Ecological Informatics

Papers
(The H4-Index of Ecological Informatics is 50. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-10-01 to 2025-10-01.)
ArticleCitations
Editorial Board265
Multi-output regression with structurally incomplete target labels: A case study of modelling global vegetation cover180
Generalizing resemblance coefficients to accommodate incomplete data168
Selection against ruderals in Danish grasslands over an eight-year period157
Evaluation of earth observation datasets for LST trends over India and its implication in global warming133
Evaluation of Gangetic dolphin habitat suitability under hydroclimatic changes using a coupled hydrological-hydrodynamic approach121
Climate change and dispersion dynamics of the invasive plant species Chromolaena odorata and Lantana camara in parts of the central and eastern India121
Motion vectors and deep neural networks for video camera traps118
Automatic detection of color markings and numbers on trees in point clouds from Personal Laser Scanning (PLS) and Terrestrial Laser Scanning (TLS)117
Biological-based and remote sensing techniques to link vegetative and reproductive development and assess pollen emission in Mediterranean grasses110
Combining habitat selection, behavioural states, and individual variation to predict fish spatial usage near a barrier106
Robustness and limitations of maximum entropy in plant community assembly103
Predicting eucalyptus plantation growth and yield using Landsat imagery in Minas Gerais, Brazil98
Construction and optimization of ecological networks in karst regions based on multi-scale nesting: A case study in Guangxi Hechi, China93
Effects of long-term enclosing on distributions of carbon and nitrogen in semia-arid grassland of Inner Mongolia90
Ecological security patterns of Chinese lakes based on ecosystem service values assessment and human threat factors evaluation87
Spatiotemporal variation and prediction of NPP in Beijing-Tianjin-Hebei region by coupling PLUS and CASA models82
Foundation models in shaping the future of ecology82
A novel algal bloom risk assessment framework by integrating environmental factors based on explainable machine learning81
Beekeeping suitability prediction based on an adaptive neuro-fuzzy inference system and apiary level data79
Hybrid convolution neural network model for a quicker detection of infested maize plants with fall armyworms using UAV-based images78
Spatial and temporal evolution of heatwaves in Taiwan in a changing climate using multi-dimensional complementary ensemble empirical mode decomposition77
Exploring the connection of physical habitat health of the wetland with its gas regulating services75
YoloXT: A object detection algorithm for marine benthos74
Identifying sand and dust storm sources using spatial-temporal analysis of remote sensing data in Central Iran74
The utility of Planetscope spectral data in quantifying above-ground carbon stock in an urban reforested landscape74
Automated plant species identification from the stomata images using deep neural network: A study of selected mangrove and freshwater swamp forest tree species of Bangladesh71
Comparing phenocam color indices with phenological observations of black spruce in the boreal forest70
A data-driven approach for the assessment of the thermal stratification of reservoirs based on readily available data70
Application of geographical information system (GIS) in reducing accident blackspots and in planning of a safer urban road network: A review68
The TreeTalkersCheck R package: An automatic daily routine to check physiological traits of trees in the forest67
Spatiotemporal water dynamic modelling of Ramsar-listed lakes on the Victorian Volcanic Plains using Landsat, ICESat-2 and airborne LiDAR data66
“Flower power”: How flowering affects spectral diversity metrics and their relationship with plant diversity65
Bayesian networks as a novel tool to enhance interpretability and predictive power of ecological models64
Evaluation of the monitoring capability of various vegetation indices and mainstream satellite band settings for grassland drought62
Estimation of canopy nitrogen nutrient status in lodging maize using unmanned aerial vehicles hyperspectral data62
Spatiotemporal changes and driving mechanism of ecosystem carbon sink in karst peak cluster depression basin in Southwest Guangxi based on the interaction of “water-rock-soil-air-biology”61
YWnet: A convolutional block attention-based fusion deep learning method for complex underwater small target detection60
Temporal dynamics of biodiversity in benthic macroinvertebrate communities from a 140-year sedimentary DNA record and their driving mechanisms59
A geographical traceability method for Lanmaoa asiatica mushrooms from 20 township-level geographical origins by near infrared spectroscopy and ResNet image analysis techniques59
The relative impact of co-occurring stressors on the abundance of benthic species examined with three-way correspondence analysis59
Spatial modeling tool to assess and rank peri-urban land use in an agricultural region of the Midwestern United States59
Individual tree crown width detection from unmanned aerial vehicle images using a revised local transect method58
Spatio-temporal heterogeneity of ecological water level in Poyang Lake, China57
The dynamic driving mechanisms of wetland change from an asynchrony-spatiotemporal perspective: A case study in Pearl River Delta, China53
Adaptive image processing embedding to make the ecological tasks of deep learning more robust on camera traps images53
Towards heat tolerant metagenome functional prediction, coral microbial community composition, and enrichment analysis53
Long-term phosphorus mass-balance of Lake Erie (Canada-USA) reveals a major contribution of in-lake phosphorus loading53
New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia51
MobileNet-GRU fusion for optimizing diagnosis of yellow vein mosaic virus51
Flood-drought shifts monitoring on arid Xinjiang, China using a novel machine learning based algorithm50
Comparing the physico-chemistry dynamics of running waters (North-East of France) based on sequence clustering50
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