Haipeng Wang

5 papers in the catalog · China, Shanghai, Hangzhou

Haipeng Wang: 5 papers in the catalog · China, Shanghai, Hangzhou · Chinese Academy of Sciences, Shandong University of Technology · Works on Denovo-GCN, DiNovo, Living proteomics benchmark

Affiliations

Chinese Academy of Sciences · Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology
Shandong University of Technology · School of Computer Science and Technology
University of Chinese Academy of Sciences

Elsewhere

ORCID 0000-0002-2366-7946

Papers

A living proteomics benchmark for comprehensive evaluation of deep learning-based de novo peptide sequencing tools (2026, Nature Methods (Registered Report))
DiNovo enables high-coverage and high-confidence de novo peptide sequencing via mirror proteases and deep learning (2026, Nature Communications)
DiNovo: high-coverage, high-confidence de novo peptide sequencing using mirror proteases and deep learning (2025, bioRxiv)
Denovo-GCN: De Novo Peptide Sequencing by Graph Convolutional Neural Networks (2023, Applied Sciences (MDPI))
pNovo: De novo Peptide Sequencing and Identification Using HCD Spectra (2010, Journal of Proteome Research)

Methods and tools

Denovo-GCN, DiNovo, Living proteomics benchmark, pNovo

Co-authors (77)

Ranked by Newman fractional collaboration strength, so a pair on a two-author paper counts for more than a pair on a 50-author consortium paper.

Ruitao Wu strength 0.47, 4 shared
Runtao Wang strength 0.33, 1 shared
Xiang Zhang (Shandong) strength 0.33, 1 shared
Hao Chi strength 0.22, 3 shared
Yan Fu strength 0.22, 3 shared
Di Zhang strength 0.14, 3 shared
Jiaxing Dai strength 0.12, 2 shared
Jinghan Yang strength 0.12, 2 shared
Li Kang strength 0.12, 2 shared
Lijin Yao strength 0.12, 2 shared
Ping Xu strength 0.12, 2 shared
Piyu Zhou strength 0.12, 2 shared
Xinming Li strength 0.12, 2 shared
Xueli Peng strength 0.12, 2 shared
Yanchang Li strength 0.12, 2 shared
Yao Zhang strength 0.12, 2 shared
Zhiyuan Cheng strength 0.12, 2 shared
Zixuan Cao strength 0.12, 2 shared
Bing Yang strength 0.10, 1 shared
Chao Liu strength 0.10, 1 shared
Chun-Qing Song strength 0.10, 1 shared
Le-Heng Wang strength 0.10, 1 shared
Meng-Qiu Dong strength 0.10, 1 shared
Rui-Xiang Sun strength 0.10, 1 shared
Si-Min He strength 0.10, 1 shared
Zuo-Fei Yuan strength 0.10, 1 shared
Yaoyu He strength 0.06, 1 shared
Alfred Nilsson strength 0.02, 1 shared
Baozhen Shan strength 0.02, 1 shared
Benjamin A. Neely strength 0.02, 1 shared
Bin Ma strength 0.02, 1 shared
Ceder Dens strength 0.02, 1 shared
Charlotte Adams strength 0.02, 1 shared
Cheng Chang strength 0.02, 1 shared
Cheng Ge strength 0.02, 1 shared
Chenyu Yao strength 0.02, 1 shared
Christian Nix strength 0.02, 1 shared
Daniela Klaproth-Andrade strength 0.02, 1 shared
Ekapol Chuangsuwanich strength 0.02, 1 shared
Guillaume Deflandre strength 0.02, 1 shared

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