Long-Chen Shen

Nanjing University of Science and Technology

Biochemistry, 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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “SAResNet: self-attention residual network for predicting DNA-protein binding”.

SAResNet: self-attention residual network for predicting DNA-protein binding

Briefings in Bioinformatics(2021)10.1093/bib/bbab101

N/A

0DataRank · unranked

55 citations

Yan Liu, Jiangning Song, Dong‐Jun Yu, Long-Chen Shen

Improving protein fold recognition using triplet network and ensemble deep learning

Briefings in Bioinformatics(2021)10.1093/bib/bbab248

N/A

0DataRank · unranked

17 citations

Ke Han, Yiheng Zhu, Ying Zhang, Long-Chen Shen, Jiangning Song +2 more

MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network

Briefings in Bioinformatics(2021)10.1093/bib/bbab445

N/A

0DataRank · unranked

15 citations

Long-Chen Shen, Yiheng Zhu, Jian Xu, Jiangning Song, Dong‐Jun Yu +1 more

Improving the prediction of DNA-protein binding by integrating multi-scale dense convolutional network with fault-tolerant coding

Analytical Biochemistry(2022)10.1016/j.ab.2022.114878

N/A

0DataRank · unranked

8 citations

Long-Chen Shen, Yuan-Hao Jiang, Shang Gao, Jiangning Song, Dong‐Jun Yu +1 more

TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level

Briefings in Bioinformatics(2023)10.1093/bib/bbad132

N/A

0DataRank · unranked

17 citations

Wei Guo, Chen Li, Long-Chen Shen, Robin B. Gasser, Jiangning Song +3 more