Ecological Informatics

Papers
(The H4-Index of Ecological Informatics is 52. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Sampling biases across interaction types affect the robustness of ecological multilayer networks278
Spatial and temporal evolution of heatwaves in Taiwan in a changing climate using multi-dimensional complementary ensemble empirical mode decomposition188
Automated plant species identification from the stomata images using deep neural network: A study of selected mangrove and freshwater swamp forest tree species of Bangladesh171
Bayesian networks as a novel tool to enhance interpretability and predictive power of ecological models160
Evaluation of earth observation datasets for LST trends over India and its implication in global warming137
Evaluation of Gangetic dolphin habitat suitability under hydroclimatic changes using a coupled hydrological-hydrodynamic approach126
Exploiting facial side similarities to improve AI-driven sea turtle photo-identification systems124
Automatic detection of color markings and numbers on trees in point clouds from Personal Laser Scanning (PLS) and Terrestrial Laser Scanning (TLS)121
Combining habitat selection, behavioural states, and individual variation to predict fish spatial usage near a barrier119
Robustness and limitations of maximum entropy in plant community assembly112
A novel algal bloom risk assessment framework by integrating environmental factors based on explainable machine learning109
Remote sensing algorithm for dissolved organic carbon in the Laptev Sea: Correction of photobleaching effect using spectral slope108
A data-driven approach for the assessment of the thermal stratification of reservoirs based on readily available data103
Generalizing resemblance coefficients to accommodate incomplete data95
The TreeTalkersCheck R package: An automatic daily routine to check physiological traits of trees in the forest95
Application of geographical information system (GIS) in reducing accident blackspots and in planning of a safer urban road network: A review89
Exploring the connection of physical habitat health of the wetland with its gas regulating services88
Selection against ruderals in Danish grasslands over an eight-year period84
Biological-based and remote sensing techniques to link vegetative and reproductive development and assess pollen emission in Mediterranean grasses82
Multi-output regression with structurally incomplete target labels: A case study of modelling global vegetation cover82
Identifying sand and dust storm sources using spatial-temporal analysis of remote sensing data in Central Iran82
Predicting eucalyptus plantation growth and yield using Landsat imagery in Minas Gerais, Brazil79
Editorial Board77
Comparing phenocam color indices with phenological observations of black spruce in the boreal forest77
Effects of long-term enclosing on distributions of carbon and nitrogen in semia-arid grassland of Inner Mongolia77
Spatiotemporal water dynamic modelling of Ramsar-listed lakes on the Victorian Volcanic Plains using Landsat, ICESat-2 and airborne LiDAR data75
Motion vectors and deep neural networks for video camera traps75
Foundation models in shaping the future of ecology74
Evaluation of the monitoring capability of various vegetation indices and mainstream satellite band settings for grassland drought71
“Flower power”: How flowering affects spectral diversity metrics and their relationship with plant diversity71
Beekeeping suitability prediction based on an adaptive neuro-fuzzy inference system and apiary level data70
YoloXT: A object detection algorithm for marine benthos68
Construction and optimization of ecological networks in karst regions based on multi-scale nesting: A case study in Guangxi Hechi, China67
Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convolutional networks66
Estimation of canopy nitrogen nutrient status in lodging maize using unmanned aerial vehicles hyperspectral data65
Hybrid convolution neural network model for a quicker detection of infested maize plants with fall armyworms using UAV-based images62
Climate change and dispersion dynamics of the invasive plant species Chromolaena odorata and Lantana camara in parts of the central and eastern India62
Ecological security patterns of Chinese lakes based on ecosystem service values assessment and human threat factors evaluation61
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
The utility of Planetscope spectral data in quantifying above-ground carbon stock in an urban reforested landscape61
Spatiotemporal variation and prediction of NPP in Beijing-Tianjin-Hebei region by coupling PLUS and CASA models61
Temporal dynamics of biodiversity in benthic macroinvertebrate communities from a 140-year sedimentary DNA record and their driving mechanisms60
Spatial modeling tool to assess and rank peri-urban land use in an agricultural region of the Midwestern United States60
Adaptive image processing embedding to make the ecological tasks of deep learning more robust on camera traps images59
The dynamic driving mechanisms of wetland change from an asynchrony-spatiotemporal perspective: A case study in Pearl River Delta, China55
Flood-drought shifts monitoring on arid Xinjiang, China using a novel machine learning based algorithm54
Quantifying observer variance in expansive monitoring program indicator data with heterogeneous-variance mixed-effects models53
Leveraging citizen science to classify and track benthic habitat states: An unsupervised UMAP-HDBSCAN pipeline applied to the global reef life survey dataset53
Centroid-AME: An open-source software for estimating avian migration trajectories using population centroids movement in the annual cycle53
Metric learning unveiling disparities: A novel approach to recognize false trigger images in wildlife monitoring52
Automated near real-time monitoring in ecology: Status quo and ways forward52
On the importance of integrating convolution features for Indian medicinal plant species classification using hierarchical machine learning approach52
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