OOIR: Observatory of International Research

Papers

(The H4-Index of GIScience & Remote Sensing is 35. 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.)

Article	Citations
Trade-offs among productive-living-ecological lands for facilitating low-carbon and efficient cities: evidences in 30 major Chinese cities from 2015 to 2020	107
Forest carbon sink in North China increased in recent two decades, but decreased in extreme drought years	88
Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach	82
A deep learning approach for automatic mapping of poplar plantations using Sentinel-2 imagery	73
The hidden economic costs of air pollution in China: evidence from remotely sensed nighttime light data	71
Mapping the tidal marshes of coastal Virginia: a hierarchical transfer learning approach	67
The use of multisource spatial data for determining the proliferation of stingless bees in Kenya	66
Regression-based surface water fraction mapping using a synthetic spectral library for monitoring small water bodies	59
Mapping invasive alien plant species with very high spatial resolution and multi-date satellite imagery using object-based and machine learning techniques: A comparative study	59
Embedded physical constraints in machine learning to enhance vegetation phenology prediction	58
Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model	58
MSFTrans: a multi-task frequency-spatial learning transformer for building extraction from high spatial resolution remote sensing images	56
Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods	55
A new strategy for improving the accuracy of forest aboveground biomass estimates in an alpine region based on multi-source remote sensing	55
AFSNet: attention-guided full-scale feature aggregation network for high-resolution remote sensing image change detection	51
Global de-trending significantly improves the accuracy of XGBoost-based county-level maize and soybean yield prediction in the Midwestern United States	50
Land cover change detection in the Aralkum with multi-source satellite datasets	47
Evaluating the contribution of Sentinel-2 view and illumination geometry to the accuracy of retrieving essential crop parameters	46
Urban building extraction from high-resolution remote sensing imagery based on multi-scale recurrent conditional generative adversarial network	46
A hybrid integrated deep learning model for predicting various air pollutants	46
An improved optical trapezoid model to identify wetlands and irrigation water ponds in the arid irrigation district using Google Earth Engine	45
The use of maximum entropy and ecological niche factor analysis to decrease uncertainties in samples for urban gain models	45
Contribution of topographic features and categorization uncertainty for a tree species classification in the boreal biome of Northern Ontario	44
Spatial disparity of urban performance from a scaling perspective: a study of industrial features associated with economy, infrastructure, and innovation	44
Dual generative adversarial networks for merging ocean transparency from satellite observations	44

Development of earth observational diagnostic drought prediction model for regional error calibration: A case study on agricultural drought in Kyrgyzstan	41
MSNet: multispectral semantic segmentation network for remote sensing images	40
Monitoring active fires in Borneo from Sentinel-2 MSI images	39
Impacts of the world’s largest afforestation program (Three-North Afforestation Program) on desertification control in sandy land of China	39
Application of deep learning in cloud cover prediction using geostationary satellite images	38
Error budget analysis of geocoding and geometric correction for KOMPSAT-5 SAR imagery	37
Leaf area index and aboveground biomass estimation of an alpine peatland with a UAV multi-sensor approach	37
Characterization of spatio-temporal patterns of grassland utilization intensity in the Selinco watershed of the Qinghai-Tibetan Plateau from 2001 to 2019 based on multisource remote sensing and artifi	36
Ship detection and classification based on cascaded detection of hull and wake from optical satellite remote sensing imagery	36
Cross-comparison of Landsat-8 and Landsat-9 data: a three-level approach based on underfly images	35