Journal Article 2022

A heterogeneous couplings and persuasive user/item information model for Next Basket recommendation

John Kingsley Arthur, Conghua Zhou, Jeremiah Osei-Kwakye, Eric Appiah Mantey, Yaru Chen

Engineering Applications of Artificial Intelligence, 114, 105132 · Elsevier BV

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DOI: 10.1016/j.engappai.2022.105132
Faculty: Department of Computing Sciences and Engineering
Research area: Computing & Information Systems

VVU authors

John Kingsley Arthur Department of Computing Sciences and Engineering Jeremiah Osei-Kwakye Department of Computing Sciences and Engineering

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Impact

11 Citations Highest count across sources — OpenAlex 9 · Crossref 9 · Semantic Scholar 11.
9 Cites (5 yrs) Citations received in the last five years (OpenAlex).
1 Influential Citing papers that build substantially on this work (Semantic Scholar).
3 Reads Visitors who opened this publication on VVU Scholar.
0 Recommendations Readers who recommended it on VVU Scholar.
1.94 FWCI Field-weighted citation impact: 1.00 is the world average for papers of the same field, type and year (OpenAlex).
cited Top 12% More cited than 88% of papers from the same field and year (OpenAlex).

Citations by source (the highest is shown):OpenAlex 9Crossref 9Semantic Scholar 11

Online attention on Altmetric

External figures updated 26 Oct 2026.

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