Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Machine learning-assisted spectroscopic approaches for pesticide residue detection in food matrices

2026Food Research InternationalJournal

10.1016/j.foodres.2026.120168 Full text0 citations

Authors

7 authors across 4 institutions in 3 countries.

Bonaventure Chidi EzenwanneFirst author
- University of Nigeria (NG)
Charles Obinwanne Okoye
Stanley Ebhohimhen Abhadiomhen
- University of Nigeria (NG)
Emmanuel Chigozie Aham
- University of Nigeria (NG)
Olufemi Olalowo Olasoji
- University of Nigeria (NG)
Yanfang Wu
Jianxiong JiangSenior authorCorresponding

Fields

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

Spectroscopy and Chemometric Analyseslevel 3 · 0.44
Pesticide Residue Analysis and Safetylevel 3 · 0.33
Dye analysis and toxicitylevel 3 · 0.03

Sources

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

openalexseen September 9, 2026
2026 · Food Research International · 0 citations
https://openalex.org/W7171315674

Machine learning-assisted spectroscopic approaches for pesticide residue detection in food matrices · Sankore