🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Yu Sun

Rutgers, The State University of New Jersey

ORCID: 0000-0001-9953-291X

Also affiliated with University of South Florida, Line Corporation (Japan), Jilin Agricultural University, Artificial Intelligence in Medicine (Canada)

EngineeringMedicineHealth ProfessionsComputer Science

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 3%percentile
1.1Author DataRank

Indexed papers

1in 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 1 indexed paper 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 →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Multimodal neonatal procedural and postoperative pain assessment dataset

Data in Brief(2021)10.1016/j.dib.2021.106796
Top 19%
1.1DataRank
Top 19%33 citations

Ghada Zamzmi, Jacqueline Hausmann, Dmitry B. Goldgof, Rangachar Kasturi, Marcia Kneusel +4 more

Papers

Driven by 8 papers — median percentile 81. Top paper: “Multimodal neonatal procedural and postoperative pain assessment dataset”.

Multimodal neonatal procedural and postoperative pain assessment dataset

Data in Brief(2021)10.1016/j.dib.2021.106796
Top 19%
1.1DataRank
Top 19%33 citations

Ghada Zamzmi, Jacqueline Hausmann, Dmitry B. Goldgof, Rangachar Kasturi, Marcia Kneusel +4 more

Pattern Recognition in Vital Signs Using Spectrograms

2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)(2021)10.1109/smc52423.2021.9658924
N/A
0DataRank · unranked
5 citations

Md Sirajus Salekin, Dmitry B. Goldgof, Ghada Zamzmi, Mark Last, Yu Sun +1 more

Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification

PubMed(2023)10.1109/cbms58004.2023.00236
N/A
0DataRank · unranked
6 citations

Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof, Md. Imran Hossain

Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting

IEEE Access(2024)10.1109/access.2024.3383789
N/A
0DataRank · unranked
19 citations

Md Sirajus Salekin, Ghada Zamzmi, Peter R. Mouton, Stephanie Prescott, Thao Ho +3 more

Enhancing Concept-Based Explanation with Vision-Language Models

PubMed(2024)10.1109/cbms61543.2024.00044
N/A
0DataRank · unranked
2 citations

Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry Goldgof, Md. Imran Hossain

Explainable AI (XAI) for Neonatal Pain Assessment via Influence Function Modification

PubMed(2024)10.1109/embc53108.2024.10782892
N/A
0DataRank · unranked
1 citations

Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry Goldgof, Md. Imran Hossain

Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment

Computers in Biology and Medicine(2020)10.1016/j.compbiomed.2020.104150
N/A
0DataRank · unranked
84 citations

Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun +1 more

Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds

PubMed(2025)10.1109/cbms65348.2025.00174
N/A
0DataRank · unranked
1 citations

Abhiram Kandiyana, Peter R. Mouton, Yu Sun, Dmitry Goldgof, Anthony McCofie