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

Dongfang Xu

Film Independent

ORCID: 0000-0003-0828-1102
Computer ScienceBiochemistry, Genetics and Molecular BiologyMaterials SciencePsychology

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
0.943Author 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.

Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae010
Top 21%
0.943DataRank
Top 21%16 citations

Juan M. Banda, Yuting Guo, Ana Lucía Schmidt, Dongfang Xu, Ivan Amaro +4 more

Papers

Driven by 7 papers — median percentile 79. Top paper: “Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium”.

Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae010
Top 21%
0.943DataRank
Top 21%16 citations

Juan M. Banda, Yuting Guo, Ana Lucía Schmidt, Dongfang Xu, Ivan Amaro +4 more

Overview of the 8 th Social Media Mining for Health Applications (#SMM4H) Shared Tasks at the AMIA 2023 Annual Symposium

medRxiv(2023)10.1101/2023.11.06.23298168
N/A
0.330DataRank · unranked
8 citations

Juan M. Banda, Yuting Guo, Ana Lucía Schmidt, Dongfang Xu, Jesus Ivan Flores Amaro +4 more

Triplet-Trained Vector Space and Sieve-Based Search Improve Biomedical Concept Normalization

UA Campus Repository (The University of Arizona)(2021)10.18653/v1/2021.bionlp-1.2
N/A
0DataRank · unranked
7 citations

Steven Bethard, Dongfang Xu

Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa080
N/A
0DataRank · unranked
30 citations

Manoj Gopale, Jiacheng Zhang, Kris Brown, Edmon Begoli, Steven Bethard +1 more

A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization

(2020)10.18653/v1/2020.acl-main.748
N/A
0DataRank · unranked
43 citations

Zeyu Zhang, Steven Bethard, Dongfang Xu

Overview of the 9th Social Media Mining for Health Applications (#SMM4H) Shared Tasks at ACL 2024 – Large Language Models and Generalizability for Social Media NLP

HAL (Le Centre pour la Communication Scientifique Directe)(2024)10.18653/v1/2024.smm4h-1.40
N/A
0DataRank · unranked
0 citations

Guillermo López-García, Lisa Raithel, Philippe Thomas, Roland Roller, Eiji Aramaki +19 more

Scoring Physician Risk Communication in Prostate Cancer Using Large Language Models

medRxiv(2025)10.1101/2025.08.07.25333034
N/A
0DataRank · unranked
0 citations

Dongfang Xu, Michael Luu, Renning Zheng, Timothy J. Daskivich, Graciela Gonzalez‐Hernandez +1 more