Current Hotspots Research Articles

Research hotspots and trends of transcranial magnetic stimulation in Parkinson’s disease: a bibliometric analysis

BackgroundTranscranial magnetic stimulation (TMS), as a non-invasive neuromodulation technique, has been widely used in the treatment of Parkinson’s disease (PD). The increasing application of TMS has promoted an increasing number of clinical studies. In this paper, a bibliometric analysis of existing studies was conducted to reveal current research hotspots and guide future research directions.MethodRelevant articles and reviews were obtained from the Science Citation Index Expanded of Web of Science Core Collection database. Data related to publications, countries, institutions, authors, journals, citations, and keywords in the studies included in the review were systematically analyzed using VOSviewer 1.6.18 and Citespace 6.2.4 software.ResultA total of 1,894 papers on the topic of TMS in PD between 1991 and 2022 were analyzed and visualized to identify research hotspots and trends in the field. The number of annual publications in this field of study has increased gradually over the past 30 years, with the number of annual publications peaking in 2022 (n = 150). In terms of publications and total citations, countries, institutions, and authors from North America and Western Europe were found to make significant contributions to the field. The current hotspot focuses on the effectiveness of TMS for PD in different stimulation modes or different stimulated brain regions. The keyword analysis indicates that the latest research is oriented to the mechanism study of TMS for motor symptoms in PD, and the non-motor symptoms are also receiving more attention.ConclusionOur study offers insights into the current hotspots and emerging trends of TMS in the rehabilitation of PD. These findings may serve as a guide for future research and the application of TMS for PD.

Development Trends, Current Hotspots, and Research Frontiers of Oyster Reefs: A Bibliometric Analysis Based on CiteSpace

Development Trends, Current Hotspots, and Research Frontiers of Oyster Reefs: A Bibliometric Analysis Based on CiteSpace

An empirical analysis of the evolution of piano performance skills based on big data

Abstract The current hotspots of empirical analysis of piano performance skills mainly focus on the recognition of single notes, and there are some limitations in recognition accuracy and noise resistance performance. In this paper, to address this problem, firstly, on the basis of big data, we propose to realize the segmentation of the music section and noise section based on the single-port limit energy difference method and perform note onset and stop detection for the music section based on LMS adaptive filtering algorithm, using the musical characteristics of piano to identify the energy jumping point, which effectively improves the accuracy of note onset and stop detection and avoids the situation of missing and wrong diagnosis. Then the piano piece was played as an example, and the scientific evaluation of the piano performance skills was made based on the results of the determination of note types. The results showed that the errors of the eight notes of the piece were 0.9%, 0.30%, 0.24%, 0.28%, 0.34%, 0.11%, 0.63% and 0.28%. The correct rate of determining the types of notes in the performance technique of the music was 100%, and the error of determining all notes was controlled within 1%. This study provides a reference standard for evaluating the quality of music performance and has broad application prospects in the fields of family leisure, music tutoring, etc.

Global trends in PANoptosis research: bibliometrics and knowledge graph analysis.

