Ecological Informatics

Papers
(The H4-Index of Ecological Informatics is 62. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Robustness and limitations of maximum entropy in plant community assembly293
Selection against ruderals in Danish grasslands over an eight-year period220
Editorial Board179
ResHAN-GAM: A novel model for the inversion and prediction of soil organic matter content162
YoloXT: A object detection algorithm for marine benthos159
Multi-output regression with structurally incomplete target labels: A case study of modelling global vegetation cover151
Combining habitat selection, behavioural states, and individual variation to predict fish spatial usage near a barrier143
Functional diversity of benthic macroinvertebrates and fluvial habitat quality: Key biological trait categories140
Automatic detection of color markings and numbers on trees in point clouds from Personal Laser Scanning (PLS) and Terrestrial Laser Scanning (TLS)139
Predicting eucalyptus plantation growth and yield using Landsat imagery in Minas Gerais, Brazil139
A data-driven approach for the assessment of the thermal stratification of reservoirs based on readily available data137
Spatiotemporal water dynamic modelling of Ramsar-listed lakes on the Victorian Volcanic Plains using Landsat, ICESat-2 and airborne LiDAR data120
Effects of long-term enclosing on distributions of carbon and nitrogen in semia-arid grassland of Inner Mongolia120
Exploiting facial side similarities to improve AI-driven sea turtle photo-identification systems107
Remote sensing algorithm for dissolved organic carbon in the Laptev Sea: Correction of photobleaching effect using spectral slope103
Multilabel classification of peatland plant species from high-resolution drone images103
Beekeeping suitability prediction based on an adaptive neuro-fuzzy inference system and apiary level data102
Potato crop disease prediction in Prince Edward Island using machine learning: A decision support approach for farmers99
Benchmarking remote sensing methods to capture plant functional diversity from space98
Sampling biases across interaction types affect the robustness of ecological multilayer networks94
A novel algal bloom risk assessment framework by integrating environmental factors based on explainable machine learning93
Background-invariant re-identification of dogs from camera-trap videos in non-controlled environments92
The utility of Planetscope spectral data in quantifying above-ground carbon stock in an urban reforested landscape90
Biological-based and remote sensing techniques to link vegetative and reproductive development and assess pollen emission in Mediterranean grasses89
Advancing long-term precipitation pattern forecasting in Atlantic Canada using successive variational mode decomposition, recursive LSTM, and graph-based feature selection88
A fine-tuning workflow for CNN-based bat acoustic classification88
Estimation of canopy nitrogen nutrient status in lodging maize using unmanned aerial vehicles hyperspectral data88
“Flower power”: How flowering affects spectral diversity metrics and their relationship with plant diversity85
A deep-learning based approach to detect and classify animals flying near wind turbines using thermal surveillance cameras and open-source software85
Evaluation of the monitoring capability of various vegetation indices and mainstream satellite band settings for grassland drought84
Identifying sand and dust storm sources using spatial-temporal analysis of remote sensing data in Central Iran83
Automated detection of sea cucumbers in turbid subtidal marine habitats: An explainable approach83
Foundation models in shaping the future of ecology82
Climate change and dispersion dynamics of the invasive plant species Chromolaena odorata and Lantana camara in parts of the central and eastern India77
Spatial and temporal evolution of heatwaves in Taiwan in a changing climate using multi-dimensional complementary ensemble empirical mode decomposition76
Spatiotemporal variation and prediction of NPP in Beijing-Tianjin-Hebei region by coupling PLUS and CASA models75
Modeling CO2 fluxes in coastal wetlands of China using explainable sequence-based deep learning74
Low cost, high efficiency: LiDAR place recognition in vineyards with Matryoshka Representation Learning74
WQEye (v1): A Python-based software for machine learning-based retrieval of water quality parameters from Sentinel-2 and Landsat-8/9 remote sensing data aided by Google Earth Engine73
Deep learning-based keypoint detection for morphological measurement of termite legs with potential occlusion73
A review of acoustic systems for insect monitoring: From recording technologies to species recognition performance73
PAG-MSBNet:Prototype-aware gated multi-scale branch network for open-set crop disease recognition72
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
Corrigendum to “Temporal and spectral classification of satellite-derived aridity reveals multi-scale environmental signals in southern South America” [Ecological Informatics 96 (2026) 103871]68
What AIS misses and Acoustics reveal: Monitoring seafloor disturbance and recovery from bottom trawling in the southern Baltic Sea over five years68
Ecological security patterns of Chinese lakes based on ecosystem service values assessment and human threat factors evaluation67
Evaluation of earth observation datasets for LST trends over India and its implication in global warming67
Comparing phenocam color indices with phenological observations of black spruce in the boreal forest66
Seasonal habitat suitability and distribution patterns of Mediterranean fin whales65
Orchard plantation mapping using remote sensing phenological feature fusion and interpretable ML algorithms in Hunan Province, China64
How urban-rural life experiences shape rural landscape preferences: Group differences and nonlinear threshold effects via VR UAV and interpretable machine learning64
Unraveling the spatiotemporal dynamics and driving mechanisms of soil conservation service flows in the Loess Plateau via XGBoost–SHAP64
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 networks64
Speeding up image annotation and AI-model training for wildlife images63
Generation of spatial data on small vessel activities using a novel fisheries participatory geographic information system63
A machine learning framework for modeling long-term forest carbon dynamics under warming and nitrogen enrichment63
Spatial modeling tool to assess and rank peri-urban land use in an agricultural region of the Midwestern United States62
Foundation models for bioacoustics – A comparative review62
Overcoming cloud obstruction: Fast forest-damage assessment in post-tropical cyclone optical remote sensing62
Construction and optimization of ecological networks in karst regions based on multi-scale nesting: A case study in Guangxi Hechi, China62
An adaptive method for individual tree segmentation synthesizing canopy cover and competitive mechanism using UAV data62
A multi-model ecosystem risk assessment methodology for the Massaciuccoli Lake basin wetland62
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