Mapping error in the parallel realizations of SAMANN algorithm by Viktor Medvedev, Gintautas Dzemyda

“…  In this paper we discuss the visualization of multidimensional vectors. A well-known procedure for mapping data from a high-dimensional space onto a lower-dimensional one is Sammon's mapping. …”
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Scalable method for exploring phylogenetic placement uncertainty with custom visualizations using treeio and ggtree by Meijun Chen, Xiao Luo, Shuangbin Xu, Lin Li, Junrui Li, Zijing Xie, Qianwen Wang, Yufan Liao, Bingdong Liu, Wenquan Liang, Ke Mo, Qiong Song, Xia Chen, Tommy Tsan‐Yuk Lam, Guangchuang Yu

“…However, many existing phylogenetic placement methods lack comprehensive features for downstream analysis and visualization. Visualization tools often ignore placement uncertainty, making it difficult to explore and interpret placement data effectively. …”
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Comprehensive Analysis of the Biomechanical Research of Pelvic Organ Prolapse: A Scientometric Approach by Du H, Yang M, Qi X, Yang L, Wang Z, Yang T, Xu S, Fu L

“…We employed various visualization software to generate scientific knowledge maps, facilitating data analysis and visual representation.Results: This study included 292 publications, comprising 252 research articles (86.3%) and 40 review articles (13.7%). …”
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Visual quantitative analysis of hot literature on interstitial lung diseases based on Web of Science database by Zhi-Jun FAN, Jia-Hui LI, Qiao WANG, Jia-Ming CAO, Hui-Yuan LIU, Yue-Lin ZHANG, Ling-Yu FU

“…Objective To make a visual bibliometric analysis of the development trend of interstitial lung diseases and research hotspots in international fields, and to provide reference information for the development of interstitial lung diseases research in China.Methods Using Citespace 5.5 software and Web of Science database as data source, the year, country, journal and keywords of interstitial lung diseases published in recent ten years were analyzed visually.Results A total of 6098 literatures were retrieved, and the number of articles published has gradually increased since 2011. …”
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Global research trends in seismic landslide: A bibliometric analysis by Mengjie Yang, Shenghua Cui, Tao Jiang

“…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.…”
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Global research hotspots and trends in DNA vaccine research: A bibliometric and visualization study from 2014 to 2024 by Juan Zhang, Haiguo Zhang, Cuicui Yao, Lihua Gu, Shasha Dong, Yamei Wu, Lele Miao

“…By employing data sourced from the Web of Science Core Collection, we identified a total of 3,600 articles. …”
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Progress and Prospect of Solid Waste Utilization in Construction Industry: A Bibliometric Analysis Based on CiteSpace and VOSviewer by Runrun Dong, Huixian Yu, Jing Lu

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Insights gained through real-time monitoring of porcine reproductive and respiratory syndrome virus and description of temporal trends based on laboratory data in Ontario, Canada by Tatiana Petukhova, Maria Spinato, Tanya Rossi, Michele T. Guerin, Cathy A. Bauman, Pauline Nelson-Smikle, Davor Ojkic, Zvonimir Poljak

“…The final optimized, aggregated, and anonymized datasets were exported to the Tableau server and were used to design dynamic real-time visualizations with Tableau Desktop v.2021.4. Constructed dashboards were: (1) monthly number of submissions and positive submissions over the last 10 years; (2) number of submissions and positive submissions over the last 3 years, interactively displayed at weekly, monthly, quarterly and yearly intervals; (3) monthly number of PRRSV restriction fragment length polymorphism pattern (RFLP) types at the submission level over the last 5 years; (4) weekly number of tested farms and positive farms over the last 6 Years; (5) monthly number of tested farms and positive farms over the last 6 Years; (6) indicators of the epidemiological data quality in each month; and (7) contextual information. …”
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Global research trends in biological therapy for ankylosing spondylitis: A comprehensive visualization and bibliometric study (2004–2023) by Weiliang He, Haicheng Yang, Xuanzhe Yang, JinFeng Huang, Zixiang Wu

“…Global literature on AS and biological therapy published from 2004 to 2023 was searched in the Web of Science, Scopus, and PubMed databases. Visualization and bibliometric analysis were carried out using the VOSviewer and CiteSpace software with the retrieved data regarding countries, institutions, journals, authors, and keywords. …”
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Application of monoclonal antibodies in diabetes: A bibliometric analysis from 2004–2024 by Rui Wei, Bochao Jia, Shuang Zheng, Xuexue Zhang, Miaoran Wang, Ning Sun, Rui Zhang, Qiuyan Li