PANoptosis has recently been discovered as a new type of cell death. PANoptosis mainly refers to the significant interaction among the three programmed cell death pathways of apoptosis, necroptosis, and pyroptosis. Despite this, only a few studies have examined the systematic literature in this area. By analyzing the bibliometric data for PANoptosis, we can visualize the current hotspots and predicted trends in research. This study analyzed bibliometric indicators using the Histcite Pro 2.0 tool, which searches the Web of Science for PANoptosis literature published between 2016 and 2022. A bibliometric analysis was performed using Histcite Pro 2.0, while research trends and hotspots were visualized using VOSviewer, CiteSpace and BioBERT. The output of related literature was low in the four years from the first presentation of PANoptosis in 2016 to 2020. The volume of relevant literature grew exponentially between 2020 and 2022. The United States and China play a leading role in this field. Although China started late, its research in this field is developing rapidly. As research progressed, more focus was placed on the relationship between PANoptosis and pyroptosis, as well as apoptosis and necrosis. Now is a rapid development stage of PANoptosis research. Most of the research focuses on the cellular level, and the focus is more on the treatment of tumor-related diseases. The current focus of this area is PANoptosis mechanisms in cancer and inflammation. It can be seen from the burst analysis of keywords that caspase1 and host defense have consistently been research hotspots in the field of PANoptosis, while the frequency of NLRC4, causes of autoinflammation, recognition, NLRP3, and GasderminD has gradually increased, all of which have become research hotspots in recent years. Finally, we used the BioBERT biomedical language model to mine the most documented genes and diseases in the PANoptosis field articles, pointing out the direction for subsequent research steps. According to a bibliometric analysis, researchers have shown an increased interest in PANoptosis over the past few years. Researchers initially focused on the molecular mechanism of PANoptosis and pyroptosis, apoptosis, and necroptosis. The role of PANoptosis in diseases and conditions such as inflammation and tumors is one of the current research hotspots in this area. The focus is more on treating inflammation-related diseases, which will become the key development direction of future research.

Zoonotic simian malaria parasites in free-ranging Macaca fascicularis macaques and human malaria patients in Thailand, with a note on genetic characterization of recent isolates

Despite the natural occurrences of human infections by Plasmodium knowlesi, P. cynomolgi, P. inui, and P. fieldi in Thailand, investigating the prevalence and genetic diversity of the zoonotic simian malaria parasites in macaque populations has been limited to certain areas. To address this gap, a total of 560 long-tailed macaques (Macaca fascicularis) and 20 southern pig-tailed macaques (M. nemestrina) were captured from 15 locations across 10 provinces throughout Thailand between 2018 and 2021 for investigation of malaria, as were 15 human samples residing in two simian-malaria endemic provinces, namely Songkhla and Satun, who exhibited malaria-like symptoms. Using PCR techniques targeting the mitochondrial cytb and cox1 genes coupled with DNA sequencing, 40 long-tailed macaques inhabiting five locations had mono-infections with one of the three simian malaria species. Most of the positive cases of macaque were infected with P. inui (32/40), while infections with P. cynomolgi (6/40) and P. knowlesi (2/40) were less common and confined to specific macaque populations. Interestingly, all 15 human cases were mono-infected with P. knowlesi, with one of them residing in an area with two P. knowlesi-infected macaques. Nucleotide sequence analysis showed a high level of genetic diversity in P. inui, while P. cynomolgi and P. knowlesi displayed limited genetic diversity. Phylogenetic and haplotype network analyses revealed that P. inui in this study was closely related to simian and Anopheles isolates from Peninsular Malaysia, while P. cynomolgi clustered with simian and human isolates from Asian countries. P. knowlesi, which was found in both macaques and humans in this study, was closely related to isolates from macaques, humans, and An. hackeri in Peninsular Malaysia, suggesting a sylvatic transmission cycle extending across these endemic regions. This study highlights the current hotspots for zoonotic simian malaria and sheds light on the genetic characteristics of recent isolates in both macaques and human residents in Thailand.

Research on application of radiomics in glioma: a bibliometric and visual analysis.

