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

Xinxing Xu

South China Normal University

ORCID: 0000-0003-1449-3072

Also affiliated with Microsoft Research Asia (China)

MedicineAgricultural and Biological SciencesComputer ScienceBiochemistry, Genetics and Molecular Biology

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 6%percentile
0.317Author 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.

Detection of Center-Involved Diabetic Macular Edema With Visual Impairment Using Multimodal Artificial Intelligence Algorithms

Ophthalmology Retina(2025)10.1016/j.oret.2025.04.016
Top 53%
0.317DataRank
Top 53%7 citations

Yi Pin Ng, Claire T. Calhoun, Jia Quan Chaung, Jie Yao, Yan Wang +10 more

Papers

Driven by 6 papers — median percentile 47. Top paper: “Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs”.

Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs

Neurology(2021)10.1212/wnl.0000000000012226
N/A
2.3DataRank · unranked
69 citations

Raymond P. Najjar, Xinxing Xu, Zhiqun Tang, Jing Liang Loo, Shweta Singhal +64 more

Detection of Center-Involved Diabetic Macular Edema With Visual Impairment Using Multimodal Artificial Intelligence Algorithms

Ophthalmology Retina(2025)10.1016/j.oret.2025.04.016
Top 53%
0.317DataRank
Top 53%7 citations

Yi Pin Ng, Claire T. Calhoun, Jia Quan Chaung, Jie Yao, Yan Wang +10 more

Optic Disc Classification by Deep Learning versus Expert Neuro‐Ophthalmologists

Annals of Neurology(2020)10.1002/ana.25839
N/A
0DataRank · unranked
87 citations

Nancy J. Newman, Raymond P. Najjar, Caroline Vasseneix, Xinxing Xu, Daniel Ting +11 more

DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and Severity

Ophthalmology(2022)10.1016/j.ophtha.2021.12.017
N/A
0DataRank · unranked
75 citations

Qingyu Chen, Elvira Agrón, Yih Chung Tham, Jocelyn Hui Lin Goh, Xiaofeng Lei +47 more

Detecting visually significant cataract using retinal photograph-based deep learning

Nature Aging(2022)10.1038/s43587-022-00171-6
N/A
0DataRank · unranked
51 citations

Jocelyn Hui Lin Goh, Ayesha Anees, Xiaofeng Lei, Tyler Hyungtaek Rim, Miao-Li Chee +22 more

Federated benchmarking of medical artificial intelligence with MedPerf

Nature Machine Intelligence(2023)10.1038/s42256-023-00652-2
N/A
0DataRank · unranked
153 citations

Renato Umeton, Micah Sheller, Alejandro Aristizábal, Johnu George, Anna Wuest +69 more