OOIR: Observatory of International Research

Papers

(The H4-Index of Ecological Informatics is 39. 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 2020-03-01 to 2024-03-01.)

Article	Citations
Plant leaf disease classification using EfficientNet deep learning model	356
BirdNET: A deep learning solution for avian diversity monitoring	189
A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: A case study with Egyptian medicinal plants	188
Fish detection and species classification in underwater environments using deep learning with temporal information	131
Dense convolutional neural networks based multiclass plant disease detection and classification using leaf images	113
Shapley additive explanations for NO2 forecasting	100
A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications	91
“How many images do I need?” Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring	85
Data augmentation approaches for improving animal audio classification	83
Cross-site learning in deep learning RGB tree crown detection	82
A biological image classification method based on improved CNN	78
A novel CNN-LSTM-based approach to predict urban expansion	73
Insect pest image detection and recognition based on bio-inspired methods	73
A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network	71
An evaluation of feature selection methods for environmental data	68
Application of remote sensing techniques and machine learning algorithms in dust source detection and dust source susceptibility mapping	61
Identification of disease using deep learning and evaluation of bacteriosis in peach leaf	59
Analysis on change detection techniques for remote sensing applications: A review	58
Modeling forest fire risk based on GIS-based analytical hierarchy process and statistical analysis in Mediterranean region	57
VirLeafNet: Automatic analysis and viral disease diagnosis using deep-learning in Vigna mungo plant	57
Machine learning based wildfire susceptibility mapping using remotely sensed fire data and GIS: A case study of Adana and Mersin provinces, Turkey	55
Energy consumption and environmental degradation nexus: A systematic review and meta-analysis of fossil fuel and renewable energy consumption	55
Classification and detection of insects from field images using deep learning for smart pest management: A systematic review	54
Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm	53
Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern India	53

Predicting potential suitable habitats of Chinese fir under current and future climatic scenarios based on Maxent model	53
Individual tree crown delineation from high-resolution UAV images in broadleaf forest	49
Spatial correlation evolution and prediction scenario of land use carbon emissions in China	49
A review of drought monitoring with big data: Issues, methods, challenges and research directions	49
WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection	49
High performing ensemble of convolutional neural networks for insect pest image detection	45
Modeling habitat suitability of Houttuynia cordata Thunb (Ceercao) using MaxEnt under climate change in China	45
Effects of sample size and network depth on a deep learning approach to species distribution modeling	44
Prediction of wetland area and depth using linear regression model and artificial neural network based cellular automata	44
A critical review on water quality index tool: Genesis, evolution and future directions	43
Performance of four state-of-the-art GPP products (VPM, MOD17, BESS and PML) for grasslands in drought years	42
A deep learning ensemble model for wildfire susceptibility mapping	42
Applying network analysis to explore the global scientific literature on food security	42
Improved deep learning framework for fish segmentation in underwater videos	39
Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review	39