With the continuous development of medical imaging informatics technology, radiomics has become a new and evolving field in medical applications. Radiomics aims to be an aid to support clinical decision making by extracting quantitative features from medical images and has a very wide range of applications. The purpose of this study was to perform a bibliometric and visual analysis of scientific results and research trends in the research application of radiomics in glioma. We searched the Web of Science Core Collection (WOScc) for publications related to glioma radiomics. A bibliometric and visual analysis of online publications in this field related to countries/regions, authors, journals, references and keywords was performed using CiteSpace and R software. A total of 587 relevant literature published from 2012 to September 2022 were retrieved in WOScc, and finally a total of 484 publications were obtained according to the filtering criteria, including 393 (81.20%) articles and 91 (18.80%) reviews. The number of relevant publications increases year by year. The highest number of publications was from the USA (171 articles, 35.33%) and China (170 articles, 35.12%). The research institution with the highest number of publications was Chinese Acad Sci (24), followed by Univ Penn (22) and Fudan Univ (21). WANG Y (27) had the most publications, followed by LI Y (22), and WANG J (20). Among the 555 co-cited authors, LOUIS DN (207) and KICKINGEREDER P (207) were the most cited authors. FRONTIERS IN ONCOLOGY (42) was the most published journal and NEURO-ONCOLOGY (412) was the most co-cited journal. The most frequent keywords in all publications included glioblastoma (187), survival (136), classification (131), magnetic resonance imaging (113), machine learning (100), tumor (82), and feature (79), central nervous system (66), IDH (57), and radiomics (55). Cluster analysis was performed on the basis of keyword co-occurrence, and a total of 16 clusters were formed, indicating that these directions are the current hotspots of radiomics research applications in glioma and may be the future directions of continuous development. In the past decade, radiomics has received much attention in the medical field and has been widely used in clinical research applications. Cooperation and communication between countries/regions need to be enhanced in future research to promote the development of radiomics in the field of medicine. In addition, the application of radiomics has improved the accuracy of pre-treatment diagnosis, efficacy prediction and prognosis assessment of glioma and helped to promote the development into precision medicine, the future still faces many challenges.

Improving the energy storage performance of (Bi0.5Na0.5)TiO3–BaTiO3 based ceramics via (Sr0.7Bi0.2)TiO3 modification

The research and development of energy storage materials and devices has now become the current hotspot. In this work, we designed high performance (0.93-x)(Bi0.5Na0.5)TiO3-0.07BaTiO3-x(Sr0.7Bi0.2)TiO3 (BNT-0.07BT-xSBT) energy storage ceramics with large recoverable energy storage density and high energy efficiency. Results showed that the introduction of SBT into BNT-0.07BT matrix improved the crystal structure symmetry of the material and induced strong relaxation behavior with broadened dielectric peak. The ferroelectric long-term order of the BNT-0.07BT matrix is destructed via SBT modification, yielding the slender P-E hysteresis loop in samples with higher SBT content. Good energy storage performance with large effective energy storage density Wrec of 3.26 J/cm3 and high energy storage efficiency η of 90.3% was obtained in 40 mol%SBT -modified sample, under the electric field of 260 kV/cm. The charge-discharge performance test showed that the sample exhibited a short discharge time (t0.9 = 143 ns) and a relatively high power density (PD = 40.8 MW/cm3) under an electric field of 160 kV/cm. Moreover, sample showed good thermal stability in the temperature range of 30–180 °C and high frequency stability in the frequency range of 1–1000 Hz. As an attractive material for dielectric capacitor, BNT-0.07BT-xSBT energy storage ceramics have potential applications in pulse power systems.

Cancer-associated Fibroblast-derived Extracellular Vesicles Mediate Immune Escape of Bladder Cancer via PD-L1/PD-1 Expression.

Bladder cancer (BCa) is a malignant urological tumor with a high prevalence and poor prognosis. Extracellular vesicles (EVs) are increasingly becoming current hotspots owing to their involvement in cancer progression. This paper probed into the action of cancer-associated fibroblast-derived EVs (CAF-EVs) in the immune escape of BCa. CAFs were identified by immunofluorescence. EVs were extracted from CAFs via ultracentrifugation and later characterized. BCa cells (T24 cell line) were co-cultured with CD8+ T cells and then treated with CAF-EVs. The uptake of EVs by T24 cells was examined by confocal laser microscopy. T24 cell apoptosis and invasion were assessed using flow cytometry and invasion assay. CD8+ T cell proliferation was evaluated using CFSE staining. The levels of cytokines (IFN-γ, IL-2, and TNF-α) were measured by ELISA. PD-L1 and PD-1 levels were determined utilizing RT-qPCR and flow cytometry. BCa mouse models were established to identify the effect of CAF-EVs on BCa progression in vivo. CAF-EVs decreased apoptosis and enhanced invasion of T24 cells, reduced proliferation of CD8+ T cells, and diminished levels of IFN-γ, IL-2, and TNF-α secreted by CD8+ T cells. CAF-EVs promoted the immune escape of T24 cells by carrying PD-L1. Downregulation of PDL1 expression in T24 cells or EVs partially counteracted the promotion of CAF-EVs on immune escape by reducing the binding of PD-L1 and PD-1. Additionally, CAF-EVs raised tumor volume and weight, upregulated PD-L1 expression, and weakened CD8+ T cell infiltration in BCa mice. CAF-EVs facilitate the immune escape of BCa by upregulating PD-L1/PD-1.

