OOIR: Observatory of International Research

Papers

(The H4-Index of Ecological Informatics is 42. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Plant leaf disease classification using EfficientNet deep learning model	468
BirdNET: A deep learning solution for avian diversity monitoring	281
A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: A case study with Egyptian medicinal plants	230
A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications	152
Dense convolutional neural networks based multiclass plant disease detection and classification using leaf images	145
An evaluation of feature selection methods for environmental data	90
A novel CNN-LSTM-based approach to predict urban expansion	89
Classification and detection of insects from field images using deep learning for smart pest management: A systematic review	89
WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection	83
Modeling forest fire risk based on GIS-based analytical hierarchy process and statistical analysis in Mediterranean region	82
Predicting potential suitable habitats of Chinese fir under current and future climatic scenarios based on Maxent model	79
Spatial correlation evolution and prediction scenario of land use carbon emissions in China	77
Machine learning based wildfire susceptibility mapping using remotely sensed fire data and GIS: A case study of Adana and Mersin provinces, Turkey	76
Energy consumption and environmental degradation nexus: A systematic review and meta-analysis of fossil fuel and renewable energy consumption	76
Analysis on change detection techniques for remote sensing applications: A review	71
Identification of disease using deep learning and evaluation of bacteriosis in peach leaf	69
VirLeafNet: Automatic analysis and viral disease diagnosis using deep-learning in Vigna mungo plant	65
Spatial differentiation of traditional villages using ArcGIS and GeoDa: A case study of Southwest China	63
A critical review on water quality index tool: Genesis, evolution and future directions	63
Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm	61
A review of drought monitoring with big data: Issues, methods, challenges and research directions	60
Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern India	59
Modeling habitat suitability of Houttuynia cordata Thunb (Ceercao) using MaxEnt under climate change in China	57
High performing ensemble of convolutional neural networks for insect pest image detection	57
Individual tree crown delineation from high-resolution UAV images in broadleaf forest	57

Effects of sample size and network depth on a deep learning approach to species distribution modeling	56
YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment	52
A deep learning ensemble model for wildfire susceptibility mapping	50
Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review	49
Impact of LUCC on landscape pattern in the Yangtze River Basin during 2001–2019	49
A novel multi-head CNN design to identify plant diseases using the fusion of RGB images	48
A robust deep attention dense convolutional neural network for plant leaf disease identification and classification from smart phone captured real world images	47
Review of machine learning techniques for mosquito control in urban environments	46
Prediction of wetland area and depth using linear regression model and artificial neural network based cellular automata	46
Application of virtual reality teaching method and artificial intelligence technology in digital media art creation	46
Detection and classification of chilli leaf disease using a squeeze-and-excitation-based CNN model	46
DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection	45
A review of deep learning techniques used in agriculture	45
From local spectral species to global spectral communities: A benchmark for ecosystem diversity estimate by remote sensing	44
Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system	44
Identification of animals and recognition of their actions in wildlife videos using deep learning techniques	44
Identifying and classifying plant disease using resilient LF-CNN	43
Pollution characteristics and risk assessment of heavy metals in the soil of a construction waste landfill site	42
Spectral analysis using LANDSAT images to monitor the chlorophyll-a concentration in Lake Laja in Chile	42