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Research trends of protein palmitoylation in cancer from 2004 to 2024: a bibliometric and visualization analysis by Yufeng Peng, Kewei Peng, Yi Wang, Luyao Li, Yuefei Lu

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Mapping evolution and trends of cell membrane-coated nanoparticles: A bibliometric analysis and scoping review by Li Chong, Hu Jing, He Jing, He Chengqi

“…The analysis included co-authorships, co-citations, and co-occurrences of countries, institutions, authors, references, and keywords. Visualized tools such as Citespace, VOSviewer, and R Package Bibliometrix were employed to present the data. …”
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A risk prediction system for depression in middle-aged and older adults grounded in machine learning and visualization technology: a cohort study by Jinsong Du, Jinsong Du, Jinsong Du, Xinru Tao, Le Zhu, Wenhao Qi, Xiaoqiang Min, Xiaoqiang Min, Hongyan Deng, Shujie Wei, Xiaoyan Zhang, Xiao Chang

“…This study innovatively proposed a visual risk prediction system for depressive symptoms and depression in middle-aged and older adults, rooted in machine learning and visualization technologies.MethodsUsing cohort data from the China Health and Retirement Longitudinal Study (CHARLS), involving 8,839 middle-aged and older adult participants, the study developed predictive models based on eight machine learning algorithms, primarily including LightGBM, XGBoost, and AdaBoost. …”
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Global Research Trends and Focus on the Link Between Heart Failure and NLRP3 Inflammasome: A Bibliometric Analysis From 2010 to 2024 by Lian Y, Zhang H, Xing W, Li S, Lai X, Jia S, Shang J, Liu H

“…Despite mounting evidence demonstrating the pivotal function of the NLRP3 inflammasome in HF, a thorough bibliometric examination of research focal points and trajectories in this domain has yet to be undertaken.Methods: Publications related to the NLRP3 inflammasome in HF were retrieved from the Web of Science database spanning 2010– 2024. The acquired data were subsequently analyzed utilizing various visualization instruments, including Citespace, VOSviewer, Scimago Graphica, and Microsoft Office Excel 2021.Results: A total of 282 papers were included in the analysis, authored by 2,130 researchers from 500 institutions across 34 nations/regions. …”
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A visualization system for intelligent diagnosis and statistical analysis of oral diseases based on panoramic radiography by Yue Hong, Tianya Pan, Shenji Zhu, Miaoxin Hu, Zhiguang Zhou, Ting Xu

“…We further develop statistical correlation analysis to visually evaluate and interactively explore the statistical data from oral health surveys. …”
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Multimodal Augmented Reality System for Real-Time Roof Type Recognition and Visualization on Mobile Devices by Bartosz Kubicki, Artur Janowski, Adam Inglot

“…It facilitates a more straightforward comprehension of the interconnections, interdependencies, and spatial context of data. Furthermore, the presentation of analyses and the combination of spatial data with annotated data are facilitated. …”
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Region Space Guided Transfer Function Design for Nonlinear Neural Network Augmented Image Visualization by Fei Yang, Xiangxu Meng, JiYing Lang, Weigang Lu, Lei Liu

“…Quality of biomedical volume data is often impacted by partial effect, noisy, and bias seriously due to the CT (Computed Tomography) or MRI (Magnetic Resonance Imaging) devices, which may give rise to an extremely difficult task of specifying transfer function and thus generate poor visualized image. …”
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Digital Twin Smart City Visualization with MoE-Based Personal Thermal Comfort Analysis by Hoang-Khanh Lam, Phuoc-Dat Lam, Soo-Yol Ok, Suk-Hwan Lee

“…Using Cesium for Unreal, a powerful tool for integrating 3D geospatial data, and leveraging DataSmith to convert 3D data into Unreal Engine format, this study also contributes a roadmap for smart city application development, which is currently considered to be lacking. …”
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VoxelSky-3D: A Weather Radar Visualization Prototype for Air Traffic Control by Zhenhao Zhan, Tek-Yong Lim, Kannan Ramakrishnan

“…The experimental results verified that VoxelSky-3D is an effective application for visualizing weather radar data in 3D, which directly provides ATCOs with intuitive views of the vertical atmospheric conditions. …”
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Development of a Visualization Platform for Power Generation Analysis in Urban Building-Integrated Photovoltaic Systems by Xi Chen, Hai Long, Ye Xia

“…This article details the implementation of the visualization platform across four key aspects: data generation and input, power generation and economic calculation, building model creation and data mapping, and visual interface design, aiming to facilitate the efficient planning and deployment of distributed photovoltaic systems in complex urban environments.…”
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