Differences between migrasome, a 'new organelle', and exosome.

The migrasome is a new organelle discovered by Professor Yu Li in 2015. When cells migrate, the membranous organelles that appear at the end of the retraction fibres are migrasomes. With the migration of cells, the retraction fibres which connect migrasomes and cells finally break. The migrasomes detach from the cell and are released into the extracellular space or directly absorbed by the recipient cell. The cytoplasmic contents are first transported to the migrasome and then released from the cell through the migrasome. This release mechanism, which depends on cell migration, is named 'migracytosis'. The main components of the migrasome are extracellular vesicles after they leave the cell, which are easy to remind people of the current hot topic of exosomes. Exosomes are extracellular vesicles wrapped by the lipid bimolecular layer. With extensive research, exosomes have solved many disease problems. This review summarizes the differences between migrasomes and exosomes in size, composition, property and function, extraction method and regulation mechanism for generation and release. At the same time, it also prospects for the current hotspot of migrasomes, hoping to provide literature support for further research on the generation and release mechanism of migrasomes and their clinical application in the future.

Design and simulation of a flexible piezoelectric sensing array with stable sensitivity and high duty cycle

Flexible piezoelectric sensing arrays (FPSA) have an irreplaceable role in the fields of stress detection and self-energy supply and are part of the current hotspots of research in flexible electronics. In this paper, a FPSA with stable sensitivity and high duty cycle is designed to achieve high sensitivity over a wide range and a high duty cycle of 84.17%. The sensing unit uses two inverted trapezoidal prismatic structures (ITPS) with piezoelectric layers with stable sensitivity to pressure. For practical fabrication, a single-electrode array and cut package are proposed to solve the crosstalk problem between the highly duty cycle array units. The single-electrode array reduces the array structure’s complexity and the process’s difficulty. The cut package reduces crosstalk between units and improves the stress sensitivity of the array. Comsol Multiphysics and Abaqus provide strong validation and analysis of this design. The designed FPSA, which has demonstrated excellent performance in simulation analysis, significantly decreases the time and economic cost of device preparation. Given the compelling features, this study offers an effective solution for mitigating unit crosstalk in flexible sensing arrays, which hold significant academic research promise and application value.

Research on the Multi-probability of a Nuclear Reactor Core Digital Twins in the HeTu platform

Digital twin (DT) technology plays a fundamental role in innovation in the energy field. At present, research of nuclear reactor DT is mainly focused on methodologies of multi-disciplinary, multi-physical, and multi-scale coupling simulation. However, the lack of research on multi-probability seems to limit the DT application. Multi-probabilities are widely found in reactor operation, such as process measurement uncertainty, equipment degradation uncertainty, theoretical model uncertainty, and so on. How to realize the DT of the reactor system based on the multi-probability principle to achieve the real-time operation state and the remaining useful life estimation, and to realize the autonomous operation control under the uncertainties, are the current hotspot and difficult issues. The solutions of a reactor core DT platform HeTu are discussed in this paper for probability estimation and probability control based on probability programming methodologies. The results show that Bayesian estimation and model prediction control methods proposed in HeTu could obtain satisfactory results for practical application.

