Christopher Wiedeman

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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Disrupting adversarial transferability in deep neural networks”.

Disrupting adversarial transferability in deep neural networks

Patterns(2022)10.1016/j.patter.2022.100472

N/A

0DataRank · unranked

8 citations

Ge Wang, Christopher Wiedeman

Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction

Visual Computing for Industry Biomedicine and Art(2024)10.1186/s42492-024-00161-y

N/A

0DataRank · unranked

3 citations

Peter W. Lorraine, Ge Wang, Richard Kinh Gian, Amber L. Simpson, Jacob Peoples +2 more

Decorrelative network architecture for robust electrocardiogram classification

Patterns(2024)10.1016/j.patter.2024.101116

N/A

0DataRank · unranked

1 citations

Ge Wang, Christopher Wiedeman

Privacy-Preserving Latent Diffusion-Based Synthetic Medical Image Generation

IEEE Transactions on Medical Imaging(2025)10.1109/tmi.2025.3618511

N/A

0DataRank · unranked

1 citations

Wenjun Xia, Chuang Niu, Christopher Wiedeman, Ge Wang, Yongyi Shi