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

Binsheng Zhao

ORCID: 0009-0009-9934-9141

Medicine

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

0.208Author 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 →

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

Impact of artificial intelligence-based and traditional image preprocessing and resampling on MRI-based radiomics for classification of papillary thyroid carcinoma

BJR|Artificial Intelligence(2025)10.1093/bjrai/ubaf006

Top 65%

0.208DataRank

Top 65%3 citations

Ramesh Paudyal, Akash Shah, Nora Katabi, Vaios Hatzoglou, Binsheng Zhao +7 more

Papers

Driven by 14 papers — median percentile 35. Top paper: “Identification of Non–Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics”.

Identification of Non–Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics

Clinical Cancer Research(2020)10.1158/1078-0432.ccr-19-2942

N/A

5.8DataRank · unranked

178 citations

Matthew Fronheiser, Lin Lü, Shuyan Du, Wendy Hayes, David Leung +7 more

Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging

Nature Communications(2021)10.1038/s41467-021-26990-6

N/A

3.7DataRank · unranked

101 citations

Laurent Dercle, Binsheng Zhao, Lawrence H. Schwartz, Lin Lü

Impact of artificial intelligence-based and traditional image preprocessing and resampling on MRI-based radiomics for classification of papillary thyroid carcinoma

BJR|Artificial Intelligence(2025)10.1093/bjrai/ubaf006

Top 65%

0.208DataRank

Top 65%3 citations

Ramesh Paudyal, Akash Shah, Nora Katabi, Vaios Hatzoglou, Binsheng Zhao +7 more

Understanding Sources of Variation to Improve the Reproducibility of Radiomics

Frontiers in Oncology(2021)10.3389/fonc.2021.633176

N/A

0DataRank · unranked

153 citations

Binsheng Zhao

Convolutional Neural Network Addresses the Confounding Impact of CT Reconstruction Kernels on Radiomics Studies

Tomography(2021)10.3390/tomography7040074

N/A

0DataRank · unranked

2 citations

Shawn Sun, Manjun Xiao, Hao Yang, Lin Lü, Yajun Li +3 more

Radiomic signatures to predict survival in patients with advanced hepatocellular carcinoma (HCC) treated with sorafenib +/- doxorubicin: Correlative science from CALGB 80802 (Alliance).

Journal of Clinical Oncology(2021)10.1200/jco.2021.39.3_suppl.343

N/A

0DataRank · unranked

1 citations

Susan M. Geyer, Andrew B. Nixon, Federico Innocenti, Qian Shi, Sawyer Jacobson +12 more

The Impact of Image Acquisition Parameters and ComBat Harmonization on the Predictive Performance of Radiomics: A Renal Cell Carcinoma Model

Applied Sciences(2022)10.3390/app12199824

N/A

0DataRank · unranked

15 citations

Lin Lu, Hao Yang, Oğuz Akın, Lawrence H. Schwartz, Binsheng Zhao +1 more

Baseline Radiomic Signature to Estimate Overall Survival in Patients With NSCLC

Journal of Thoracic Oncology(2023)10.1016/j.jtho.2022.12.019

N/A

0DataRank · unranked

25 citations

Matthew Fronheiser, Naiyer A. Rizvi, Matthew D. Hellmann, Sabine Maier, Wendy Hayes +7 more

Dual-Stage AI Model for Enhanced CT Imaging: Precision Segmentation of Kidney and Tumors

Tomography(2025)10.3390/tomography11010003

N/A

0DataRank · unranked

11 citations

Lin Lu, Hao Yang, Pengfei Geng, Oğuz Akın, Helena Furberg +3 more

Can MRI radiomics distinguish residual adenocarcinoma from acellular mucin in treated rectal cancer?

European Journal of Radiology(2025)10.1016/j.ejrad.2025.111986

N/A

0DataRank · unranked

6 citations

Abdalla Ibrahim, Akshay Baheti, Peter Gibbs, Shannon P. Sheedy, Sonia Lee +16 more

Comparing quantitative imaging biomarker alliance volumetric CT classifications with RECIST response categories

Radiology Advances(2025)10.1093/radadv/umaf001

N/A

0DataRank · unranked

2 citations

Nancy A. Obuchowski, Hao Yang, Yen Chou, Hong Ma, Pingzhen Guo +4 more

Variability of HCC Tumor Diameter and Density Measurements on Dynamic Contrast-Enhanced Computed Tomography

Tomography(2025)10.3390/tomography11030036

N/A

0DataRank · unranked

1 citations

Abdalla Ibrahim, Pengfei Geng, Qian Wu, Yen Chou, Oğuz Akın +4 more

Enhanced Detection of Treatment Effects on Metastatic Colorectal Cancer with Volumetric CT Measurements for Tumor Burden Growth Rate Evaluation

Clinical Cancer Research(2020)10.1158/1078-0432.ccr-20-1493

N/A

0DataRank · unranked

36 citations

Julia Wilkerson, Sanja Karovic, Binsheng Zhao, Jessica Flynn, Mengxi Zhou +13 more

Multisite Technical and Clinical Performance Evaluation of Quantitative Imaging Biomarkers from 3D FDG PET Segmentations of Head and Neck Cancer Images

Tomography(2020)10.18383/j.tom.2020.00004

N/A

0DataRank · unranked

7 citations

John M. Buatti, Christian Bauer, Ethan Ulrich, Payam Ahmadvand, Mikalai M. Budzevich +15 more