On the public citation graph

Domain-Invariant Feature Learning for Cross-Temporal Soil Salinity Mapping using Deep CORAL

0 signed · 22 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ldr.5194openalex-snapshot
Future changes in soil salinization across Central Asia under CMIP6 forcing scenarios
inferredcites →https://doi.org/10.1002/ldr.70157openalex-snapshot
Spatiotemporal Dynamics and Driving Mechanisms of Soil Salinization in Northwest China's Oasis–Desert Regions: A 20‐Year Remote Sensing and Machine Learning Analysis (2000–2020)
inferredcites →https://doi.org/10.1007/978-3-319-49409-8_35openalex-snapshot
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
inferredcites →https://doi.org/10.1007/s10994-009-5152-4openalex-snapshot
A theory of learning from different domains
inferredcites →https://doi.org/10.1007/s11356-021-13503-7openalex-snapshot
Spatial modelling of soil salinity: deep or shallow learning models?
inferredcites →https://doi.org/10.1016/j.agwat.2024.109196openalex-snapshot
Spatial characteristics and critical groundwater depth of soil salinization in arid artesian irrigation area of northwest China
inferredcites →https://doi.org/10.1016/j.ecolind.2025.113608openalex-snapshot
Soil salinization in drylands: Measure, monitor, and manage
inferredcites →https://doi.org/10.1016/j.eswa.2023.122807openalex-snapshot
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
inferredcites →https://doi.org/10.1016/j.jenvman.2019.109863openalex-snapshot
Wetness index based on landscape position and topography (WILT): Modifying TWI to reflect landscape position
inferredcites →https://doi.org/10.1016/j.jhydrol.2007.09.001openalex-snapshot
Effects of DEM resolution on the calculation of topographical indices: TWI and its components
inferredcites →https://doi.org/10.1016/j.neucom.2023.02.010openalex-snapshot
RIME: A physics-based optimization
inferredcites →https://doi.org/10.1073/pnas.2013771117openalex-snapshot
Predicting long-term dynamics of soil salinity and sodicity on a global scale
inferredcites →https://doi.org/10.1109/access.2026.3659988openalex-snapshot
A Hybrid Spatio-Temporal Model for Probabilistic Mapping of Soil Salinity in Arid Regions
inferredcites →https://doi.org/10.1109/tnnls.2020.2988928openalex-snapshot
Deep Subdomain Adaptation Network for Image Classification
inferredcites →https://doi.org/10.1109/tpami.2024.3370978openalex-snapshot
A Comprehensive Survey on Source-Free Domain Adaptation
inferredcites →https://doi.org/10.1186/s40537-019-0197-0openalex-snapshot
A survey on Image Data Augmentation for Deep Learning
inferredcites →https://doi.org/10.18637/jss.v036.i11openalex-snapshot
Feature Selection with the Boruta Package
inferredcites →https://doi.org/10.3233/fi-2010-288openalex-snapshot
Boruta – A System for Feature Selection
inferredcites →https://doi.org/10.3390/rs12142291openalex-snapshot
Sentinel-2 Data for Land Cover/Use Mapping: A Review
inferredcites →https://doi.org/10.3390/rs13020305openalex-snapshot
Soil Salinity Mapping Using Machine Learning Algorithms with the Sentinel-2 MSI in Arid Areas, China
inferredcites →https://doi.org/10.3390/rs16244812openalex-snapshot
Advancements and Perspective in the Quantitative Assessment of Soil Salinity Utilizing Remote Sensing and Machine Learning Algorithms: A Review
inferredcites →https://doi.org/10.3390/soilsystems7020047openalex-snapshot
Prediction of Soil Salinity/Sodicity and Salt-Affected Soil Classes from Soluble Salt Ions Using Machine Learning Algorithms
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.