Covid-19 and Sarcopenia: A bibliometric analysis

Background - Covid-19 disease affects all organs of the human body including muscles. However, the association between “Covid-19 and Sarcopenia” is not analyzed, bibliometrically. In order, to track the current hotspots, and highlight future directions, we performed a bibliometric analysis on this topic.
 Methods - Studies on “Covid-19 and Sarcopenia” were obtained from the Scopus database and then analyzed the publication data received by using well-established bibliometric indices. The main parameters of publications analyzed were: document type, country, collaboration patterns, affiliation, journal name, and citation patterns. MS-Excell and VOSviewer were applied to map and determine important topics in this field.
 Results - The bibliometric analysis indicated 846 publications, between December 2019 and April 25, 2023. These papers received 15651 citations, averaging 18.5 Citations Per Paper (CPP). 29.43% of publications received extramural funding from international agencies and together registered a CPP of 40.66. The USA published the largest number of publications (n=162). However, the highest CPP and Relative Citation Index (RCI) was registered by China (186.0 and 10.05). “Medicine” contributed the largest share (82.98%) in global output. The Sapienza Università di Roma, Italy (n=20) was the most productive institution. Whereas, Deutsches Zentrum für Herz-Kreislauf-Forschung e. V., Germany registered the highest CPP and RCI. F. Landi was the most impactful author. International Journal of Environmental Research and Public Health (n=38), and Nutrients (n=28) were the most productive journals. The most prevalent topics of research as reflected in keywords by frequency of their appearance were “Covid-19” (n=810), “Sarcopenia” (n=324), “Skeleton Muscle” (n=309), “Muscle Mass” (n=214), “Grip Strength” (n=199), “Physical Activity” (n=172).
 Conclusions- This bibliometric study on ‘Covid-19 and Sarcopenia” revealed that within a short period, these papers received a high number of citations (average of 18.5 CPP). Those papers which got external funding received much higher CPP (40.66). Maximum contributory and impactful authors were from High-Income Countries. The highly cited papers were 5.25% of the total publications.

Compound heatwave and drought hotspots and their trends in Southeast Australia

Compound extreme natural events cause a significantly larger impact than individual extreme events. Therefore, the urgency of exploring the climatology of compound events is growing. This paper is aimed to identify the current hotspots of compound heatwaves and droughts (CHD) and trends in their occurrence in southeast Australia. In this context, 61 weather stations were selected from the study area, and analyses were carried out over the extended summer season of the time period 1971–2021. The hotspots of CHDs in southeast Australia were identified considering both the total count of CHD days and 90th percentile of CHDs during the study period. The study period was divided into two periods 1971–2000 and 2001–2021, to assess the change in hotspots spatially and temporally. Four different attributes of CHDs based on the number, duration, severity and amplitude of CHDs were also calculated, and Mann–Kendall (MK) test followed by Sen’s slope was adopted to detect the trends in all these four attributes of CHDs. Trends in CHD indices were also calculated for the two periods of 1971–2000 and 2001–2021. For calculating the CHD, excess heat factor (EHF) was used to identify the heatwaves. In the case of drought identification, SPEI and SPI drought indices were adopted with aggregation of 3 and 126 antecedent months, and three different threshold values were selected to consider three levels of dry conditions, e.g. 0, − 0.5 and − 1.0. It has been found that more CHDs occurred on the eastern side of NSW and Queensland states. Furthermore, the total count of CHD days increased notably during the last two decades. The trends in CHD indices were found to be significant in the recent period (2001–2021), and there was no trend in the earlier period (1971–2000). The findings of this study will help to plan heat and drought-related emergency management in the study area.

The application of infrared thermography technology in flap: A perspective from bibliometric and visual analysis.

