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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Comparing the use of all data or specific subsets for training machine learning models in hydrology: A case study of evapotranspiration prediction

2023Journal of HydrologyJournalOpen access

10.1016/j.jhydrol.2023.130399 Full text11 citations

Authors

13 authors across 9 institutions in 4 countries.

Haiyang ShiFirst authorCorresponding
Geping LuoCorresponding
Olaf Hellwich
Xiufeng He
Mingjuan Xie
Wenqiang Zhang
Friday Uchenna Ochege
- University of Port Harcourt (NG)
as printed: Friday U. Ochege
Qing Ling
Yu Zhang
Ruixiang Gao
Alishir Kurban
Philippe De Maeyer
Tim Van de VoordeSenior author

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Plant Water Relations and Carbon Dynamicslevel 3 · 1.00
Hydrology and Watershed Management Studieslevel 3 · 1.00
Soil and Unsaturated Flowlevel 3 · 0.99

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2023 · Journal of Hydrology · 11 citations
https://openalex.org/W4388209477

Comparing the use of all data or specific subsets for training machine learning models in hydrology: A case study of evapotranspiration prediction · Sankore