Wendi Liu
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Liaoning University, Donghua University, Anhui University of Science and Technology, Anhui Science and Technology Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-7294-4404
- OpenAlex ID
- A5101478204, A5084678660, A5137053325, A5137918554as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 10
Application of proxy-based MCMC and EDFM to history match a shale gas condensate well,
A Spatial Correlation-Based Anomaly Detection Method for Subsurface Modeling,
Assessing the Accuracy and Consistency of Six Fine-Resolution Global Land Cover Products Using a Novel Stratified Random Sampling Validation Dataset,
Demonstration and Mitigation of Spatial Sampling Bias for Machine-Learning Predictions,
GLC_FCS30D: the first global 30 m land-cover dynamics monitoring product with a fine classification system for the period from 1985 to 2022 generated using dense-time-series Landsat imagery and the continuous change-detection method,
Global annual wetland dataset at 30 m with a fine classification system from 2000 to 2022,
GWL_FCS30: a global 30 m wetland map with a fine classification system using multi-sourced and time-series remote sensing imagery in 2020,
Physics-informed graph neural network for spatial-temporal production forecasting
+2 more
← Authored by 10
Application of proxy-based MCMC and EDFM to history match a shale gas condensate well,
A Spatial Correlation-Based Anomaly Detection Method for Subsurface Modeling,
Assessing the Accuracy and Consistency of Six Fine-Resolution Global Land Cover Products Using a Novel Stratified Random Sampling Validation Dataset,
Demonstration and Mitigation of Spatial Sampling Bias for Machine-Learning Predictions,
GLC_FCS30D: the first global 30 m land-cover dynamics monitoring product with a fine classification system for the period from 1985 to 2022 generated using dense-time-series Landsat imagery and the continuous change-detection method,
Global annual wetland dataset at 30 m with a fine classification system from 2000 to 2022,
GWL_FCS30: a global 30 m wetland map with a fine classification system using multi-sourced and time-series remote sensing imagery in 2020,
Physics-informed graph neural network for spatial-temporal production forecasting
+2 more
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Summary
Wendi Liu is a human[1].