Yan‐Fang Sang
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Chinese Academy of Sciences, Ministry of Natural Resources, Tibet Autonomous Region Hospital, Institute of Geographic Sciences and Natural Resources Research, University of Chinese Academy of Sciencesas 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
- 0000-0001-6770-9311
- OpenAlex ID
- A5062325279, A5130943701, A5135326163as 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
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 12
A discrete wavelet spectrum approach for identifying non-monotonic trends in hydroclimate data,
Big data based architecture for drought forecasting using LSTM, ARIMA, and Prophet: Case study of the Jiangsu Province, China,
CCHZ‐DISO: A Timely New Assessment System for Data Quality or Model Performance From Da Dao Zhi Jian,
Discussion on the Choice of Decomposition Level for Wavelet Based Hydrological Time Series Modeling,
Gradation of complexity and predictability of hydrological processes,
Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring,
Near real time de-noising of satellite-based soil moisture retrievals: An intercomparison among three different techniques,
Performance Evaluation of Long NDVI Timeseries from AVHRR, MODIS and Landsat Sensors over Landslide-Prone Locations in Qinghai-Tibetan Plateau
+4 more
← Authored by 12
A discrete wavelet spectrum approach for identifying non-monotonic trends in hydroclimate data,
Big data based architecture for drought forecasting using LSTM, ARIMA, and Prophet: Case study of the Jiangsu Province, China,
CCHZ‐DISO: A Timely New Assessment System for Data Quality or Model Performance From Da Dao Zhi Jian,
Discussion on the Choice of Decomposition Level for Wavelet Based Hydrological Time Series Modeling,
Gradation of complexity and predictability of hydrological processes,
Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring,
Near real time de-noising of satellite-based soil moisture retrievals: An intercomparison among three different techniques,
Performance Evaluation of Long NDVI Timeseries from AVHRR, MODIS and Landsat Sensors over Landslide-Prone Locations in Qinghai-Tibetan Plateau
+4 more
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Summary
Yan‐Fang Sang is a human[1].