Maize yield estimation in Northeast China’s black soil region using a deep learning model with attention mechanism and remote sensing by Xingke Li, Yunfeng Lyu, Bingxue Zhu, Lushi Liu, Kaishan Song

“…The relative importance analysis of input variables revealed that Enhanced Vegetation Index (EVI), Sun-Induced Chlorophyll Fluorescence (SIF), and DCM were the most influential factors in yield prediction. Furthermore, our framework enables maize yield prediction 1–2 months in advance by leveraging historical patterns of environmental and agricultural variables, providing valuable lead time for decision-making. …”
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Analyzing CLIL Studies in Primary Education: Bibliometric analysis by Lazzat Yegizbayeva, Wilfried Admiraal, Makpal Zhazykova, Altyngul Mustoyapova, Almagul Akiyeva, Bakitgul Nurseitova, Asem Saimagambetova

“…Our analysis encompassed tracking publication and citation patterns, identification of highly cited documents, assessment of prolific authors, nations, and universities, and recognition of influential journals. …”
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Discovering the Structure of Knowledge in Urban Data Mining Using Vocabulary Co-occurrence Analysis by Enayat Alah Mohaghegh Nasab, Mahmoud Mohamadi

“…The results show that the most influential and leading country in this field is China, whose researchers have published 28 articles in the science citation database. …”
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Prevalence and ecological factors affecting the distribution of plant-parasitic nematodes in Prunus groves in Spain by Ilenia Clavero-Camacho, Antonio Archidona-Yuste, Carolina Cantalapiedra-Navarrete, Pablo Castillo, Juan Emilio Palomares-Rius

“…Seven soil physico-chemical (C, Mg, N, Na, OM, P, pH and clay, loamy sand and sandy loam texture classes), four climate (Bio04, Bio05, Bio13 and Bio14) and four agricultural management variables (grove-use history less than 10 years, irrigation, apricot seedling rootstock, and Montclar rootstock) were identified as the most influential variables driving spatial patterns of PPNs communities. …”
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Could alien Impatiens capensis invade habitats of native I. noli-tangere in Europe? – Contrasting effects of microhabitat conditions on species growth and reproduction by Monika Myśliwy, Beata Bosiacka, Mateusz Bosiacki, Patrycja Kupnicka, Dariusz Chlubek, Agnieszka Rewicz

“…A comparison of RDA results showed the environmental factors to explain 86.4% of the trait variability in I. noli-tangere, the soil Pb content (56%) and habitat fertility (21%) being most influential, followed by shading and the soil pH and Ca content. …”
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The Effect of Local Water Governance on the use of Virtual Water: A Case Study of Isfahan Province by Afshin Mottaghi, Hasan Sadrania, Mohammad Yousefi Shatori

“…Aim: Identify the influential and key variables of local water governance regarding virtual water use in Isfahan Province. …”
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Clustering and classification of early knee osteoarthritis using machine-learning analysis of step-up and down test kinematics in recreational table tennis players by Ui-jae Hwang, Kyu Sung Chung, Sung-min Ha

“…Unsupervised learning (Louvain clustering) was used to identify distinct movement patterns, whereas supervised learning algorithms were employed to classify EOA status. …”
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Machine learning framework for investigating nano- and micro-scale particle diffusion in colonic mucus by Marco Tjakra, Kristína Lidayová, Christophe Avenel, Christel A.S. Bergström, Shakhawath Hossain

“…SHapley Additive exPlanations analysis identified creep compliance as the most influential feature in distinguishing the mucus models. …”
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Predicting Range Shifts of Five <i>Alnus</i> (Betulaceae) Species in China Under Future Climate Scenarios by Wenjie Yang, Zhilong Huang, Chenlong Fu, Zhuang Zhao, Xiaoyue Yang, Quanjun Hu, Zefu Wang

“…Model accuracy was high, with temperature seasonality identified as the most influential variable. In addition, predicted range shifts showed species-specific patterns, with most species expanding toward higher latitudes and elevations. …”
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Mapping research trends in physical education pedagogies: a bibliometric analysis using scopus database by Uray Gustian, Adang Suherman, Yusi Rika Yustiana, Megia Erida, Arief Abdul Malik, Fika Nuraini Rusmitaningsih

