Exploring the research trend and development of sports science technology in the last 4 decades: systematic review by Andhega Wijaya, Muchamad Arif Al Ardha, Nurhasan Nurhasan, Chung Bing Yang, Ru Han Lin, Andika Bayu Putro

“…Medicine and engineering emerged as the most influential subject areas, underscoring the interdisciplinary nature of the research. …”
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Multi-Sensor Fusion for Land Subsidence Monitoring: Integrating MT-InSAR and GNSS with Kalman Filtering and Feature Importance to Northern Attica, Greece by Vishnuvardhan Reddy Yaragunda, Emmanouil Oikonomou

“…Random Forest regression analysis, coupled with Partial Dependence analysis, demonstrated that distance to faults, proximity to streams, and the presence of stream drops and debris zones were the most influential factors affecting displacement patterns. …”
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Modeling Equatorial to Mid‐Latitudinal Global Night Time Ionospheric Plasma Irregularities Using Machine Learning by Ephrem Beshir Seba, Giovanni Lapenta

“…In addition, we investigate the most influential input parameters for predicting global nighttime PI characteristics. …”
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Cement supply chain distortion and its Shadow Market in Ethiopia by Alemayehu Derege

“…Regulatory strength and administrative malpractice display complex patterns, indicating that having policies in place is not sufficient; effective enforcement is crucial. …”
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Trends and challenges of forecasting in the airline industry research by Dewi Oki Anita Candra, Masruroh Nur Aini, Wibowo Budhi Sholeh

“…A systematic literature review in the Scopus database used Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) and bibliometric analysis. It identified key patterns, influential publications, and emerging topics. …”
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Exploring Tourism Experiences: The Vision of Generation Z Versus Artificial Intelligence by Ioana-Simona Ivasciuc, Adina Nicoleta Candrea, Ana Ispas

“…This study explores the tourism experiences of Romanian Generation Z members, focusing on their travel patterns, motivations, information sources, and service preferences. …”
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Data-driven price trends prediction of Ethereum: A hybrid machine learning and signal processing approach by Ebenezer Fiifi Emire Atta Mills, Yuexin Liao, Zihui Deng

“…This paper examines the most influential features of the daily price trends of Ethereum using a novel approach that combines the Random Forest classifier and the ReliefF method. …”
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The Twenty-First Century Social Media Research: A Bibliometric Review by Anthony Mensah, Peter Agbedemnab, Nasir Asiedu

“…The analysis involved co-word analysis and citation analysis, which made it possible to uncover the patterns of research topics and aided the identification of influential publications and authors. …”
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Delegated voting in decentralized autonomous organizations: a scoping review by Lukas Weidener, Fabio Laredo, Fabio Laredo, Kishore Kumar, Karlin Compton, Karlin Compton

“…Synthesizing insights from 13 publications, this review identifies key governance trade-offs, implementation patterns, and risks associated with DV. It also outlines future research directions, including multi-tiered governance structures and decision-support mechanisms, to guide more inclusive and context-aware DAO governance.…”
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Bacterial functional responses to environmental variability: a case study in three distinct mountain lakes within a single watershed by Silvena Boteva, Marieta Stanachkova, Ivan Traykov, Boyanka Angelova, Anelia Kenarova

“…Multidimensional analyses revealed significant influences of lake-specific characteristics, sampling month, and the interaction between these factors on CLPP patterns. Nutrients and water temperature were identified as the most influential environmental factors affecting bacterial communities. …”
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Bayesian Networks Applied to the Maritime Emissions Trading System: A Tool for Decision-Making in European Ports by Javier Vaca-Cabrero, Nicoletta González-Cancelas, Alberto Camarero-Orive, Jorge Quijada-Alarcón

“…Likewise, navigation patterns and traffic regionalisation show a strong correlation with ETS exposure, which could lead to adjustments in maritime routes. …”
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Optimizing UAV sprayer performance using field data and machine learning approaches by Doğan Güneş, Hideo Hasegawa

“…Additionally, particle-based simulations were conducted in Python to visualize droplet deposition patterns under six UAV flight scenarios. Results showed that flight speed and droplet size were the most influential factors affecting spray coverage. …”
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Global research trends and collaborations in acute kidney injury (AKI) and sepsis: a bibliometric analysis (2004–2024) by Yuru Yang, Shuang Zhao, Shuai Liu

“…The study utilized network visualization techniques to assess co-authorship, citation patterns, and keyword co-occurrence, focusing on the most influential countries, institutions, and research collaborations.Results Results reveal China leads in publication volume, yet countries like the United States and Australia show higher international collaboration rates and citation impact. …”
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Landslide data sample augmentation and landslide susceptibility analysis in Nyingchi City based on the MCMC model by Lianchen Liu, Peiqing Wang, Libin Su, Feng Li

“…The results show that: (1) The SVM achieved 97.3% classification accuracy with the MCMC-augmented data, indicating the effectiveness of the generation method; (2) The LightGBM model trained on augmented data yielded a higher AUC value than that trained on original data; (3) The most influential factors for landslide susceptibility were distance to roads, aspect, and elevation; (4) Although there were minor differences in the susceptibility maps generated from the two datasets, their overall spatial patterns were similar. …”
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THE INFLUENCE OF CHILD GROWTH STATUS AND FAMILY RELATIONSHIPS ON THE SOCIAL-EMOTIONAL DEVELOPMENT OF PRESCHOOL-AGE CHILDREN by Sisilia Indriasari Widianingtyas, Etik Lusiani, Agung Kurniawan Saputra

“… Background: Social-emotional development is one of the most influential aspects of a child's subsequent development. …”
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Mapping the Evolution of Corporate Social Responsibility Research (2015–2024): A Bibliometric Analysis Based on Scopus by Cristyano Cristyano, Suryadi Suryadi, Riyanto Riyanto

“…Stakeholder Theory, Legitimacy Theory, and Institutional Theory emerge as the most influential conceptual foundations, shaping both normative debates and strategic implementation. …”
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The evolution of research on academic procrastination during Covid-19: A visual analysis using VOSviewer and Biblioshiny by Wahidah Fitriani, Rahayu Eka Putri, Diyana Kamarudin, Adam Mudinillah

“…However, a significant gap exists in terms of analyzing the broader patterns and trends in this field through bibliometric analysis. …”
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Beyond the Whistle: Mapping Global Trends in Physical Education Teaching Methods through Bibliometric Analysis by Jian Li, Seong Pek Lim

“…The study employed bibliometric techniques, including co-citation and co-word analysis, to rigorously assess publishing patterns, influential works, and theme clusters using data from 278 articles that were retrieved from the Web of Science. …”
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Utilising Smart-Meter Harmonic Data for Low-Voltage Network Topology Identification by Ali Othman, Neville R. Watson, Andrew Lapthorn, Radnya Mukhedkar

“…This paper first analyses the influential factors affecting topology identification, establishing that harmonic distortion propagation patterns offer superior discrimination compared to RMS voltage. …”
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What we know and what should we know about the future of blockchain in finance [version 1; peer review: 2 approved] by Chinmoy Kumar, Shashank Gupta, Rachana Jaiswal, Shikta Singh

“…It guides systematic reviews by pinpointing prominent journals and influential authors within the dynamic field of blockchain finance, thereby fostering a deeper understanding and facilitating further exploration in this evolving field.…”
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