The application of infrared thermography technology (IRT) in flap has become a major focus of research, as it provides a non-invasive, real-time, and quantitative approach for monitoring flap perfusion. In this regard, we conducted a comprehensive visualization and scientometric analysis to systematically summarize and discuss the current state of research in this field. We systematically reviewed publications on the application of IRT in flap procedures from 1999 to 2022, using the Web of Science Core Collection (WoSCC). Through scientometric analysis, we examined annual trends, affiliations, countries, journals, authors, and their relationships, providing insights into current hotspots and future developments in this area. We analysed 522 English studies and found a steady increase in annual publications. The United States and Germany had the highest publication rates, with Beth Israel Deaconess Medical Center and Shanghai Jiaotong University being leading institutions. Notably, Lee BT and Alex Keller emerged as influential authors in this field. Compared to existing techniques, infrared-based technology offers significant advantages for non-invasive monitoring of flap perfusion, including simplicity of operation and objective results. Future trends should focus on interdisciplinary collaborations to develop new infrared devices and achieve intelligent image processing, enabling broader application in various clinical scenarios. This bibliometric study summarizes the progress and landscape of research on 'the Application of infrared thermography technology in flap' over the past two decades, providing valuable insights and serving as a reliable reference to drive further advancements and spark researchers' interest in this field.

Topic Mining and Future Trend Exploration in Digital Economy Research

This work proposes a new literature topic clustering analysis framework, based on which the topics of digital-economy-related studies are condensed. First, we calculated the word vector of keywords using the FastText model, and then the keywords were merged according to semantic similarity. A hierarchical clustering method based on the Jaccard coefficient was employed to cluster the domain documents. Finally, the information gain method was applied to estimate the high-gain feature words for each category of topics. Based on the above framework, 23 categories of research topics were formed. We divided these topics into layers of digital technology, convergence innovation and digital governance, and we constructed a three-level digital economy research framework. Thereafter, the current hot spots and frontier trends were derived based on the number and growth rate of the literature. Our study revealed that the research on digital technology, which is the basic layer of the digital economy, has waned. The field related to the integration and innovation of digital technology and the real economy was the current research focus, among which the results with respect to “New Business Forms in the Digital Age”, “Circular Economy” and “Gig Economy” were abundant. The problems of the unbalanced development of the digital economy and digital monopoly have strengthened research on digital governance. Furthermore, research on “Regional Digital Economy”, “Chinese Digital Economy” and “Data Management” is in its initial stage and is a potential area of future research.

Mechanical DC Breakers and Hybrid MMC-Based Coordinated Strategy for MMC-HVDC DC Fault Riding Through

The bipolar short circuit fault, which is the most destructive DC side fault of MMC-HVDC systems, and its riding through strategy is a current hotspot. Hybrid MMC is a promising topology for HVDC applications with the capability of DC fault isolation, however, it still suffers from the high cost. This paper proposes a mechanical DC breakers and hybrid MMC based coordinated DC fault ride-through strategy that can reduce the ratio of the full-bridge submodules (FBSMs) in the hybrid MMC and obviously cut the cost. To be specific, this strategy mainly depends on the FBSM’s negative output to suppress the fault current and eventually block it with the mechanical DC breakers. The impact on the performance of fault ride-through by the ratio of FBSMs in the hybrid MMC is analyzed, and the superiority of the strategy proposed in this paper has been proved with the analysis of conventional strategies. Finally, the effectiveness of the proposed strategy is validated with the RT-LAB experimental platform, and the optimal ratio range is obtained through the multiple groups of simulation experiments with different ratios of FBSMs in hybrid MMC base on MATLAB/Simulink.

Global research trends on B7-H3 for cancer immunotherapy: A bibliometric analysis (2012-2022)

ABSTRACT Immunotherapy has revolutionized cancer treatment. B7-H3 is a promising target for cancer immunotherapy (CI). The present study aimed to utilize bibliometric methods to assess the current research status and explore future trends in the use of B7-H3 for CI. We collected publications related to B7-H3/CI from the Clarivate Web of Science Core Collection database. VOSviewer, Microsoft Excel, the bibliometrix R package, and an online platform were used to conduct qualitative and visualized analyses of the literature. A total of 555 papers were analyzed, revealing a significant increase in annual publications since 2018. The most productive countries were China and the USA, and the leading institutions were Soochow University and Sichuan University. Zang and Ferrone were the most popular authors. Among the journals, Frontiers in Immunology had the highest number of papers, whereas Clinical Cancer Research was the most influential. Historical citation analysis reveals the development of B7-H3/CI. Top-cited papers and keyword analyses were performed to highlight current hotspots in the domain. Using cluster analysis, we classified all keywords into four clusters: “immunotherapy,” “co-stimulatory molecule,” “B7 family,” and “PD-L1.” Finally, Trends analysis suggested that future research might focus on “chimeric antigen receptor,” “pathways,” and “targeting B7-H3.” This is the first bibliometric crosstalk analysis between B7-H3 and CI. Our study illustrates that the topic of B7-H3/CI is very popular and has great clinical implications and that the number of correlative publications will continue to increase. B7-H3-based CI may lead to new research trends.

