Hee-Ju Kang

MedicineNeurosciencePsychology

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.

N/A

0Author DataRank · unranked

Indexed papers

2in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 2 papers. Top paper: “Multimodal machine learning models for predicting remission in major depressive disorder using clinical data, blood biomarkers, and DNA methylation”.

Multimodal machine learning models for predicting remission in major depressive disorder using clinical data, blood biomarkers, and DNA methylation

Journal of Affective Disorders(2026)10.1016/j.jad.2026.121259

N/A

0.165DataRank · unranked

2 citations

Hee-Ju Kang, Taeyeong Lee, KyungMin Kang, Jae-min Kim, Hwamin Lee +1 more

Prediction of 12-Week Remission in Patients With Depressive Disorder Using Reasoning-Based Large Language Models: Model Development and Validation Study

JMIR Mental Health(2026)10.2196/83352

N/A

0.165DataRank · unranked

2 citations

Hee-Ju Kang, Ji Hyeon Jeon, Sung-Gil Kang, Ju-Wan Kim, Jae‐Min Kim +2 more