, whilst determining the influence of latent variables within causal networks generated from the observation. This work proposes appropriate Intelligent Data Analysis methods for building Dynamic Bayesian networks with latent variables, applied to small-sized clinical data (a case of Type 2 Diabetes complications). First, it adopts a Time Series Bootstrapping approach to re-sample the rare complication class with a replacement with respect to the dynamics of disease progression. Then, a combination of the Induction Causation algorithm and Link Strength metric (which is called IC*LS approach) is applied on the bootstrapped data for incrementally identifying latent variables. The most highlighted contribution of this paper gained insight into the disease progression by interpreting the latent states (with respect to the associated distributions of complications). An exploration of inference methods along with confidence interval assessed the influences of these latent variables. The obtained results demonstrated an improvement in the prediction performance.

Bir Bibliyografik Analiz: 1980'den 2021'e Rüzgar Enerjisi Araştırmalarının Gelişimi ve Evrimi

This paper examined the wind energy literature from 1980 to 2021 using bibliometric technique on the Web of Science database Social Science Citation Index (SSCI). Of 2531 publications, 85.89 % are journal articles, and about 99.17 % are published in English. In addition that, the “Environmental Sciences &amp;amp; Ecology” is the most productive research area. The USA is the most productive country based on the total publications, H-index and total citation. Indeed, when to analyze the academic collaborative relationships among countries, the USA and UK are the center of international collaboration and mostly work with China, Spain and Denmark respectively. Furthermore, “Energy Policy” is the most productive journal and “Renewable and Sustainable Energy Reviews” journal has the highest impact factor. Institution performance analysis is to reveal that the Holland, America, England and China universities are more active in the wind energy researches. Moreover, Devine-Wright P. is the most academically influential author in the wind energy. The article with the highest total citations is titled “Beyond NIMBY’ism: towards an integrated framework for understanding public perceptions of wind energy.” According to keyword cooperation analysis, “power”, “wind energy” and “renewable energy” have the highest link strength among other keywords.

Experimental study on the cyclic behaviour of shear links made of BLY160 steel

The cyclic behaviour of shear links made of a new type of low-yield-point (LYP) steel BLY160 is intensively investigated. A total of twelve specimens are designed to evaluate the influence of material type, web compactness, link flange, web stiffeners, restraining ribs of the web panel and link length ratio on force transfer mechanism of shear links. Based on the analysis of the failure mode and process, hysteretic performance, strain distribution and development of test specimens, it is found that the excellent mechanical properties of the BLY160 steel have enabled the shear link to yield at a lower strength and reach an inelastic rotation capacity as large as 0.16 rad. Introducing the link flange and reducing the link length ratio can effectively improve the seismic performance of the shear link. Due to the strain-hardening phenomenon of BLY160 steel, the overstrength factors of shear links have reaches 1.70 to 2.02, and is gradually increasing with the reduction of link length ratio. The current design provisions can be applied to calculate the yield strength of shear links with a link length ratio smaller than 2.0. Except for the shear links with diagonal web stiffeners or composed of traditional steel, all the shear links have reached an equivalent damping coefficient exceeding 0.50. Finally, an isotropic–kinematic combined hardening restoring force model is proposed to simulate the cyclic behaviour of shear links made of BLY160 steel, the feasibility and accuracy is verified by comparing the predicted hysteretic curves and test results of shear links with different forms.