Tracking Research on Hemoglobin-Based Oxygen Carriers: A Scientometric Analysis and In-Depth Review.

Numerous studies on the formulation and clinical applications of novel hemoglobin-based oxygen carriers (HBOCs) are reported in the scientific literature. However, there are fewer scientometric analysis related to HBOCs. Here, we illustrate recent studies on HBOCs using both a scientometric analysis approach and a scope review method. We used the former to investigate research on HBOCs from 1991 to 2022, exploring the current hotspots and research trends, and then we comprehensively analyzed the relationship between concepts based on the keyword analysis. The evolution of research fields, knowledge structures, and research topics in which HBOCs located are revealed by scientometric analysis. The elucidation of type, acting mechanism, potential clinical practice, and adverse effects of HBOCs helps to clarify the prospects of this biological agent. Scientometrics analyzed 1034 publications in this research field, and these findings provide a promising roadmap for further study.

Current and future sinkhole susceptibility in karst and pseudokarst areas of the conterminous United States

Sinkholes in karst and pseudokarst regions threaten infrastructure, property, and lives. We mapped closed depressions in karst and pseudokarst regions of the conterminous United States (U.S.) from 10-m-resolution elevation data using high-performance computing, and then created a heuristic additive model of sinkhole susceptibility that also included nationally consistent data for factors related to geology, soils, precipitation extremes, and development. Maps identify potential sinkhole hotspots based on current conditions and projections for 50 years into the future (the years 2070–2079) based on climate change and urban development scenarios. Areas characterized as having either high or very high sinkhole susceptibility contain 94%–99% of known or probable sinkhole locations from three U.S. state databases. States and counties with the highest amounts and percentages of land in zones of highest sinkhole susceptibility are identified. Projected changes in extreme precipitation and development did not substantially change current hotspots of highest sinkhole susceptibility. Results provide a uniform index of sinkhole potential that can support national planning, instead of existing assessments produced through various methods within individual states or smaller areas.

Global Trends and Future Directions in Agricultural Remote Sensing for Wheat Scab Detection: Insights from a Bibliometric Analysis

The study provides a comprehensive bibliometric analysis of imaging and non-imaging spectroscopy for wheat scab (INISWS) using CiteSpace. Therefore, we underpinned the developments of global INISWS detection at kernel, spike, and canopy scales, considering sensors, sensitive wavelengths, and algorithmic approaches. The study retrieved original articles from the Web of Science core collection (WOSCC) using a combination of advanced keyword searches related to INISWS. Afterward, visualization networks of author co-authorship, institution co-authorship, and country co-authorship were created to categorize the productive authors, countries, and institutions. Furthermore, the most significant authors and the core journals were identified by visualizing the journal co-citation, top research articles, document co-citation, and author co-citation networks. The investigation examined the major contributions of INISWS research at the micro, meso, and macro levels and highlighted the degree of collaboration between them and INISWS knowledge sources. Furthermore, it identifies the main research areas of INISWS and the current state of knowledge and provides future research directions. Moreover, an examination of grants and cooperating countries shows that the policy support from the People’s Republic of China, the United States of America, Germany, and Italy significantly benefits the progress of INISWS research. The co-occurrence analysis of keywords was carried out to highlight the new research frontiers and current hotspots. Lastly, the findings of kernel, spike, and canopy scales are presented regarding the best algorithmic, sensitive feature, and instrument techniques.