“…Keith Davids is a famous and influential author with the most publications and the highest citations. …”
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Advanced explainable models for strength evaluation of self-compacting concrete modified with supplementary glass and marble powders by Khan Kaffayatullah, Khan Muhammad Ehsan Ullah, Al-Naghi Ahmed A. Alawi, Amin Muhammad Nasir, Iftikhar Bawar, Qadir Muhammad Tahir

“…Model interpretability was ensured through Shapley Additive exPlanations, partial dependence plots, and individual conditional expectation analyses, which identified curing time as the most influential feature. The Taylor plot and validation metrics confirmed RF’s superior reliability. …”
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Quantifying the Drivers of the Spatial Distribution of Urban Surfaces in Bangladesh: A Multi-Method Geospatial Analysis by Kazi Jihadur Rashid, Rajsree Das Tuli, Weibo Liu, Victor Mesev

“…The Geodetector analysis identified the central business district (CBD) as the most influential driver of urban surface distribution, with a q statistic of 0.22, followed by river proximity (<i>q</i> = 0.14) and administrative boundaries (<i>q</i> = 0.13). …”
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Drivers Influencing on the self-organization of villagers and improving sustainable rural livelihoods Ashtian County by Naser Shafieisabet, Masoudeh Nikoeifard, Neginsadat Mirvahedi

“…Additionally, among the 24 primary influential factors, 10 critical drivers emerged as pivotal to advancing villagers' self-organization and promoting long-term sustainability in rural livelihoods. …”
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Anchor-Based Explainable and Causal Artificial Intelligence for Enhancing Financial Predictions of Future Earnings by Siriporn Sawangarreerak, Putthiporn Thanathamathee, Pankaewta Lakkanawanit, Nor Shaipah Abdul Wahab

“…Prior approaches focus on correlational patterns without establishing genuine causal relationships or providing straightforward rule-based explanations. …”
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Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach by Guanjin Wang, Hachem Bennamoun, Wai Hang Kwok, Jenny Paola Ortega Quimbayo, Bridgette Kelly, Trish Ratajczak, Rhonda Marriott, Roz Walker, Jayne Kotz

“…Explanations from EBM, Shapley additive explanations, and local interpretable model-agnostic explanations identified consistent patterns of key influential factors, including questions related to “Feeling Lonely,” “Blaming Herself,” “Makes Family Proud,” “Life Not Worth Living,” and “Managing Day-to-Day.” …”
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Spatiotemporal dynamics of soil moisture and the occurrence of hysteresis during seasonal transitions in a headwater catchment by Shangqiang Hui, Li Guo, Haochen Liu, Xuemei Wu, Ping Lan, Elizabeth W. Boyer, Carlos R. Mello, Hongxia Li

“…More specifically, topography and soil properties primarily influence soil moisture patterns during the transition from wet to dry seasons, whereas vegetation and topography are more influential during the transition from dry to wet. …”
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Ambient temperature influenced co-expression network of major developmental, circadian, and photoreceptor genes in bread wheat by Tibor Kiss, Ádam D. Horváth, András Cseh, Zita Berki, Krisztina Balla, Marianna Mayer, Viola Tóth, Ildikó Karsai

“…The two phases differ significantly in terms of the most influential environmental stimuli; ambient temperature above the vernalization threshold exert a more pronounced influence on the molecular-genetic regulation of intensive stem elongation. …”
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An Analysis on Tendency Components on Strategic Approach in the Process of Urban Planning in Iran by Hosseini Mahnaz, Ghadami Mostafa

“…Unfortunately, this plan has not been successful in achieving their goals, for the initial patterns of these projects is understanding the patterns and experiences of other countries. …”
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Interdisciplinary Insights and Global Perspectives on ADHD in Children: A Comprehensive Bibliometric Analysis (2014–2024) by Mohamed E. Elnageeb, Elsadig Mohamed Ahmed, Khalid M. Adam, Ali M. Edris, Elshazali Widaa Ali, Elmoiz Idris Eltieb, Eltayeb Abdelazeem Idress, D. S. Veerabhadra Swamy, Mohammed Hassan Moreljwab, Ali M. S. Eleragi

“…By conducting this analysis, we were able to examine patterns in publications, author affiliations, the geographic spread of research, and identify influential texts and developing research topics. …”
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A Machine Learning Approach for User Behavior Analysis in Developing Websites by Aeesha Shaheen

“…The information obtains from trained neural networks use for identifying influential pages and predict user behavior pattern based on interactions. …”
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