Rie Yotsu

ORCID: 0000-0001-9102-1912

MedicineVeterinary

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Deep learning for AI-based diagnosis of skin-related neglected tropical diseases: A pilot study”.

Deep learning for AI-based diagnosis of skin-related neglected tropical diseases: A pilot study

PLoS neglected tropical diseases(2023)10.1371/journal.pntd.0011230

N/A

0DataRank · unranked

50 citations

Zhengming Ding, Jihun Hamm, Ronald E. Blanton, Rie Yotsu

An mHealth App (eSkinHealth) for Detecting and Managing Skin Diseases in Resource-Limited Settings: Mixed Methods Pilot Study

JMIR Dermatology(2023)10.2196/46295

N/A

0DataRank · unranked

17 citations

Diabaté Almamy, Bamba Vagamon, Kazuko Ugai, Sakiko Itoh, Yao Didier Koffi +8 more

Buruli ulcer: application of thermography for remote diagnosis of a neglected tropical disease

British Journal of Dermatology(2023)10.1093/bjd/ljad120

N/A

0DataRank · unranked

3 citations

Bamba Vagamon, Diabaté Almamy, N’guessan Aka, Luc Kowaci Gontran Yeboue, Aubin Yao +2 more