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

Yanling Liu

Central South University

ORCID: 0000-0002-5173-2426

Also affiliated with Qingdao Agricultural University, National Aeronautics and Space Administration, Nanjing University of Aeronautics and Astronautics

ChemistryComputer ScienceMedicine

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 4%percentile
0.745Author DataRank

Indexed papers

4in 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 4 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 →

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.

Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation

IEEE Transactions on Medical Imaging(2023)10.1109/tmi.2023.3320497
Top 27%
0.745DataRank
Top 27%25 citations

Zudi Lin, Won-Dong Jang, Xueying Wang, Qijia Shen, Wenjie Yin +22 more

Papers

Driven by 8 papers — median percentile 0. Top paper: “Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation”.

Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation

IEEE Transactions on Medical Imaging(2023)10.1109/tmi.2023.3320497
Top 27%
0.745DataRank
Top 27%25 citations

Zudi Lin, Won-Dong Jang, Xueying Wang, Qijia Shen, Wenjie Yin +22 more

Deep Learning Model Imputes Missing Stains in Multiplex Images

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.21.568088
N/A
0.241DataRank · unranked
4 citations

Wiem Lassoued, Kenneth Canubas, Shania Bailey, Yanling Liu, Clint Allen +7 more

Current Progress and Challenges in Large-scale 3D Mitochondria Instance Segmentation

Figshare(2023)10.36227/techrxiv.22116785.v1
Top 100%
0DataRank
Top 100%0 citations

Zudi Lin, Won-Dong Jang, Xueying Wang, Qijia Shen, Wenjie Yin +22 more

Current Progress and Challenges in Large-scale 3D Mitochondria Instance Segmentation

(2023)10.36227/techrxiv.22116785
Top 100%
0DataRank
Top 100%0 citations

Zudi Lin, Won-Dong Jang, Xueying Wang, Qijia Shen, Wenjie Yin +22 more

Data from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group

(2023)10.1158/1078-0432.c.6532878.v1
N/A
0DataRank · unranked
0 citations

Hyun Jung, G. Thomas Brown, Yanling Liu, Ben Somerville, Curtis Lisle +20 more

SequencErr: measuring and suppressing sequencer errors in next-generation sequencing data

Genome biology(2021)10.1186/s13059-020-02254-2
N/A
0DataRank · unranked
73 citations

Yu Sun, Yanling Liu, Pandurang Kolekar, Ying Shao, Karol Szlachta +14 more

Current Progress and Challenges in Large-scale 3D Mitochondria Instance Segmentation

Figshare(2023)10.36227/techrxiv.22116785.v2
Top 100%
0DataRank
Top 100%0 citations

Zudi Lin, Won-Dong Jang, Xueying Wang, Qijia Shen, Wenjie Yin +22 more

Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group

Clinical Cancer Research(2022)10.1158/1078-0432.ccr-22-1663
N/A
0DataRank · unranked
28 citations

Hyun Jung, G. Thomas Brown, Yanling Liu, Ben Somerville, Curtis Lisle +20 more